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ORCIDCoRR, November 2021
- Daniel Freund, Chamsi Hssaine:
Earning Sans Learning: Noisy Decision-Making and Labor Supply on Gig Economy Platforms. - Jianqin Zhou, Sichun Yang, Xifeng Wang, Wanquan Liu:
A New Algorithm based on Extent Bit-array for Computing Formal Concepts. - Jianqin Zhou, Sichun Yang, Xifeng Wang, Wanquan Liu:
Granule Description based on Compound Concepts. - Jianqin Zhou, Sichun Yang, Xifeng Wang, Wanquan Liu:
Concept and Attribute Reduction Based on Rectangle Theory of Formal Concept. - Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang:
Adaptive Hierarchical Similarity Metric Learning with Noisy Labels. - Jaya Krishna Mandivarapu, Eric Hunch, Glenn Fung:
Domain Agnostic Few-Shot Learning For Document Intelligence. - Zhiyuan Yao, Zihan Ding, Thomas Heide Clausen:
Reinforced Workload Distribution Fairness. - Zhiguo Wang, Xintong Wang, Ruoyu Sun, Tsung-Hui Chang:
Federated Semi-Supervised Learning with Class Distribution Mismatch. - Yifan Chen, Qi Zeng, Heng Ji, Yun Yang:
Skyformer: Remodel Self-Attention with Gaussian Kernel and Nyström Method. - George Sung, Kanstantsin Sokal, Esha Uboweja, Valentin Bazarevsky, Jonathan Baccash, Eduard Gabriel Bazavan, Chuo-Ling Chang, Matthias Grundmann:
On-device Real-time Hand Gesture Recognition. - Nooshin Mojab, Philip S. Yu, Joelle A. Hallak, Darvin Yi:
CvS: Classification via Segmentation For Small Datasets. - Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos, Charalampos E. Tsourakakis:
On the Power of Edge Independent Graph Models. - Ashwin Singh, Mallika Subramanian, Anmol Agarwal, Pratyush Priyadarshi, Shrey Gupta, Kiran Garimella, Sanjeev Kumar, Ritesh Kumar, Lokesh Garg, Erica Arya, Ponnurangam Kumaraguru:
Diagnosing Web Data of ICTs to Provide Focused Assistance in Agricultural Adoptions. - T. Nathan Mundhenk, Mikel Landajuela, Ruben Glatt, Cláudio P. Santiago, Daniel M. Faissol, Brenden K. Petersen:
Symbolic Regression via Neural-Guided Genetic Programming Population Seeding. - Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue Liu, Hao Liu, Dejing Dou:
Generalized Data Weighting via Class-level Gradient Manipulation. - Hairo U. Miranda Belmonte, Victor Muñiz-Sánchez, Francisco Corona:
Word embeddings for topic modeling: an application to the estimation of the economic policy uncertainty index. - Jean-Samuel Leboeuf, Frédéric Leblanc, Mario Marchand:
Improving Generalization Bounds for VC Classes Using the Hypergeometric Tail Inversion. - Zheng Chen, Zhengming Ding, David Crandall, Lantao Liu:
Polyline Based Generative Navigable Space Segmentation for Autonomous Visual Navigation. - Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit S. Dhillon:
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction. - Zheng Chen, Weizhe Chen, Shi Bai, Lantao Liu:
Multi-Objective Autonomous Exploration on Real-Time Continuous Occupancy Maps. - Feng Zhu, Andrew R. Sedler, Harrison A. Grier, Nauman Ahad, Mark A. Davenport, Matthew T. Kaufman, Andrea Giovannucci, Chethan Pandarinath:
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time. - Raunaq M. Bhirangi, Tess Lee Hellebrekers, Carmel Majidi, Abhinav Gupta:
ReSkin: versatile, replaceable, lasting tactile skins. - James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Generalized Proximal Policy Optimization with Sample Reuse. - Zheng Chen, Shi Bai, Lantao Liu:
Efficient Map Prediction via Low-Rank Matrix Completion. - Emanuel Tewolde:
Game Transformations that preserve Nash Equilibrium sets and/or Best Response sets. - Jishnu Mukhoti, Joost van Amersfoort, Philip H. S. Torr, Yarin Gal:
Deep Deterministic Uncertainty for Semantic Segmentation. - Mahan Fakouri Fard, Mostafa Sahraei-Ardakani, Ge Ou, Mingxi Liu:
Targeted Hardening of Electric Distribution System Components for Enhanced Resilience against Earthquakes. - Ataberk Olgun, Juan Gómez-Luna, Konstantinos Kanellopoulos, Behzad Salami, Hasan Hassan, Oguz Ergin, Onur Mutlu:
PiDRAM: A Holistic End-to-end FPGA-based Framework for Processing-in-DRAM. - Mossad Helali, Essam Mansour, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas:
A Scalable AutoML Approach Based on Graph Neural Networks. - Hussam Habib, Rishab Nithyanand:
Reddit and the Fourth Estate: Exploring the magnitude and effects of media influence on community level moderation on Reddit. - A. Izzidien, P. Romero, S. Fitz, David Stillwell:
Measuring a Texts Fairness Dimensions Using Machine Learning Based on Social Psychological Factors. - Haibei Zhu, Teruhisa Misu, Sujitha Martin, Xingwei Wu, Kumar Akash:
Improving Driver Situation Awareness Prediction using Human Visual Sensory and Memory Mechanism. - Ghananeel Rotithor, Iman Salehi, Edward W. Tunstel, Ashwin P. Dani:
Stitching Dynamic Movement Primitives and Image-based Visual Servo Control. - Abhin Shah, Wei-Ning Chen, Johannes Ballé, Peter Kairouz, Lucas Theis:
Optimal Compression of Locally Differentially Private Mechanisms. - Kshama Dwarakanath, Svitlana S. Vyetrenko, Tucker Balch:
Profit equitably: An investigation of market maker's impact on equitable outcomes. - Weici Pan, Guanya Shi, Yiheng Lin, Adam Wierman:
Online Optimization with Feedback Delay and Nonlinear Switching Cost. - John Carter, Spiros Mancoridis:
Evaluation of an Anomaly Detector for Routers using Parameterizable Malware in an IoT Ecosystem. - Mary Adkisson, Jeffrey C. Kimmell, Maanak Gupta, Mahmoud Abdelsalam:
Autoencoder-based Anomaly Detection in Smart Farming Ecosystem. - Thomas Führer, Norbert Heuer, Michael Karkulik:
MINRES for second-order PDEs with singular data. - A. Izzidien, P. Romero, S. Fitz, David Stillwell:
The Golden Rule as a Heuristic to Measure the Fairness of Texts Using Machine Learning. - Henning Lange, J. Nathan Kutz:
FC2T2: The Fast Continuous Convolutional Taylor Transform with Applications in Vision and Graphics. - Abdollah Zakeri, Rohollah Hedayati, Mohammad Khedmati, Mehran Taghipour-Gorjikolaie:
Classification of jujube fruit based on several pricing factors using machine learning methods. - Yuji Nakatsukasa, Joel A. Tropp:
Fast & Accurate Randomized Algorithms for Linear Systems and Eigenvalue Problems. - Cecilia Ferrando, Jennifer Gillenwater, Alex Kulesza:
Combining Public and Private Data. - Amil Dravid, Aggelos K. Katsaggelos:
Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks. - Victor Peña-Macias:
How to Find New Characteristic-Dependent Linear Rank Inequalities using Secret Sharing. - Praveen Kumar Chandaliya, Zahid Akhtar, Neeta Nain:
Longitudinal Analysis of Mask and No-Mask on Child Face Recognition. - Prabhav Arora:
A Demonstration of Benchmarking Time Series Management Systems in the Cloud. - Harsh Kohli:
Learning Representations for Zero-Shot Retrieval over Structured Data. - Glenn Liu, Peidong Wang, Matthew Beveridge, Young-Oh Kwon, Iddo Drori:
Predicting Atlantic Multidecadal Variability. - Ellen Park, Jae Deok Kim, Nadège Aoki, Yumeng Melody Cao, Yamin Arefeen, Matthew Beveridge, David Nicholson, Iddo Drori:
Predicting Critical Biogeochemistry of the Southern Ocean for Climate Monitoring. - Tobias Leibner, Maja Matis, Mario Ohlberger, Stephan Rave:
Distributed model order reduction of a model for microtubule-based cell polarization using HAPOD. - Akira Sakai, Taro Sunagawa, Spandan Madan, Kanata Suzuki, Takashi Katoh, Hiromichi Kobashi, Hanspeter Pfister, Pawan Sinha, Xavier Boix, Tomotake Sasaki:
Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations: late-stopping, tuning batch normalization and invariance loss. - Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas A. Ketz, Praveen K. Pilly, Andrea Soltoggio:
Context Meta-Reinforcement Learning via Neuromodulation. - Wenzheng Chen, Joey Litalien, Jun Gao, Zian Wang, Clement Fuji Tsang, Sameh Khamis, Or Litany, Sanja Fidler:
DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer. - Nimesha Wickramasinghe, Mohamed Nabeel, Kenneth Thilakaratne, Chamath Keppitiyagama, Kasun De Zoysa:
Uncovering IP Address Hosting Types Behind Malicious Websites. - Ojas Parekh, R. Ravi, Michael Zlatin:
On Small-Depth Tree Augmentations. - Chi-Hua Chen:
Temporal-Spatial Feature Extraction Based on Convolutional Neural Networks for Travel Time Prediction. - Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Sijia Liu, Yanzhi Wang, Xue Lin:
RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions. - Steven Ge, Toshiya Itoh:
Characterization of the Imbalance Problem on Complete Bipartite Graphs. - Sung-En Chang, Yanyu Li, Mengshu Sun, Yanzhi Wang, Xue Lin:
ILMPQ : An Intra-Layer Multi-Precision Deep Neural Network Quantization framework for FPGA. - (Withdrawn) TransAug: Translate as Augmentation for Sentence Embeddings.
- Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Zhangyang Wang, Ahmed Hassan Awadallah:
DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models. - Loren Lugosch, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert:
Pseudo-Labeling for Massively Multilingual Speech Recognition. - Xuxi Chen, Tianlong Chen, Zhenyu Zhang, Zhangyang Wang:
You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership. - Asoke Datta, Yesdaulet Izenov, Brian Tsan, Florin Rusu:
Simpli-Squared: A Very Simple Yet Unexpectedly Powerful Join Ordering Algorithm Without Cardinality Estimates. - Ashima Garg, Shaurya Bagga, Yashvardhan Singh, Saket Anand:
HIERMATCH: Leveraging Label Hierarchies for Improving Semi-Supervised Learning. - Taha Elmokadem:
Advanced Algorithms of Collision Free Navigation and Flocking for Autonomous UAVs. - Nicholas Boucher, Ross J. Anderson:
Trojan Source: Invisible Vulnerabilities. - Zhentao Liang, Jin Mao, Kun Lu, Gang Li:
Finding citations for PubMed: A large-scale comparison between five freely available bibliographic data sources. - Jian Du, Song Li, Fengran Mo, Siheng Chen:
Dynamic Differential-Privacy Preserving SGD. - John Miller, Elahe Soltanaghai, Raewyn Duvall, Jeff Chen, Vikram Bhat, Nuno Pereira, Anthony G. Rowe:
Multi-User Augmented Reality with Infrastructure-free Collaborative Localization. - Emily L. Aiken, Viraj Thakur, Joshua E. Blumenstock:
Phone Sharing and Cash Transfers in Togo: Quantitative Evidence from Mobile Phone Data. - Fernando Alonso-Fernandez, Pedro Tome-Gonzalez, Virginia Ruiz-Albacete, Javier Ortega-Garcia:
Iris Recognition Based on SIFT Features. - Frederik Hvilshøj, Alexandros Iosifidis, Ira Assent
:
On Quantitative Evaluations of Counterfactuals. - Virginia Ruiz-Albacete, Pedro Tome-Gonzalez, Fernando Alonso-Fernandez, Javier Galbally, Julian Fiérrez, Javier Ortega-Garcia:
Direct attacks using fake images in iris verification. - Yaqing Wang, Song Wang, Quanming Yao, Dejing Dou:
Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification. - Yonghui Fan, Yalin Wang:
Geometry-Aware Hierarchical Bayesian Learning on Manifolds. - Matthew Shunshi Zhang, Murat A. Erdogdu, Animesh Garg:
Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings. - Xiaolong Li, Yijia Weng, Li Yi, Leonidas J. Guibas, A. Lynn Abbott, Shuran Song, He Wang:
Leveraging SE(3) Equivariance for Self-Supervised Category-Level Object Pose Estimation. - Chanjun Park, Seolhwa Lee, Hyeonseok Moon, Sugyeong Eo, Jaehyung Seo, Heuiseok Lim:
How should human translation coexist with NMT? Efficient tool for building high quality parallel corpus. - Jaehyung Seo, Chanjun Park, Sugyeong Eo, Hyeonseok Moon, Heuiseok Lim:
Automatic Knowledge Augmentation for Generative Commonsense Reasoning. - Jaechang Kim, Yunjoo Lee, Seunghoon Hong, Jungseul Ok:
Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution. - Lujia Shen, Shouling Ji, Xuhong Zhang, Jinfeng Li, Jing Chen, Jie Shi, Chengfang Fang, Jianwei Yin, Ting Wang:
Backdoor Pre-trained Models Can Transfer to All. - Mahmoud Abdelrahman, Adrian Chong, Clayton Miller:
Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec. - Prithwish Jana, Debasish Jana:
AutoDrone: Shortest Optimized Obstacle-Free Path Planning for Autonomous Drones. - Jiaxu Leng, Taiyue Chen, Xinbo Gao, Yongtao Yu, Ye Wang, Feng Gao, Yue Wang:
A Comparative Review of Recent Few-Shot Object Detection Algorithms. - Raymond R. Devillers:
Articulations and Products of Transition Systems and their Applications to Petri Net Synthesis. - Haozhe Wu, Jia Jia, Haoyu Wang, Yishun Dou, Chao Duan, Qingshan Deng:
Imitating Arbitrary Talking Style for Realistic Audio-DrivenTalking Face Synthesis. - Clément Bonnet, Paul Caron, Thomas D. Barrett, Ian Davies, Alexandre Laterre:
One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient Reinforcement Learning. - Zhang Cheng, Haocheng Wan, Xinyi Shen, Zizhao Wu:
PatchFormer: A Versatile 3D Transformer Based on Patch Attention. - Weirui Ye, Shaohuai Liu, Thanard Kurutach, Pieter Abbeel, Yang Gao:
Mastering Atari Games with Limited Data. - Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen:
Adjacency constraint for efficient hierarchical reinforcement learning. - Jonas Baggenstos, Diyora Salimova:
Approximation properties of Residual Neural Networks for Kolmogorov PDEs. - Jon Ander Rivera, Jamie M. Taylor, Angel Javier Omella, David Pardo:
On quadrature rules for solving Partial Differential Equations using Neural Networks. - Bartosz Zielinski:
A Non-Deterministic Multiset Query Language. - Long Zhang, Javier Ron, Benoit Baudry, Martin Monperrus:
Chaos Engineering of Ethereum Blockchain Clients. - A. T. Aniwange, P. T. Nyishar, Babajide Samuel Afolabi, A. O. Ejidokun:
A Hybrid Software Test Automation for Educational Portals. - Jingyao Yang, Chao Liang, Yanrui Niu, Baojin Huang, Zhongyuan Wang:
A Spatio-Temporal Identity Verification Method for Person-Action Instance Search in Movies. - Adam Faci, Marie-Jeanne Lesot, Claire Laudy:
Fuzzy Conceptual Graphs: a comparative discussion. - Xuanli He, Iman Keivanloo, Yi Xu, Xiang He, Belinda Zeng, Santosh Rajagopalan, Trishul Chilimbi:
Magic Pyramid: Accelerating Inference with Early Exiting and Token Pruning. - Hanz Cuevas-Velasquez, Antonio Javier Gallego, Robert B. Fisher:
Two Heads are Better than One: Geometric-Latent Attention for Point Cloud Classification and Segmentation. - Miao Zhang, Miaojing Shi, Li Li:
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning. - Ruoyu Cheng, Junchi Yan:
On Joint Learning for Solving Placement and Routing in Chip Design. - Hamideh Sadat Fazael Ardakani, Niloufar Rahmani, Sajad Daei:
Multi-weight Matrix Completion with Arbitrary Subspace Prior Information. - Dhruv Garg, Nanjangud C. Narendra, Selome Tesfatsion:
Heuristic and Reinforcement Learning Algorithms for Dynamic Service Placement on Mobile Edge Cloud. - Govind Sharma, Swyam Prakash Singh, V. Susheela Devi, M. Narasimha Murty:
The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite Hypergraphs. - Chunkai Zhang, Quanjian Dai, Zilin Du, Wensheng Gan, Jian Weng, Philip S. Yu:
Utility-driven Mining of Contiguous Sequences. - Patrick Kidger, Cristian Garcia:
Equinox: neural networks in JAX via callable PyTrees and filtered transformations. - Govind Sharma, Paarth Gupta, M. Narasihma Murty:
Love tHy Neighbour: Remeasuring Local Structural Node Similarity in Hypergraph-Derived Networks. - Mursalin Habib, Md. Salman Shamil, M. Sohel Rahman:
Counting and Verifying Abelian Border Arrays of Binary Words. - Tommaso Tassi, Alberto Zingaro, Luca Dedè:
A Machine Learning approach to enhance the SUPG stabilization method for advection-dominated differential problems. - Ittai Rubinstein:
Explicit and Efficient Construction of (nearly) Optimal Rate Codes for Binary Deletion Channel and the Poisson Repeat Channel. - Philemon Brakel, Steven Bohez, Leonard Hasenclever, Nicolas Heess, Konstantinos Bousmalis:
Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner. - Guotong Ren, Rami M. Younis:
A Quasi-Newton method for physically-admissible simulation of Poiseuille flow under fracture propagation. - Govind Sharma, Aditya Challa, Paarth Gupta, M. Narasimha Murty:
Higher-Order Relations Skew Link Prediction in Graphs. - Rajeev Alur, Suguman Bansal, Osbert Bastani, Kishor Jothimurugan:
A Framework for Transforming Specifications in Reinforcement Learning. - Anthony M. Colas, Ali Sadeghian, Yue Wang, Daisy Zhe Wang:
EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation. - Haoran Su, Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty:
A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles. - Édouard Bonnet, Eun Jung Kim, Amadeus Reinald, Stéphan Thomassé:
Twin-width VI: the lens of contraction sequences. - Kim Hammar, Rolf Stadler:
Intrusion Prevention through Optimal Stopping. - Maria Fox, Michael Meredith, J. Alexander Brearley, Dan Jones, Derek Long:
Long-Range Route-planning for Autonomous Vehicles in the Polar Oceans. - Anindya Sarkar, Anirban Sarkar, Sowrya Gali, Vineeth N. Balasubramanian:
Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach. - Arunabha M. Roy, Rikhi Bose, Jayabrata Bhaduri:
A fast accurate fine-grain object detection model based on YOLOv4 deep neural network. - Giovanni Maciel Ferreira Silva, Taufik Abrão:
Throughput and Latency in the Distributed Q-Learning Random Access mMTC Networks. - Mohamed Akrout, Faouzi Bellili, Amine Mezghani, Hayet Amdouni:
Optimizing Binary Symptom Checkers via Approximate Message Passing. - Shicheng Wan, Wensheng Gan, Xu Guo, Jiahui Chen, Unil Yun:
FUIM: Fuzzy Utility Itemset Mining. - Daniel Serna-Poot:
Mobile Technologies in Education. - Jinbao Miao, Shicheng Wan, Wensheng Gan, Jiayi Sun, Jiahui Chen:
TargetUM: Targeted High-Utility Itemset Querying. - Emmanouil Zaranis, Georgios Paraskevopoulos, Athanasios Katsamanis, Alexandros Potamianos:
EmpBot: A T5-based Empathetic Chatbot focusing on Sentiments. - Nishad Gothoskar, Marco F. Cusumano-Towner, Ben Zinberg, Matin Ghavamizadeh, Falk Pollok, Austin Garrett, Joshua B. Tenenbaum, Dan Gutfreund, Vikash K. Mansinghka:
3DP3: 3D Scene Perception via Probabilistic Programming. - Mansura Habiba, Eoin Borphy, Barak A. Pearlmutter, Tomás Ward:
ECG synthesis with Neural ODE and GAN models. - Yotam M. Y. Feldman, Mooly Sagiv, Sharon Shoham, James R. Wilcox:
Property-Directed Reachability as Abstract Interpretation in the Monotone Theory. - Mansura Habiba, Barak A. Pearlmutter:
Neural Network based on Automatic Differentiation Transformation of Numeric Iterate-to-Fixedpoint. - Alireza Naderi, Yaniv Plan:
Beyond Independent Measurements: General Compressed Sensing with GNN Application. - Jermaine Janszen, Babar Shahzaad, Balsam Alkouz, Athman Bouguettaya:
Constraint-Aware Trajectory for Drone Delivery Services. - Yifan Li, Garrett Yoon, Mustafa Nasir-Moin, David Rosenberg, Sean Neifert, Douglas Kondziolka, Eric Karl Oermann:
Identifying and mitigating bias in algorithms used to manage patients in a pandemic. - Yuqin Yang, Mohamed S. Nafea, AmirEmad Ghassami, Negar Kiyavash:
Causal Discovery in Linear Structural Causal Models with Deterministic Relations. - Mansura Habiba, Barak A. Pearlmutter:
Continuous Convolutional Neural Networks: Coupled Neural PDE and ODE. - Mahdi Mirzapour, Andrzej Cegielski, Tommy Elfving:
Convergence and Semi-convergence of a class of constrained block iterative methods. - Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley:
Multi-Agent Advisor Q-Learning. - Sourya Dipta Das, Ayan Basak, Soumil Mandal, Dipankar Das:
AdvCodeMix: Adversarial Attack on Code-Mixed Data. - Shenghao Qiu, You Liang, Zheng Wang:
Optimizing Sparse Matrix Multiplications for Graph Neural Networks. - Saumitra Mishra, Sanghamitra Dutta, Jason Long, Daniele Magazzeni:
A Survey on the Robustness of Feature Importance and Counterfactual Explanations. - Jessy Ceha, Edith Law, Dana Kulic, Pierre-Yves Oudeyer, Didier Roy:
Identifying Functions and Behaviours of Social Robots during Learning Activities: Teachers' Perspective. - Carole-Jean Wu, Ramya Raghavendra, Udit Gupta, Bilge Acun, Newsha Ardalani, Kiwan Maeng, Gloria Chang, Fiona Aga Behram, James Huang, Charles Bai, Michael Gschwind, Anurag Gupta, Myle Ott, Anastasia Melnikov, Salvatore Candido, David Brooks, Geeta Chauhan, Benjamin Lee, Hsien-Hsin S. Lee, Bugra Akyildiz, Maximilian Balandat, Joe Spisak, Ravi Jain, Mike Rabbat, Kim M. Hazelwood:
Sustainable AI: Environmental Implications, Challenges and Opportunities. - Sameer Khanna:
Conical Classification For Computationally Efficient One-Class Topic Determination. - Younan Gao:
Computing Matching Statistics on Repetitive Texts. - Chidhambararajan R, Aman Rangaur, Sibi Chakkaravarthy Sethuraman:
EfficientWord-Net: An Open Source Hotword Detection Engine based on One-shot Learning. - Zhentong Shao, Qiaozhu Zhai, Xiaohong Guan:
A General Formulation for Evaluating the Performance of Linear Power Flow Models. - Chenming Li, Fei Meng, Han Ma, Jiankun Wang, Max Q.-H. Meng:
Relevant Region Sampling Strategy with Adaptive Heuristic Estimation for Asymptotically Optimal Motion Planning. - Shuto Otaki, Akira Terui, Masahiko Mikawa:
A Design and an Implementation of an Inverse Kinematics Computation in Robotics Using Real Quantifier Elimination based on Comprehensive Gröbner Systems. - Albert Gu, Karan Goel, Christopher Ré:
Efficiently Modeling Long Sequences with Structured State Spaces. - Yifeng Zheng, Cong Wang, Ruochen Wang, Huayi Duan, Surya Nepal:
Optimizing Secure Decision Tree Inference Outsourcing. - Siddhant Garg, Debi Prasanna Mohanty, Siva Prasad Thota, Sukumar Moharana:
A Simple Approach to Image Tilt Correction with Self-Attention MobileNet for Smartphones. - Martin Radfar, Athanasios Mouchtaris, Siegfried Kunzmann, Ariya Rastrow:
FANS: Fusing ASR and NLU for on-device SLU. - Kunal Chowdhury:
On multiple IoT data streams processing using LoRaWAN. - Aneesh Muppidi, Martin Radfar:
Speech Emotion Recognition Using Quaternion Convolutional Neural Networks. - Xiaoshuang Chen, Yiru Zhao, Yu Qin, Fei Jiang, Mingyuan Tao, Xiansheng Hua, Hongtao Lu:
PANet: Perspective-Aware Network with Dynamic Receptive Fields and Self-Distilling Supervision for Crowd Counting. - Mohammad Khosravi, Roy S. Smith:
Regularized Identification with Internal Positivity Side-Information. - Mohammad Khosravi, Roy S. Smith:
Kernel-based Impulse Response Identification with Side-Information on Steady-State Gain. - Yingying Li, Subhro Das, Jeff S. Shamma, Na Li:
Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guarantees. - Jinyue Song, Tianbo Gu, Prasant Mohapatra:
How BlockChain Can Help Enhance The Security And Privacy in Edge Computing? - Ziyang Ma, Xianjing Han, Xuemeng Song, Yiran Cui, Liqiang Nie:
Hierarchical Deep Residual Reasoning for Temporal Moment Localization. - Shibo Zhang, Yaxuan Li, Shen Zhang, Farzad Shahabi, Stephen Xia, Yu Deng, Nabil Alshurafa:
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances. - Deliang Wang, Yu Lu, Qinggang Meng, Penghe Chen:
Interpreting Deep Knowledge Tracing Model on EdNet Dataset. - Ran Zhao, Hanchen Yao, Houde Dai:
Shape Programmable Magnetic Pixel Soft Robot. - Seokjun Kim, Jaeeun Jang, HeeSeok Jung, Hyeoncheol Kim:
Artificial Association Neural Networks. - Chun Fu, Clayton Miller:
Using Google Trends as a proxy for occupant behavior to predict building energy consumption. - Yang Sun, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Shen Li, Xiaoyan Zhao:
Enhancing Top-N Item Recommendations by Peer Collaboration. - Oualid Zari, Chuan Xu, Giovanni Neglia:
Efficient passive membership inference attack in federated learning. - Yue Han, Dusit Niyato, Cyril Leung, Chunyan Miao, Dong In Kim:
A Dynamic Resource Allocation Framework for Synchronizing Metaverse with IoT Service and Data. - Kuo Li, Qing-Shan Jia, Jiaqi Yan:
An Actor-Critic Method for Simulation-Based Optimization. - Ananya Giri:
Analysis of North Indian Classical Ragas Using Tonnetz. - Kuo Li, Qing-Shan Jia:
Decentralized Multi-Agent Reinforcement Learning: An Off-Policy Method. - Youjie Zhou, Yiming Wang, Fabio Poiesi, Qi Qin, Yi Wan:
Loop closure detection using local 3D deep descriptors. - Jieao Zhu, Zijian Zhang, Zhongzhichao Wan, Linglong Dai:
Finite-Time Capacity: Making Exceed-Shannon Possible? - Amirmohammad Radmehr, Milad Asgari, Mehdi Tale Masouleh:
Experimental Study on the Imitation of the Human Head-and-Eye Pose Using the 3-DOF Agile Eye Parallel Robot with ROS and Mediapipe Framework. - Yuhui Quan, Zicong Wu, Hui Ji:
Gaussian Kernel Mixture Network for Single Image Defocus Deblurring. - S. Ramakrishnan, Jaswanthi Mandalapu, Subrahmanya Swamy Peruru, Bhavesh Jain, Eitan Altman:
Graph Neural Network based scheduling : Improved throughput under a generalized interference model. - Ljerka Luic, Drazenka Svelec-Juricic, Petar Misevic:
The Impact of Knowledge of the Issue of Identification and Authentication on the Information Security of Adolescents in the Virtual Space. - Runbo Ni, Xueyan Li, Fangqi Li, Xiaofeng Gao, Guihai Chen:
FastCover: An Unsupervised Learning Framework for Multi-Hop Influence Maximization in Social Networks. - Robert Hönig, Yiren Zhao, Robert D. Mullins:
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning. - Jinbao Zhu, Qifa Yan, Xiaohu Tang:
Multi-User Blind Symmetric Private Information Retrieval from Coded Servers. - Kaan Gökcesu, Hakan Gökcesu:
Efficient, Anytime Algorithms for Calibration with Isotonic Regression under Strictly Convex Losses. - Daiki Miyagawa, Azumi Mamiya, Genki Ichinose:
Adapting paths against zero-determinant strategies in repeated prisoner's dilemma games. - Justin Edwards, Orla Cooney, Rachel Edwards:
Alexa, Play Fetch! A Review of Alexa Skills for Pets. - Tom de Jong, Martín Hötzel Escardó:
Size Matters in Univalent Foundations. - Zhao Zan, Chao Liu, Heming Sun, Xiaoyang Zeng, Yibo Fan:
Learned Image Compression with Separate Hyperprior Decoders. - Itai Dinur, Nathan Keller, Ohad Klein:
Fine-Grained Cryptanalysis: Tight Conditional Bounds for Dense k-SUM and k-XOR. - Misgana Negassi, Diane Wagner, Alexander Reiterer:
Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation. - Bjørn Ivar Teigen, Neil Davies, Kai Olav Ellefsen, Tor Skeie, Jim Tørresen:
Beyond Bufferbloat: End-to-End Congestion Control Cannot Avoid Latency Spikes. - Anubhav Dogra, Sakshay Mahna, Srikant Sekhar Padhee, Ekta Singla:
Integrated Modular Solution for Task Oriented Manipulator Configuration Design. - Gunjan Haldar, Aman Mittal, Pradyumna Gupta:
DSC-IITISM at FinCausal 2021: Combining POS tagging with Attention-based Contextual Representations for Identifying Causal Relationships in Financial Documents. - Yossi Magrisso, Ehud Rivlin, Héctor Rotstein:
Local Trajectory Planning For UAV Autonomous Landing. - Zhongzhichao Wan, Jieao Zhu, Zijian Zhang, Linglong Dai:
Capacity for Electromagnetic Information Theory. - Huimin Shi, Quan Zhou, Yinghao Ni, Xiaofu Wu, Longin Jan Latecki:
DPNET: Dual-Path Network for Efficient Object Detectioj with Lightweight Self-Attention. - Mrinal Rawat, Ramya Hebbalaguppe, Lovekesh Vig:
PnPOOD : Out-Of-Distribution Detection for Text Classification via Plug andPlay Data Augmentation. - Samy Abbes:
Introduction to probabilistic concurrent systems. - Eugene Khvedchenya, Tatiana Gabruseva:
Fully convolutional Siamese neural networks for buildings damage assessment from satellite images. - Linjie Wang, Quan Zhou, Chenfeng Jiang, Xiaofu Wu, Longin Jan Latecki:
DRBANET: A Lightweight Dual-Resolution Network for Semantic Segmentation with Boundary Auxiliary. - Hongyang Du, Dusit Niyato, Jiawen Kang, Dong In Kim, Chunyan Miao:
Optimal Targeted Advertising Strategy For Secure Wireless Edge Metaverse. - Huaijun Jiang, Yu Shen, Yang Li:
Automated Hyperparameter Optimization Challenge at CIKM 2021 AnalyticCup. - Sara Papi, Matteo Negri, Marco Turchi:
Visualization: the missing factor in Simultaneous Speech Translation. - Mark E. O'Sullivan, Tatiana Gabruseva, Geraldine B. Boylan, M. O'Riordan, Gordon Lightbody, William P. Marnane:
Classification of fetal compromise during labour: signal processing and feature engineering of the cardiotocograph. - Faris B. Mismar, Carlos A. Cabrera:
Intermodulation Interference Detection in 6G Networks: A Machine Learning Approach. - Asier Gutiérrez-Fandiño, Miquel Noguer i Alonso, Petter Kolm, Jordi Armengol-Estapé:
FinEAS: Financial Embedding Analysis of Sentiment. - Sanghyeok Chu, Dongwan Kim, Bohyung Han:
Learning Debiased and Disentangled Representations for Semantic Segmentation. - Wentao Xu, Kazutoshi Sasahara:
A network-based approach to QAnon user dynamics during COVID-19 infodemic. - Andy Catruna, Adrian Cosma, Ion Emilian Radoi:
From Face to Gait: Weakly-Supervised Learning of Gender Information from Walking Patterns. - Dheeraj Rajagopal, Vivek Khetan, Bogdan Sacaleanu, Anatole Gershman, Andrew E. Fano, Eduard H. Hovy:
Cross-Domain Reasoning via Template Filling. - Frédéric Blanqui, Gilles Dowek, Émilie Grienenberger, Gabriel Hondet, François Thiré:
Some axioms for mathematics. - Tao Liu, Ruida Zhou, Dileep Kalathil, P. R. Kumar, Chao Tian:
Fast Global Convergence of Policy Optimization for Constrained MDPs. - Nathan Crone, Adam Power, John Weldon:
Quality Estimation Using Round-trip Translation with Sentence Embeddings. - Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays:
Revealing and Protecting Labels in Distributed Training. - Jennifer Tang, Yury Polyanskiy:
Capacity of Noisy Permutation Channels. - Tomislav Duricic, Dominik Kowald, Markus Schedl, Elisabeth Lex:
My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music. - Aleksandr Timofeev, Andrei Afonin, Yehao Liu:
Can we learn gradients by Hamiltonian Neural Networks? - Sarah E. Finch, James D. Finch, Daniil Huryn, William Hutsell, Xiaoyuan Huang, Han He, Jinho D. Choi:
An Approach to Inference-Driven Dialogue Management within a Social Chatbot. - James D. Finch, Sarah E. Finch, Jinho D. Choi:
What Went Wrong? Explaining Overall Dialogue Quality through Utterance-Level Impacts. - Chinmaya Kumar Dehury, Prasan Kumar Sahoo, Bharadwaj Veeravalli:
RRFT: A Rank-Based Resource Aware Fault Tolerant Strategy for Cloud Platforms. - Sairamvinay Vijayaraghavan, Jinxiao Song, David Tomassi, Siddhartha Punj, Jailan Sabet:
Text Classification for Task-based Source Code Related Questions. - Jahnavi Reddy, Nelly Elsayed, Zag ElSayed, Murat Ozer:
Data Breaches in Healthcare Security Systems. - Trevor Angle, Naman Shah, Pulkit Verma, Siddharth Srivastava:
JEDAI Explains Decision-Making AI. - Katherine Keegan, Tanvi Vishwanath, Yihua Xu:
A Tensor SVD-based Classification Algorithm Applied to fMRI Data. - Sandra Alves, Jorge Iglésias:
A Graphical Framework for the Category-Based Metamodel for Access Control and Obligations. - Sahitya Yarragolla, Torben Hemke, Jan Trieschmann, Finn Zahari, Hermann Kohlstedt, Thomas Mussenbrock:
Stochastic behaviour of an interface-based memristive device. - Yiqing Zhao, Yuan Luo:
Unsupervised Learning to Subphenotype Delirium Patients from Electronic Health Records. - Wen Cheng, Anna L. Mazzucato, Victor Nistor:
Approximate Solutions to Second-Order Parabolic Equations: evolution systems and discretization. - Joseph P. Robinson, Can Qin, Ming Shao, Matthew A. Turk, Rama Chellappa, Yun Fu:
The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces. - Armin Hadzic, Grace M. Hwang, Kechen Zhang, Kevin M. Schultz, Joseph D. Monaco:
Bayesian optimization of distributed neurodynamical controller models for spatial navigation. - Nur Geffen Lan, Michal Geyer, Emmanuel Chemla, Roni Katzir:
Minimum Description Length Recurrent Neural Networks. - M. Humayn Kabir, Khondokar Fida Hasan, Mohammad Kamrul Hasan, Keyvan Ansari:
Explainable Artificial Intelligence for Smart City Application: A Secure and Trusted Platform. - Michael A. Bender, Martin Farach-Colton, John Kuszmaul, William Kuszmaul, Mingmou Liu:
On the Optimal Time/Space Tradeoff for Hash Tables. - Enass Hriba, Matthew C. Valenti, Robert W. Heath Jr.:
Optimization of a Millimeter-Wave UAV-to-Ground Network in Urban Deployments. - Lu Lin, Ethan Blaser, Hongning Wang:
Graph Embedding with Hierarchical Attentive Membership. - Jehanzeb H. Chaudhry, Donald J. Estep, Simon Tavener:
A posteriori error analysis for a space-time parallel discretization of parabolic partial differential equations. - Xiang Lorraine Li, Adhiguna Kuncoro, Cyprien de Masson d'Autume, Phil Blunsom, Aida Nematzadeh:
A Systematic Investigation of Commonsense Understanding in Large Language Models. - Onur Çagirici:
Computational Aspects of Problems on Visibility and Disk Graph Representations. - Anurag Katakkar, Alan W. Black:
Towards Language Modelling in the Speech Domain Using Sub-word Linguistic Units. - Jehad Aldahdooh, ZiaurRehman Tanoli, Jing Tang:
R-BERT-CNN: Drug-target interactions extraction from biomedical literature. - Elias Karabelas, Matthias A. F. Gsell, Gundolf Haase, Gernot Plank, Christoph M. Augustin:
An accurate, robust, and efficient finite element framework for anisotropic, nearly and fully incompressible elasticity. - Jan Jetze Beitler, Ivan Sosnovik, Arnold W. M. Smeulders:
PIE: Pseudo-Invertible Encoder. - Bojian Hou, Hao Zhang, Gur Ladizhinsky, Stephen Yang, Volodymyr Kuleshov, Fei Wang, Qian Yang:
Clinical Evidence Engine: Proof-of-Concept For A Clinical-Domain-Agnostic Decision Support Infrastructure. - Zixia Zhou, Xinrui Zu, Yuanyuan Wang, Boudewijn P. F. Lelieveldt, Qian Tao:
Deep Recursive Embedding for High-Dimensional Data. - Amardeep Singh, Julian Jang-Jaccard:
Intrusion Detection using Spatial-Temporal features based on Riemannian Manifold. - Avijit Shah, Topojoy Biswas, Sathish Ramadoss, Deven Santosh Shah:
Distantly Supervised Semantic Text Detection and Recognition for Broadcast Sports Videos Understanding. - Farhad Farokhi, Alex S. Leong, Mohammad Zamani, Iman Shames:
Safe Learning of Linear Time-Invariant Systems. - Yuanzhi Li, Ruosong Wang, Lin F. Yang:
Settling the Horizon-Dependence of Sample Complexity in Reinforcement Learning. - Pavana Prakash, Jiahao Ding, Maoqiang Wu, Minglei Shu, Rong Yu, Miao Pan:
To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices. - Dinh-Truong Do, Ha-Thanh Nguyen, Thang Ngoc Bui, Hieu Dinh Vo:
VSEC: Transformer-based Model for Vietnamese Spelling Correction. - Yiming Li, Shunli Ren, Pengxiang Wu, Siheng Chen, Chen Feng, Wenjun Zhang:
Learning Distilled Collaboration Graph for Multi-Agent Perception. - Zhengyang Shen, Jean Feydy, Peirong Liu, Ariel Hernán Curiale, Rubén San José Estépar, Raúl San José Estépar, Marc Niethammer:
Accurate Point Cloud Registration with Robust Optimal Transport. - Alexander V. Mamonov, Maxim A. Olshanskii:
Interpolatory tensorial reduced order models for parametric dynamical systems. - Ruichu Cai, Jinjie Yuan, Boyan Xu, Zhifeng Hao:
SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL. - Byungsoo Jeon, Sunghyun Park, Peiyuan Liao, Sheng Xu, Tianqi Chen, Zhihao Jia:
Collage: Automated Integration of Deep Learning Backends. - Lei Sun, Lu Deng:
TriVoC: Efficient Voting-based Consensus Maximization for Robust Point Cloud Registration with Extreme Outlier Ratios. - Ling Chen, Jun Cui, Xing Tang, Chaodu Song, Yuntao Qian, Yansheng Li, Yongjun Zhang:
RMNA: A Neighbor Aggregation-Based Knowledge Graph Representation Learning Model Using Rule Mining. - Yueyuan Ao, Hong Wu:
Feature Aggregation and Refinement Network for 2D AnatomicalLandmark Detection. - Necdet Gurkan, Jordan W. Suchow:
Evaluation of Human and Machine Face Detection using a Novel Distinctive Human Appearance Dataset. - Shuli Jiang, Hai Pham, David P. Woodruff, Qiuyi (Richard) Zhang:
Optimal Sketching for Trace Estimation. - Rongsheng Zhang, Yinhe Zheng, Xiaoxi Mao, Minlie Huang:
Unsupervised Domain Adaptation with Adapter. - David P. Woodruff, Taisuke Yasuda:
Improved Algorithms for Low Rank Approximation from Sparsity. - Aobo Yang, Nan Wang, Renqin Cai, Hongbo Deng, Hongning Wang:
Comparative Explanations of Recommendations. - Lucas M. de Oliveira, Robert M. Oliveira, Rodrigo C. de Lamare:
Decoding of Polar Codes Based on Q-Learning-Driven Belief Propagation. - Zhixing Du, Rui Zhang, Ming Chang, Xishan Zhang, Shaoli Liu, Tianshi Chen, Yunji Chen:
Distilling Object Detectors with Feature Richness. - Mihalis Gongolidis, Jeremy Minton, Ronin Wu, Valentin Stauber, Jason Hoelscher-Obermaier, Viktor Botev:
Domain-adaptation of spherical embeddings. - Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu, Liang Wang:
Latent Structures Mining with Contrastive Modality Fusion for Multimedia Recommendation. - Zhe Zhou, Cong Li, Xuechao Wei, Guangyu Sun:
GCNear: A Hybrid Architecture for Efficient GCN Training with Near-Memory Processing. - Lu Lin, Ethan Blaser, Hongning Wang:
Graph Structural Attack by Spectral Distance. - Fanxu Meng, Hao Cheng, Jiaxin Zhuang, Ke Li, Xing Sun:
RMNet: Equivalently Removing Residual Connection from Networks. - Ming Zhan, Zhibo Pang, Kan Yu, Jing Xu, Fang Wu:
Noise Error Pattern Generation Based on Successive Addition-Subtraction for Guessing Decoding. - Yun Fei, Yuhan Huang, Ming Gao:
Principles towards Real-Time Simulation of Material Point Method on Modern GPUs. - Yichen Wang, Richard Han, Tamara Lehman, Qin Lv, Shivakant Mishra:
Analyzing Behavioral Changes of Twitter Users After Exposure to Misinformation. - Wei-Jen Ko, Cutter Dalton, Mark Simmons, Eliza Fisher, Greg Durrett, Junyi Jessy Li:
Discourse Comprehension: A Question Answering Framework to Represent Sentence Connections. - Vedangi Wagh, Snehal Ishwar Khandve, Isha Joshi, Apurva Dinesh Wani, Geetanjali Kale, Raviraj Joshi:
Comparative Study of Long Document Classification. - Camelia Simoiu, Wilson D. Nguyen, Zakir Durumeric:
An Empirical Analysis of HTTPS Configuration Security. - Mojtaba Heydari, Matthew C. McCallum, Andreas F. Ehmann, Zhiyao Duan:
A Novel 1D State Space for Efficient Music Rhythmic Analysis. - Yujia Wang, Lu Lin, Jinghui Chen:
Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization. - Phan The Duy, Hien Do Hoang, Do Thi Thu Hien, Anh Gia-Tuan Nguyen, Van-Hau Pham:
B-DAC: A Decentralized Access Control Framework on Northbound Interface for Securing SDN Using Blockchain. - Darya Kaviani, Niloufar Salehi:
Bridging Action Frames: Instagram Infographics in U.S.Ethnic Movements. - Sunghwa Lee, Euiho Kim, Jiwon Seo:
SFOL DME Pulse Shaping Through Digital Predistortion for High-Accuracy DME. - Janardhan Kulkarni, Yang P. Liu, Ashwin Sah, Mehtaab Sawhney, Jakub Tarnawski:
Online Edge Coloring via Tree Recurrences and Correlation Decay. - Tetsu Kasanishi, Xueting Wang, Toshihiko Yamasaki:
Edge-Level Explanations for Graph Neural Networks by Extending Explainability Methods for Convolutional Neural Networks. - Xing Wang, Juan Zhao, Lin Zhu, Xu Zhou, Zhao Li, Junlan Feng, Chao Deng, Yong Zhang:
Adaptive Multi-receptive Field Spatial-Temporal Graph Convolutional Network for Traffic Forecasting. - Zi Jian Yew, Gim Hee Lee:
Learning Iterative Robust Transformation Synchronization. - Yongrui Chen, Huiying Li, Guilin Qi, Tianxing Wu, Tenggou Wang:
Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge Graph. - Hoyoung Kim, Seunghyuk Cho, Dongwoo Kim, Jungseul Ok:
Robust Deep Learning from Crowds with Belief Propagation. - Yiling Jia, Hongning Wang:
Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank. - Na Zhao, Zhen Long, Zhi-Dan Zhao, Jian Wang:
URIR: Recommendation algorithm of user RNN encoder and item encoder based on knowledge graph. - Weiran Huang, Mingyang Yi, Xuyang Zhao:
Towards the Generalization of Contrastive Self-Supervised Learning. - Haoji Liu, Weichao Zhuang, Guodong Yin, Rongcan Li, Chang Liu, Shanxing Zhou:
Decentralized On-Ramp Merging Control of Connected and Automated Vehicles in the Mixed Traffic Using Control Barrier Functions. - Hua-Liang Wei, S. A. Billings:
Quasi-Linear Transfer Function: A New Method for Frequency Domain Analysis of Nonlinear Systems. - Chao Dong, Qi Ye, Wenchao Meng, Kaixiang Yang:
Few-shot learning with improved local representations via bias rectify module. - Fateme Dehrouye-Semnani, Nasrollah Moghadam Charkari, Seyed Mohammad Mehdi Mirbagheri:
Toward an improved BCI for damaged CNS-tissue patient using EEG-signal processing approach. - Seyed Omid Mohammadi, Hossein Bodaghi, Ahmad Kalhor:
Single-Item Fashion Recommender: Towards Cross-Domain Recommendations. - Yusheng Wang, Weiwei Song, Yi Zhang, Fei Huang, Zhiyong Tu, Yidong Lou:
MetroLoc: Metro Vehicle Mapping and Localization with LiDAR-Camera-Inertial Integration. - Yu Rong, Jingbo Wang, Ziwei Liu, Chen Change Loy:
Monocular 3D Reconstruction of Interacting Hands via Collision-Aware Factorized Refinements. - Gal Leibovich, Guy Jacob, Shadi Endrawis, Gal Novik, Aviv Tamar:
Validate on Sim, Detect on Real - Model Selection for Domain Randomization. - Sugyeong Eo, Chanjun Park, Jaehyung Seo, Hyeonseok Moon, Heuiseok Lim:
A New Tool for Efficiently Generating Quality Estimation Datasets. - Yung-Hsu Yang, Thomas E. Huang, Samuel Rota Bulò, Peter Kontschieder, Fisher Yu:
Dense Prediction with Attentive Feature Aggregation. - Hongfu Yang:
First order strong convergence and extinction of positivity preserving logarithmic truncated Euler-Maruyama method for the stochastic SIS epidemic model. - Alexandros Stergiou, Ronald Poppe:
AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling. - Alexander M. Romanov:
On the number of q-ary quasi-perfect codes with covering radius 2. - Shengyu Wei, Ruoyu Guo, Cheng Cui, Bin Lu, Shuilong Dong, Tingquan Gao, Yuning Du, Ying Zhou, Xueying Lyu, Qiwen Liu, Xiaoguang Hu, Dianhai Yu, Yanjun Ma:
PP-ShiTu: A Practical Lightweight Image Recognition System. - Lantao Yu, Jiaming Song, Yang Song, Stefano Ermon:
Pseudo-Spherical Contrastive Divergence. - Hsu Kao, Chen-Yu Wei, Vijay G. Subramanian:
Decentralized Cooperative Reinforcement Learning with Hierarchical Information Structure. - Ramya Bygari, Aayush Gupta, Shashwat Raghuvanshi, Aakanksha Bapna, Birendra Sahu:
An AI-powered Smart Routing Solution for Payment Systems. - Yu Liu, Jingtao Ding, Yong Li:
Knowledge-driven Site Selection via Urban Knowledge Graph. - Letian Wang, Yeping Hu, Liting Sun, Wei Zhan, Masayoshi Tomizuka, Changliu Liu:
Hierarchical Adaptable and Transferable Networks (HATN) for Driving Behavior Prediction. - Russell Buchanan, Marco Camurri, Frank Dellaert, Maurice F. Fallon:
Learning Inertial Odometry for Dynamic Legged Robot State Estimation. - Ali Safa, Hichem Sahli, André Bourdoux, Ilja Ocket, Francky Catthoor, Georges G. E. Gielen:
Learning Event-based Spatio-Temporal Feature Descriptors via Local Synaptic Plasticity: A Biologically-realistic Perspective of Computer Vision. - Da Chen, Jean-Marie Mirebeau, Minglei Shu, Xuecheng Tai, Laurent D. Cohen:
Geodesic Models with Convexity Shape Prior. - Luisa Greifenstein, Isabella Graßl, Gordon Fraser:
Challenging but Full of Opportunities: Teachers' Perspectives on Programming in Primary Schools. - Bhavesh Tangirala, Ishan Bhandari, Dániel László, Deepak K. Gupta, Rajat Mani Thomas, Devanshu Arya:
Livestock Monitoring with Transformer. - Mukta Debnath, Animesh Basak Chowdhury, Debasri Saha, Susmita Sur-Kolay:
FuCE: Fuzzing+Concolic Execution guided Trojan Detection in Synthesizable Hardware Designs. - Sharid Loáiciga, Luca Bevacqua, Christian Hardmeier:
Unsupervised Discovery of Unaccusative and Unergative Verbs. - Tamás Spisák:
Statistical quantification of confounding bias in predictive modelling. - Özgür Akgün, Alan M. Frisch, Ian P. Gent, Christopher Jefferson, Ian Miguel, Peter Nightingale, András Z. Salamon:
Towards Reformulating Essence Specifications for Robustness. - Tailin Chen, Shidong Wang, Desen Zhou, Yu Guan:
LSTA-Net: Long short-term Spatio-Temporal Aggregation Network for Skeleton-based Action Recognition. - Michel Wijkstra, Timo Lek, Tobias Kuhn, Kasper Welbers, Mickey Steijaert:
Living Literature Reviews. - Ana Lucic, Maurits J. R. Bleeker, Sami Jullien, Samarth Bhargav, Maarten de Rijke:
Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence through the Lens of Reproducibility. - Ridewaan Hanslo:
Deep Learning Transformer Architecture for Named Entity Recognition on Low Resourced Languages: State of the art results. - Robin A. Richardson, Remzi Celebi, Sven van der Burg, Djura Smits, Lars Ridder, Michel Dumontier, Tobias Kuhn:
User-friendly Composition of FAIR Workflows in a Notebook Environment. - Minhong Chen, Wei Dou, Shenggao Zhou:
Fast Newton Iterative Method for Local Steric Poisson-Boltzmann Theories in Biomolecular Solvation. - Max Zimmer, Christoph Spiegel, Sebastian Pokutta:
How I Learned to Stop Worrying and Love Retraining. - Hsin-Wei Wang, Bi-Cheng Yan, Hsuan-Sheng Chiu, Yung-Chang Hsu, Berlin Chen:
Exploring Non-Autoregressive End-To-End Neural Modeling For English Mispronunciation Detection And Diagnosis. - Xiaoxin He, Fuzhao Xue, Xiaozhe Ren, Yang You:
Large-Scale Deep Learning Optimizations: A Comprehensive Survey. - Alexander Shen:
Individual codewords. - Shishira R. Maiya, Max Ehrlich, Vatsal Agarwal, Ser-Nam Lim, Tom Goldstein, Abhinav Shrivastava:
A Frequency Perspective of Adversarial Robustness. - Eddy Keming Chen, Daniel Rubio:
Surreal Decisions. - Jinming Zhao, Ruichen Li, Qin Jin, Xinchao Wang, Haizhou Li:
MEmoBERT: Pre-training Model with Prompt-based Learning for Multimodal Emotion Recognition. - Nicholas Asher, Julie Hunter:
Interpretive Blindness. - Frédéric Berthommier:
A mathematical model of the vowel space. - He Li, Shiyu Zhang, Xuejiao Li, Liangcai Su, Hongjie Huang, Duo Jin, Linghao Chen, Jianbin Huang, Jaesoo Yoo:
DetectorNet: Transformer-enhanced Spatial Temporal Graph Neural Network for Traffic Prediction. - Nayan Saxena, Pan Chen, Emmy Liu:
Statistical Consequences of Dueling Bandits. - Xiaoxian Guo, Xiantao Zhang, Xinliang Tian, Wenyue Lu, Xin Li:
Probabilistic prediction of the heave motions of a semi-submersible by a deep learning problem model. - Taotao Zhou, Enrique López Droguett, Ali Mosleh, Felix T. S. Chan:
An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applications. - Cédric Beaulac:
A moment-matching metric for latent variable generative models. - David Abel, Will Dabney, Anna Harutyunyan, Mark K. Ho, Michael L. Littman, Doina Precup, Satinder Singh:
On the Expressivity of Markov Reward. - Minghui Chen, Zhiqiang Wang, Feng Zheng:
Benchmarks for Corruption Invariant Person Re-identification. - Vahid Mohammadi Safarzadeh, Hamed Ghasr Loghmani:
Artificial Intelligence in the Low-Level Realm - A Survey. - Pan Yang, Xin Cong, Zhenyu Sun, Xingwu Liu:
Enhanced Language Representation with Label Knowledge for Span Extraction. - Péter L. Erdös, Tamás Róbert Mezei, Yiding Yu, Xiang Chen, Wei Han, Bo Bai:
Algorithms for Interference Minimization in Future Wireless Network Decomposition. - Rahul Madhavan, Aurghya Maiti, Gaurav Sinha, Siddharth Barman:
Intervention Efficient Algorithm for Two-Stage Causal MDPs. - Dominic Liao-McPherson, Efe C. Balta, Ryan Wüest, Alisa Rupenyan, John Lygeros:
In-layer Thermal Control of a Multi-layer Selective Laser Melting Process. - Long He, Dandan Song, Liang Zheng:
Hierarchical Image Classification with A Literally Toy Dataset. - Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu:
Indiscriminate Poisoning Attacks Are Shortcuts. - Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic:
Equivariant Contrastive Learning. - Baha Eddine Youcef Belmekki, Mohamed-Slim Alouini:
On the Usage of Networked Tethered Flying Platforms for Massive Events - Case Study: Hajj Pilgrimage. - Yun-Wei Chu, Elizabeth Tenorio, Laura Melissa Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton:
Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach. - Guanghua Yu, Qinyao Chang, Wenyu Lv, Chang Xu, Cheng Cui, Wei Ji, Qingqing Dang, Kaipeng Deng, Guanzhong Wang, Yuning Du, Baohua Lai, Qiwen Liu, Xiaoguang Hu, Dianhai Yu, Yanjun Ma:
PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices. - Vitaly Vanchurin:
Towards a theory of quantum gravity from neural networks. - Seyed Omid Mohammadi, Ahmad Kalhor:
Smart Fashion: A Review of AI Applications in the Fashion & Apparel Industry. - Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne:
Multi-Attribute Balanced Sampling for Disentangled GAN Controls. - Clementa Alonso-González, Miguel Ángel Navarro-Pérez, Xaro Soler-Escrivà:
Flag Codes: Distance Vectors and Cardinality Bounds. - Gregory J. Hunt, Cody R. Ground, Andrew D. Cutler:
Adaptive Modeling Powers Fast Multi-parameter Fitting of CARS Spectra. - Kostadin Cvejoski, Jannis Schuecker, Anne-Katrin Mahlein, Bogdan Georgiev:
Combining expert knowledge and neural networks to model environmental stresses in agriculture. - Gaurav Jaswal, Aman Verma, Sumantra Dutta Roy, Raghavendra Ramachandra:
DFCANet: Dense Feature Calibration-Attention Guided Network for Cross Domain Iris Presentation Attack Detection. - Zongtao Liu, Bin Ma, Quan Liu, Jian Xu, Bo Zheng:
Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching. - Zhenyu Wang, Yali Li, Ye Guo, Shengjin Wang:
Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification. - Cong Geng, Jia Wang, Zhiyong Gao, Jes Frellsen, Søren Hauberg:
Bounds all around: training energy-based models with bidirectional bounds. - Diankun Zhang, Zhijie Zheng, Xueting Bi, Xiaojun Liu:
Structure Information is the Key: Self-Attention RoI Feature Extractor in 3D Object Detection. - Sebastian Werner, Stefan Tai:
Application-Platform Co-Design for Serverless Data Processing. - Zijian Hu, William H. K. Lam, Sze Chun Wong, Andy H. F. Chow, Wei Ma:
Turning Traffic Monitoring Cameras into Intelligent Sensors for Traffic Density Estimation. - Tao Wen, Beibei Wang, Lei Zhang, Jie Guo, Nicolas Holzschuch:
SVBRDF Recovery From a Single Image With Highlights using a Pretrained Generative Adversarial Network. - Zhiwu Zheng, Prakhar Kumar, Yenan Chen, Hsin Cheng, Sigurd Wagner, Minjie Chen, Naveen Verma, James C. Sturm:
Piezoelectric Soft Robot Inchworm Motion by Controlling Ground Friction through Robot Shape. - Nacime Bouziani, David A. Ham:
Escaping the abstraction: a foreign function interface for the Unified Form Language [UFL]. - Korney Tomashchuk:
Methods for the Numerical Analysis of Boundary Value Problem of Partial Differential Equations Based on Kolmogorov Superposition Theorem. - Saul Fuster, Trygve Eftestøl, Kjersti Engan:
Nested Multiple Instance Learning with Attention Mechanisms. - Jianning Quan, A. Ben Hamza:
Higher-Order Implicit Fairing Networks for 3D Human Pose Estimation. - Fabio Muratore, Fabio Ramos, Greg Turk, Wenhao Yu, Michael Gienger, Jan Peters:
Robot Learning from Randomized Simulations: A Review. - Piotr Gramacki, Szymon Wozniak, Piotr Szymanski:
gtfs2vec - Learning GTFS Embeddings for comparing Public Transport Offer in Microregions. - Shengyuan Xu, Wenxiao Zhao, Jing Guo:
RefineGAN: Universally Generating Waveform Better than Ground Truth with Highly Accurate Pitch and Intensity Responses. - Chace Ashcraft, Kiran Karra:
Machine Learning aided Crop Yield Optimization. - Shifeng Zhang, Ning Kang, Tom Ryder, Zhenguo Li:
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder. - Chia-Hung Wang, Hsueh-Wei Chen, Li-Chen Fu:
VPFNet: Voxel-Pixel Fusion Network for Multi-class 3D Object Detection. - Hallvar Haugdal, Kjetil Uhlen, Hjörtur Jóhannsson:
Achieving increased Phasor POD performance by introducing a Control-Input Model. - Xudong Xu, Xingang Pan, Dahua Lin, Bo Dai:
Generative Occupancy Fields for 3D Surface-Aware Image Synthesis. - Szymon Wozniak, Piotr Szymanski:
Hex2vec - Context-Aware Embedding H3 Hexagons with OpenStreetMap Tags. - Yushi Hirose, Masashi Shimbo, Taro Watanabe:
Transductive Data Augmentation with Relational Path Rule Mining for Knowledge Graph Embedding. - Marcelo Sancinetti, Jazmín Vidal, Cyntia Bonomi, Luciana Ferrer:
A transfer learning based approach for pronunciation scoring. - Gan Tong, Libo Huang:
Fast Convolution based on Winograd Minimum Filtering: Introduction and Development. - Shitu Zhang, Zhixun Zhu, Yang Li:
A critical review of data-driven transient stability assessment of power systems: principles, prospects and challenges. - Saurabh Garg, Yifan Wu, Alex Smola, Sivaraman Balakrishnan, Zachary C. Lipton:
Mixture Proportion Estimation and PU Learning: A Modern Approach. - Teodor Tita, Arkaitz Zubiaga:
Cross-lingual Hate Speech Detection using Transformer Models. - Shaojie Tang, Jing Yuan:
Partial-Adaptive Submodular Maximization. - Kamil Raczycki, Piotr Szymanski:
Transfer Learning Approach to Bicycle-sharing Systems' Station Location Planning using OpenStreetMap Data. - Jianing Qiu, Lipeng Chen, Xiao Gu, Frank Po Wen Lo, Ya-Yen Tsai, Jiankai Sun, Jiaqi Liu, Benny Lo:
Egocentric Human Trajectory Forecasting with a Wearable Camera and Multi-Modal Fusion. - Steven Kolawole, Opeyemi Osakuade, Nayan Saxena, Babatunde Kazeem Olorisade:
Sign-to-Speech Model for Sign Language Understanding: A Case Study of Nigerian Sign Language. - Robert Stephany, Christopher J. Earls:
PDE-READ: Human-readable Partial Differential Equation Discovery using Deep Learning. - Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang:
Improving Contrastive Learning on Imbalanced Seed Data via Open-World Sampling. - Axel Sauer, Kashyap Chitta, Jens Müller, Andreas Geiger:
Projected GANs Converge Faster. - Filipe de Avila Belbute-Peres, Yi-Fan Chen, Fei Sha:
HyperPINN: Learning parameterized differential equations with physics-informed hypernetworks. - Chang Liu, Chen Gao, Depeng Jin, Yong Li:
Improving Location Recommendation with Urban Knowledge Graph. - Lorenzo Piazzo, Michele Scarpiniti, Enzo Baccarelli:
Gomoku: analysis of the game and of the player Wine. - Eryk Kopczynski, Dorota Celinska-Kopczynska:
Dynamic Distances in Hyperbolic Graphs. - Zhongwang Zhang, Hanxu Zhou, Zhi-Qin John Xu:
A variance principle explains why dropout finds flatter minima. - Ruijie Jiang, Julia Gouvea, Eric L. Miller, David Hammer, Shuchin Aeron:
Interpretable contrastive word mover's embedding. - Evangelos Kazakos, Jaesung Huh, Arsha Nagrani, Andrew Zisserman, Dima Damen:
With a Little Help from my Temporal Context: Multimodal Egocentric Action Recognition. - Yulei Niu, Hanwang Zhang:
Introspective Distillation for Robust Question Answering. - Andrey Gorbunov, Jimmy Chih-Hsien Peng, Janusz W. Bialek, Petr Vorobev:
Identification of Stability Regions in Inverter-Based Microgrids. - Hsuan-I Ho, Xu Chen, Jie Song, Otmar Hilliges:
Render In-between: Motion Guided Video Synthesis for Action Interpolation. - Si-An Chen, Chun-Liang Li, Hsuan-Tien Lin:
A Unified View of cGANs with and without Classifiers. - Bernd Hofmann, Peter Mathé:
The degree of ill-posedness of composite linear ill-posed problems with focus on the impact of the non-compact Hausdorff moment operator. - Manolis Pitsikalis, Thanh-Toan Do, Alexei Lisitsa, Shan Luo:
Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification. - Safa C. Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua B. Tenenbaum, Xiaoming Liu, Tim K. Marks:
MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation. - Michael McCabe, Jed Brown:
Learning to Assimilate in Chaotic Dynamical Systems. - Jeremiah Blocki, Kuan Cheng, Elena Grigorescu, Xin Li, Yu Zheng, Minshen Zhu:
Exponential Lower Bounds for Locally Decodable and Correctable Codes for Insertions and Deletions. - Jia-Heng Tang, Weikai Chen, Jie Yang, Bo Wang, Songrun Liu, Bo Yang, Lin Gao:
OctField: Hierarchical Implicit Functions for 3D Modeling. - Ankush Ojha, Marichi Agarwal, Aniruddha Singhal, Chayan Sarkar, Supratim Ghosh, Rajesh Sinha:
A generalized algorithm and framework for online 3-dimensional bin packing in an automated sorting center. - Johannes Kromer, Dieter Bothe:
Third-order accurate initialization of VOF volume fractions on unstructured meshes with arbitrary polyhedral cells. - Manupriya Gupta, Pavas Goyal, Rohit Verma, Rajeev Shorey, Huzur Saran:
FedFm: Towards a Robust Federated Learning Approach For Fault Mitigation at the Edge Nodes. - Ishan Prakash, Aniruddh Bansal, Rohit Verma, Rajeev Shorey:
SmartSplit: Latency-Energy-Memory Optimisation for CNN Splitting on Smartphone Environment. - Dahoon Park, Kon-Woo Kwon, Sunghoon Im, Jaeha Kung:
ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack. - Hao Zhu, Haotian Yang, Longwei Guo, Yidi Zhang, Yanru Wang, Mingkai Huang, Qiu Shen, Ruigang Yang, Xun Cao:
FaceScape: 3D Facial Dataset and Benchmark for Single-View 3D Face Reconstruction. - Ruqi Pei, Travis Askham, Leslie Greengard, Shidong Jiang:
Periodic Fast Multipole Method. - Stefanie Scherzinger, Andreas Thor:
AutoShard - Declaratively Managing Hot Spot Data Objects in NoSQL Document Stores. - Tohid Rahimi, Hossein Khoun Jahan, Armin Abadifard, Mohsen Akbari, Pedram Ghavidel, Masoud Farhadi, Seyed Hossein Hosseini:
Fault-Tolerant Performance Enhancement of DC-DC Converters with High-Speed Fault Clearing-unit based Redundant Power Switch Configurations. - Gradimir V. Milovanovic:
On the Markov extremal problem in the L2-norm with the classical weight functions. - Md. Rafiqul Islam Rabin, Mohammad Amin Alipour:
Encoding Program as Image: Evaluating Visual Representation of Source Code. - Ken Ming Lee, Sriram Ganapathi Subramanian, Mark Crowley:
Investigation of Independent Reinforcement Learning Algorithms in Multi-Agent Environments. - Wenqi Cui, Weiwei Yang, Baosen Zhang:
Predicting Power System Dynamics and Transients: A Frequency Domain Approach. - Rishik Mishra, Neeraj Gupta, Nitya Shukla:
FREGAN : an application of generative adversarial networks in enhancing the frame rate of videos. - Ahmed M. Abdelmoniem, Atal Narayan Sahu, Marco Canini, Suhaib A. Fahmy:
Resource-Efficient Federated Learning. - Minguk Kang, Woohyeon Shim, Minsu Cho, Jaesik Park:
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training. - Fernando A. Delgado, Stephen Yang, Michael Madaio, Qian Yang:
Stakeholder Participation in AI: Beyond "Add Diverse Stakeholders and Stir". - Lijie Fan, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Chuang Gan:
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? - Zheng Chen, Lantao Liu:
NSS-VAEs: Generative Scene Decomposition for Visual Navigable Space Construction. - Ganesh Krishnan, Heike Hofmann:
Hierarchical Decision Ensembles- An inferential framework for uncertain Human-AI collaboration in forensic examinations. - Weixin Xu, Zipeng Feng, Shuangkang Fang, Song Yuan, Yi Yang, Shuchang Zhou:
Arch-Net: Model Distillation for Architecture Agnostic Model Deployment. - Salah A. Aly, Abdelrahman Salah, Hesham M. Eraqi:
ASMDD: Arabic Speech Mispronunciation Detection Dataset. - Soham Dan, Phanideep Gampa, Anirbit Mukherjee:
Investigating the locality of neural network training dynamics. - Tianshi Cao, Alex Bie, Arash Vahdat, Sanja Fidler, Karsten Kreis:
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence. - Carsten Carstensen, Ngoc Tien Tran:
Convergent adaptive hybrid higher-order schemes for convex minimization. - Aryan Deshwal, Janardhan Rao Doppa:
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces. - Supriya Nagesh, Alexander Moreno, Stephanie Marita Carpenter, Jamie Yap, Soujanya Chatterjee, Steven Lloyd Lizotte, Neng Wan, Santosh Kumar, Cho Lam, David W. Wetter, Inbal Nahum-Shani, James M. Rehg:
Transformers for prompt-level EMA non-response prediction. - Stine Fleischer Myhre, Olav Bjarte Fosso, Poul Einar Heegaard, Oddbjørn Gjerde:
A Tool for Reliability Assessment of Smart and Active Distribution Systems - RELSAD. - Timothy M. Chan, Qizheng He, Subhash Suri, Jie Xue:
Dynamic Geometric Set Cover, Revisited. - Reilly Raab, Yang Liu:
Unintended Selection: Persistent Qualification Rate Disparities and Interventions. - Bingqian Lu, Jianyi Yang, Weiwen Jiang, Yiyu Shi, Shaolei Ren:
One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search. - Soham Tiwari, Kshitiz Lakhotia, Manjunath Mulimani:
Evaluating robustness of You Only Hear Once(YOHO) Algorithm on noisy audios in the VOICe Dataset. - Hao Ni, Lukasz Szpruch, Marc Sabate Vidales, Baoren Xiao, Magnus Wiese, Shujian Liao:
Sig-Wasserstein GANs for Time Series Generation. - Margot J. Hanley, Shiri Azenkot:
Understanding the Use of Voice Assistants by Older Adults. - Xinmiao Lin, Wentao Bao, Matthew K. Wright, Yu Kong:
Gradient Frequency Modulation for Visually Explaining Video Understanding Models. - Joann Ching, Yi-Hsuan Yang:
Learning To Generate Piano Music With Sustain Pedals. - Lenin Leines-Vite, Juan Carlos Pérez Arriaga, Xavier Limón:
Confidentiality and Integrity Mechanisms for Microservices Communication. - Houssem Sifaou, Geoffrey Ye Li:
Robust Federated Learning via Over-The-Air Computation. - Alexander Moreno, Supriya Nagesh, Zhenke Wu, Walter H. Dempsey, James M. Rehg:
Kernel Deformed Exponential Families for Sparse Continuous Attention. - Adrian Ahne, Vivek Khetan, Xavier Tannier, Md Imbesat Hassan Rizvi, Thomas Czernichow, Francisco Orchard, Charline Bour, Andrew E. Fano, Guy Fagherazzi:
Identifying causal associations in tweets using deep learning: Use case on diabetes-related tweets from 2017-2021. - Trager Joswig-Jones, Kyri Baker, Ahmed S. Zamzam:
OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets. - Rinat Aynulin:
Impact of network topology on efficiency of proximity measures for community detection. - Parul Chopra, Sai Krishna Rallabandi, Alan W. Black, Khyathi Raghavi Chandu:
Switch Point biased Self-Training: Re-purposing Pretrained Models for Code-Switching. - Cem Gormezano, Jean-Christophe Nave, Andy T. S. Wan:
Conservative Integrators for Vortex Blob Methods. - Prateek Yadav, Peter Hase, Mohit Bansal:
Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions. - Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan:
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. - Bonan Min, Hayley Ross, Elior Sulem, Amir Pouran Ben Veyseh, Thien Huu Nguyen, Oscar Sainz, Eneko Agirre, Ilana Heintz, Dan Roth:
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey. - Eugene Valassakis, Kamil Dreczkowski, Edward Johns:
Learning Eye-in-Hand Camera Calibration from a Single Image. - Xueqian Li, Jhony Kaesemodel Pontes, Simon Lucey:
Neural Scene Flow Prior. - Jimmy T. H. Smith, Scott W. Linderman, David Sussillo:
Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems. - Jossekin Beilharz, Bjarne Pfitzner, Robert Schmid, Paul Geppert, Bert Arnrich, Andreas Polze:
Implicit Model Specialization through DAG-based Decentralized Federated Learning. - Changhao Wang, Zhian Kuang, Xiang Zhang, Masayoshi Tomizuka:
Safe Online Gain Optimization for Variable Impedance Control. - Miel Sharf, Bart Besselink, Karl Henrik Johansson:
Verifying Contracts for Perturbed Control Systems using Linear Programming. - Hannah Halin Kim, Shuzhi Yu, Carlo Tomasi:
Joint Detection of Motion Boundaries and Occlusions. - Mohammed Alharthi, Sanaa H. Mohamed, Barzan A. Yosuf, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Optimized Passive Optical Networks with Cascaded-AWGRs for Data Centers. - Brett Daley, Christopher Amato:
Human-Level Control without Server-Grade Hardware. - Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis:
Brain dynamics via Cumulative Auto-Regressive Self-Attention. - Niko Moritz, Takaaki Hori, Shinji Watanabe, Jonathan Le Roux:
Sequence Transduction with Graph-based Supervision. - Madeline Navarro, Genevera I. Allen, Michael Weylandt:
Network Clustering for Latent State and Changepoint Detection. - Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis:
Multi network InfoMax: A pre-training method involving graph convolutional networks. - Zuzhao Ye, Yuanqi Gao, Nanpeng Yu:
Learning to Operate an Electric Vehicle Charging Station Considering Vehicle-grid Integration. - David I. Spivak, Timothy Hosgood:
Deep neural networks as nested dynamical systems. - Valentin Gabeur, Arsha Nagrani, Chen Sun, Karteek Alahari, Cordelia Schmid:
Masking Modalities for Cross-modal Video Retrieval. - Skylar X. Wei, Peder Harderup, Joel Burdick:
Differential Flatness and Flatness Inspired Control of Aerial Manipulators based on Lagrangian Reduction. - Eren Kurshan, Jiahao Chen, Victor Storchan, Hongda Shen:
On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services. - Jared Mejia, Alex Devonport, Murat Arcak:
DaDRA: A Python Library for Data-Driven Reachability Analysis. - Razieh Rahimi, Youngwoo Kim, Hamed Zamani, James Allan:
Explaining Documents' Relevance to Search Queries. - Oscar P. Bruno, Jan S. Hesthaven, Daniel V. Leibovici:
FC-based shock-dynamics solver with neural-network localized artificial-viscosity assignment. - Ralucca Gera, Akrati Saxena, D'Marie Bartolf, Simona Tick:
A Network Science Perspective to Personalized Learning. - Trapit Bansal, Karthick Gunasekaran, Tong Wang, Tsendsuren Munkhdalai, Andrew McCallum:
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP. - Yuxi Li, Ning Xu, Wenjie Yang, John See, Weiyao Lin:
Exploring the Semi-supervised Video Object Segmentation Problem from a Cyclic Perspective. - Veeru Talreja, Nasser M. Nasrabadi, Matthew C. Valenti:
Attribute-Based Deep Periocular Recognition: Leveraging Soft Biometrics to Improve Periocular Recognition. - Xiu-Xiu Zhan, Chuang Liu, Zhipeng Wang, Huijuan Wang, Petter Holme, Zi-Ke Zhang:
Measuring and utilizing temporal network dissimilarity. - Aakanksha Naik, Jill Lehman, Carolyn P. Rosé:
Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research for Language Understanding Tasks. - Guergana Petrova, Przemyslaw Wojtaszczyk:
Lipschitz widths. - Teng Gao, Jian Zhou, Huabin Wang, Liang Tao, Hon Keung Kwan:
Attention-Guided Generative Adversarial Network for Whisper to Normal Speech Conversion. - Shanda Li, Xiangning Chen, Di He, Cho-Jui Hsieh:
Can Vision Transformers Perform Convolution? - Siddhartha Gairola, Murtuza Bohra, Nadeem Shaheer, Navya Jayaprakash, Pallavi Joshi, Anand Balasubramaniam, Kaushik Murali, Nipun Kwatra, Mohit Jain:
SmartKC: Smartphone-based Corneal Topographer for Keratoconus Detection. - Yiming Xu, Mudit Paliwal, Xilei Zhao:
Real-time Forecasting of Dockless Scooter-Sharing Demand: A Context-Aware Spatio-Temporal Multi-Graph Convolutional Network Approach. - Zhongjian Wang, Jack Xin, Zhiwen Zhang:
DeepParticle: learning invariant measure by a deep neural network minimizing Wasserstein distance on data generated from an interacting particle method. - Satyan L. Devadoss, Matthew S. Harvey:
Unfoldings and Nets of Regular Polytopes. - Rishav Chourasia, Batnyam Enkhtaivan, Kunihiro Ito, Junki Mori, Isamu Teranishi, Hikaru Tsuchida:
Knowledge Cross-Distillation for Membership Privacy. - Juncheng Liu, Brendan McCane, Steven Mills:
Learning to Explore by Reinforcement over High-Level Options. - Matthias Weissenbacher, Samarth Sinha, Animesh Garg, Yoshinobu Kawahara:
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics. - Liao Qu, Shuaiqi Huang, Yunsong Jia, Xiang Li:
Improved Loss Function-Based Prediction Method of Extreme Temperatures in Greenhouses. - Michihiro Shintani, Riaz-ul-haque Mian, Tomoki Nakamura, Masuo Kajiyama, Makoto Eiki, Michiko Inoue:
Wafer-level Variation Modeling for Multi-site RF IC Testing via Hierarchical Gaussian Process. - Fahao Chen, Peng Li, Toshiaki Miyazaki, Celimuge Wu:
FedGraph: Federated Graph Learning with Intelligent Sampling. - Fan Li, Xiaoheng Zhang, Pin Wang, Yongming Li:
Envelope Imbalance Learning Algorithm based on Multilayer Fuzzy C-means Clustering and Minimum Interlayer discrepancy. - H. J. Terry Suh, Naveen Kuppuswamy, Tao Pang, Paul Mitiguy, Alex Alspach, Russ Tedrake:
SEED: Series Elastic End Effectors in 6D for Visuotactile Tool Use. - Simon Apers, Pawel Gawrychowski, Troy Lee:
Finding the KT partition of a weighted graph in near-linear time. - Poornima Mahadevappa, Syeda Mariam Muzammal, Raja Kumar Murugesan:
A Comparative Analysis of Machine Learning Algorithms for Intrusion Detection in Edge-Enabled IoT Networks. - Daria Reshetova, Yikun Bai, Xiugang Wu, Ayfer Özgür:
Understanding Entropic Regularization in GANs. - Chung Min Kim, Michael Danielczuk, Isabella Huang, Ken Goldberg:
Simulation of Parallel-Jaw Grasping using Incremental Potential Contact Models. - Huan Qing:
Overlapping and nonoverlapping models. - Kyongsik Yun, Rishi Verma, Umaa Rebbapragada:
Time Series Comparisons in Deep Space Network. - Xiang Huang, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Bingya Weng, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Lei Chen, Bin Dong:
Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks. - Yujia Huang, Huan Zhang, Yuanyuan Shi, J. Zico Kolter, Anima Anandkumar:
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds. - Haoran Zhou, Hang Huang, Rui Zhao, Wei Wang, Qingguo Zhou:
Boundary Distribution Estimation to Precise Object Detection. - Hongru Wang, Huimin Wang, Zezhong Wang, Kam-Fai Wong:
Integrating Pretrained Language Model for Dialogue Policy Learning. - Johanna Schmidhuber, Stephan Schlögl, Christian Ploder:
Cognitive Load and Productivity Implications in Human-Chatbot Interaction. - Mohammadreza Hazhirpasand, Oscar Nierstrasz, Mohammad Ghafari:
Dazed and Confused: What's Wrong with Crypto Libraries? - Yantong Wang, Vasilis Friderikos, Sebastian Andraos:
A Minmax Utilization Algorithm for Network Traffic Scheduling of Industrial Robots. - Atharv Singh Patlan, Shiven Tripathi, Shubham Korde:
A Review of Dialogue Systems: From Trained Monkeys to Stochastic Parrots. - Wenyu Zhu, Zhiyao Feng, Zihan Zhang, Zhijian Ou, Min Yang, Chao Zhang:
iCallee: Recovering Call Graphs for Binaries. - Yuan-Hao Lee, Fu-En Yang, Yu-Chiang Frank Wang:
A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation. - Ron Ofir, Michael Margaliot:
The Multiplicative Compound of a Matrix Pencil with Applications to Difference-Algebraic Equations. - Quentin Stiévenart, Coen De Roover, Mohammad Ghafari:
The Security Risk of Lacking Compiler Protection in WebAssembly. - Bernhard Haeupler, D. Ellis Hershkowitz, Thatchaphol Saranurak:
Fast Algorithms for Hop-Constrained Flows and Moving Cuts. - Alejandro Ranchal-Pedrosa, Vincent Gramoli:
Rational Agreement in the Presence of Crash Faults. - Qing Pan, Teng Gao, Jian Zhou, Huabin Wang, Liang Tao, Hon Keung Kwan:
CycleGAN with Dual Adversarial Loss for Bone-Conducted Speech Enhancement. - Seokjun Kim, Jaeeun Jang, Hyeoncheol Kim:
Associational Deductive Networks. - Jamie Cui, Cen Chen, Tiandi Ye, Li Wang:
Practical and Light-weight Secure Aggregation for Federated Submodel Learning. - Maiara F. Bollauf, Hsuan-Yin Lin, Øyvind Ytrehus:
The Secrecy Gain of Formally Unimodular Lattices on the Gaussian Wiretap Channel. - Giorgio Cantarini, Federico Figari Tomenotti, Nicoletta Noceti, Francesca Odone:
HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty. - Marcelo Forets, Christian Schilling:
Conservative Time Discretization: A Comparative Study. - Charles C. Morace, Thi Ngoc Hanh Le, Sheng-Yi Yao, Shang-Wei Zhang, Tong-Yee Lee:
Learning a perceptual manifold with deep features for animation video resequencing. - Philipp Weidel, Sadique Sheik:
WaveSense: Efficient Temporal Convolutions with Spiking Neural Networks for Keyword Spotting. - Jonas Kohler, Maarten C. Ottenhoff, Sophocles Goulis, Miguel Angrick, Albert J. Colon, G. Louis Wagner, Simon Tousseyn, Pieter Leonard Kubben, Christian Herff:
Synthesizing Speech from Intracranial Depth Electrodes using an Encoder-Decoder Framework. - Noémie Jaquier, Viacheslav Borovitskiy, Andrei Smolensky, Alexander Terenin, Tamim Asfour, Leonel Dario Rozo:
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels. - Ruixi Lin, Hwee Tou Ng:
System Combination for Grammatical Error Correction Based on Integer Programming. - Erna Begovic, Ana Boksic:
Trace maximization algorithm for the approximate tensor diagonalization. - Eric Cancès, Geneviève Dusson, Gaspard Kemlin, Antoine Levitt:
Practical error bounds for properties in plane-wave electronic structure calculations. - Eliya Nachmani, Shaked Dovrat:
Zero-Shot Translation using Diffusion Models. - Laurent Bienvenu, Barbara F. Csima, Matthew Harrison-Trainor:
Some Questions of Uniformity in Algorithmic Randomness. - Clémence Réda, Andrea Tirinzoni, Rémy Degenne:
Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification. - Rebecca M. C. Taylor, Johan A. du Preez:
Variational message passing (VMP) applied to LDA. - Ansh Kumar Sharma, Rahul Kukreja, Ranjitha Prasad, Shilpa Rao:
DAGSurv: Directed Acyclic Graph Based Survival Analysis Using Deep Neural Networks. - Iñigo Martinez, Jan L. Bruse, Ane M. Florez-Tapia, Elisabeth Viles, Igor G. Olaizola:
ArchABM: an agent-based simulator of human interaction with the built environment. CO2 and viral load analysis for indoor air quality. - Thibaut Balabonski, Antoine Lanco, Guillaume Melquiond:
A strong call-by-need calculus. - Christian Møldrup Legaard, Thomas Schranz, Gerald Schweiger, Ján Drgona, Basak Falay, Cláudio Gomes, Alexandros Iosifidis, Mahdi Abkar, Peter Gorm Larsen:
Constructing Neural Network-Based Models for Simulating Dynamical Systems. - Paramita Das, Bhanu Prakash Reddy Guda, Sasi Bhushan Seelaboyina, Soumya Sarkar, Animesh Mukherjee:
Quality change: norm or exception? Measurement, Analysis and Detection of Quality Change in Wikipedia. - Ra'Fat Al-Msie'deen, Anas H. Blasi, Mohammed A. Alsuwaiket:
Constructing a software requirements specification and design for electronic IT news magazine system. - Hatem Elshazly, Jorge Ejarque, Francesc Lordan, Rosa M. Badia:
Towards Enabling I/O Awareness in Task-based Programming Models. - Zohar Feldman, Hanna Ziesche, Ngo Anh Vien, Dotan Di Castro:
A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives. - Hind Saleh Alatawi, Areej Alhothali, Kawthar Moria:
Detection of Hate Speech using BERT and Hate Speech Word Embedding with Deep Model. - Rehmat Ullah, Di Wu, Paul Harvey, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese:
FedFly: Towards Migration in Edge-based Distributed Federated Learning. - Hanwen Li, Qiuyan Shang, Yong Deng:
A modified gravity model based on network efficiency for vital nodes identification in complex networks. - Irene Garcia-Camacho, Júlia Borràs Sol, Berk Çalli, Adam Norton, Guillem Alenyà:
Household Cloth Object Set: Fostering Benchmarking in Deformable Object Manipulation. - Shengcai Liu, Ning Lu, Cheng Chen, Chao Qian, Ke Tang:
HydraText: Multi-objective Optimization for Adversarial Textual Attack. - Hadrien Lautraite, Patrick Mesana:
Generating synthetic transactional profiles. - Fatih Kilinc, Ibrahim Yildirim, Ertugrul Basar:
Physical Channel Modeling for RIS-Empowered Wireless Networks in Sub-6 GHz Bands. - Domagoj Vrgoc, Carlos Rojas, Renzo Angles, Marcelo Arenas, Diego Arroyuelo, Carlos Buil-Aranda, Aidan Hogan, Gonzalo Navarro, Cristian Riveros, Juan Romero:
MillenniumDB: A Persistent, Open-Source, Graph Database. - Samreen Kazi, Shakeel A. Khoja:
UQuAD1.0: Development of an Urdu Question Answering Training Data for Machine Reading Comprehension. - Guangyuan Shi, Jiaxin Chen, Wenlong Zhang, Li-Ming Zhan, Xiao-Ming Wu:
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima. - Konstantinos Demertzis, Georgios C. Papadopoulos, Lazaros Iliadis, Lykourgos Magafas:
A Comprehensive Survey on Nanophotonics Neural Networks. - Arthur Lee, Bruce Xu:
Classifying Approximation Algorithms: Understanding the APX Complexity Class. - Alexander Aushev, Thong Tran, Henri Pesonen, Andrew Howes, Samuel Kaski:
Likelihood-Free Inference in State-Space Models with Unknown Dynamics. - Nicholas Hoernle, Rafael-Michael Karampatsis, Vaishak Belle, Kobi Gal:
MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks. - Haris Aziz, Alexander Lam, Barton E. Lee, Toby Walsh:
Strategyproof and Proportionally Fair Facility Location. - Tan Li, Linqi Song:
Privacy-Preserving Communication-Efficient Federated Multi-Armed Bandits. - Guy Blanc, Jane Lange, Li-Yang Tan:
Provably efficient, succinct, and precise explanations. - Constantin Cezar Petrescu, Sam Smith, Rafail Giavrimis, Santanu Kumar Dash:
Do Names Echo Semantics? A Large-Scale Study of Identifiers Used in C++'s Named Casts. - Hendrik Strobelt, Benjamin Hoover, Arvind Satyanarayan, Sebastian Gehrmann:
LMdiff: A Visual Diff Tool to Compare Language Models. - Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu:
Fitness Landscape Footprint: A Framework to Compare Neural Architecture Search Problems. - Kangda Zhi, Cunhua Pan, Gui Zhou, Hong Ren, Maged Elkashlan, Robert Schober:
Is RIS-Aided Massive MIMO Promising with ZF Detectors and Imperfect CSI? - Ankesh Anand, Jacob C. Walker, Yazhe Li, Eszter Vértes, Julian Schrittwieser, Sherjil Ozair, Théophane Weber, Jessica B. Hamrick:
Procedural Generalization by Planning with Self-Supervised World Models. - Dirk van der Hoeven, Nicolò Cesa-Bianchi:
Nonstochastic Bandits and Experts with Arm-Dependent Delays. - Gaetano Scebba, Jia Zhang, Sabrina Catanzaro, Carina Mihai, Oliver Distler, Martin Berli, Walter Karlen:
Detect-and-Segment: a Deep Learning Approach to Automate Wound Image Segmentation. - Zongmian Li, Jirí Sedlár, Justin Carpentier, Ivan Laptev, Nicolas Mansard, Josef Sivic:
Estimating 3D Motion and Forces of Human-Object Interactions from Internet Videos. - Lu Zhang, Peiliang Li, Jing Chen, Shaojie Shen:
Trajectory Prediction with Graph-based Dual-scale Context Fusion. - Sebastian Allmeier, Nicolas Gast:
Mean Field and Refined Mean Field Approximations for Heterogeneous Systems: It Works! - Reda Ouhamma, Odalric Maillard, Vianney Perchet:
Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge. - Mohammad Baradaran, Robert Bergevin:
A Critical Study on the Recent Deep Learning Based Semi-Supervised Video Anomaly Detection Methods. - Fehmina Malik, Manjesh Kumar Hanawal, Yezekael Hayel:
Profit Sharing Contracts between Content and Service Providers for Enhanced Network Quality. - Gaspar Faure, Hughes Perreault, Guillaume-Alexandre Bilodeau, Nicolas Saunier:
PolyTrack: Tracking with Bounding Polygons. - Qiang Liu, Nakjung Choi, Tao Han:
OnSlicing: Online End-to-End Network Slicing with Reinforcement Learning. - Min Jin Chong, Hsin-Ying Lee, David A. Forsyth:
StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGAN. - Tongxue Zhou, Su Ruan, Pierre Vera, Stéphane Canu:
A Tri-attention Fusion Guided Multi-modal Segmentation Network. - Xutian Deng, Yiting Chen, Fei Chen, Miao Li:
Learning Robotic Ultrasound Scanning Skills via Human Demonstrations and Guided Explorations. - Yao Rong, Wenjia Xu, Zeynep Akata, Enkelejda Kasneci:
Human Attention in Fine-grained Classification. - Paola F. Antonietti, Matteo Caldana, Luca Dedè:
Accelerating Algebraic Multigrid Methods via Artificial Neural Networks. - Muhammad Sajidur Rahman, Blas Kojusner, Ryon Kennedy, Prerit Pathak, Lin Qi, Byron Williams:
SO{U}RCERER: Developer-Driven Security Testing Framework for Android Apps. - Jeongeun Park, Seungyoun Shin, Sangheum Hwang, Sungjoon Choi:
Elucidating Noisy Data via Uncertainty-Aware Robust Learning. - Rohan Mukherjee, Yeming Wen, Dipak Chaudhari, Thomas W. Reps, Swarat Chaudhuri, Chris Jermaine:
Neural Program Generation Modulo Static Analysis. - Vineet Gokhale, Mohamad A. Eid, Kees Kroep, R. Venkatesha Prasad, Vijay S. Rao:
Towards Enabling High-Five Over WiFi. - Yuheng Bu, Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell:
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm. - Amin Azari, Fateme Salehi, Panagiotis Papapetrou, Cicek Cavdar:
Energy and Resource Efficiency by User Traffic Prediction and Classification in Cellular Networks. - Christoph Benzmüller, Sebastian Reiche:
Modeling and Automating Public Announcement Logic with Relativized Common Knowledge as a Fragment of HOL in LogiKEy. - Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Alexander Acker:
LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision. - Chen Zhang, Shifeng Zhang, Fabio Maria Carlucci, Zhenguo Li:
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression. - Eunji Lee, Sundong Kim, Sihyun Kim, Sungwon Park, Meeyoung Cha, Soyeon Jung, Suyoung Yang, Yeonsoo Choi, Sungdae Ji, Minsoo Song, Heeja Kim:
Classification of Goods Using Text Descriptions With Sentences Retrieval. - Luiz Fernando Capretz, Pradeep Waychal, Jingdong Jia, Yadira Lizama, Daniel Varona:
International Comparative Studies on the Software Testing Profession. - Manjin Kim, Heeseung Kwon, Chunyu Wang, Suha Kwak, Minsu Cho:
Relational Self-Attention: What's Missing in Attention for Video Understanding. - Zipeng Fu, Ashish Kumar, Jitendra Malik, Deepak Pathak:
Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots. - Gilchan Park, Julia M. Taylor:
Towards Text-based Phishing Detection. - Zhuoran Ma, Majing Lou, Xuan Ouyang:
Top1 Solution of QQ Browser 2021 Ai Algorithm Competition Track 1 : Multimodal Video Similarity. - Yupei Zhang, Kwok-Leung Chan:
Saliency detection with moving camera via background model completion. - Ran Shadmi, Jonathan Laserson, Gil Elbaz:
Using Synthetic Images To Uncover Population Biases In Facial Landmarks Detection. - Lehan Yang, Jincen Song:
Rethinking the Knowledge Distillation From the Perspective of Model Calibration. - Juuso Kalevi Kristian Eronen, Michal Ptaszynski, Fumito Masui, Aleksander Smywinski-Pohl, Gniewosz Leliwa, Michal Wroczynski:
Improving Classifier Training Efficiency for Automatic Cyberbullying Detection with Feature Density. - Georgios Tzounas:
Small-Signal Stability Techniques for Power System Modal Analysis, Control, and Numerical Integration. - Cole Hawkins, Haichuan Yang, Meng Li, Liangzhen Lai, Vikas Chandra:
Low-Rank+Sparse Tensor Compression for Neural Networks. - Carolyn Ashurst, Emmie Hine, Paul Sedille, Alexis Carlier:
AI Ethics Statements - Analysis and lessons learnt from NeurIPS Broader Impact Statements. - Archita Pathak, Rohini K. Srihari:
Assessing Effectiveness of Using Internal Signals for Check-Worthy Claim Identification in Unlabeled Data for Automated Fact-Checking. - Maksym Yatsura, Jan Hendrik Metzen, Matthias Hein:
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks. - Armin Masoumian, David G. F. Marei, Saddam Abdulwahab, Julián Cristiano, Domenec Puig, Hatem A. Rashwan:
Absolute distance prediction based on deep learning object detection and monocular depth estimation models. - Junuk Jung, Sungbin Son, Joochan Park, Yongjun Park, Seonhoon Lee, Heung-Seon Oh:
MixFace: Improving Face Verification Focusing on Fine-grained Conditions. - Kim Thang Nguyen:
Competitive Algorithms for Online Weighted Bipartite Matching and its Variants. - Kamil Raczycki:
Predicting the Location of Bicycle-sharing Stations using OpenStreetMap Data. - Enxu Li, Ryan Razani, Yixuan Xu, Bingbing Liu:
CPSeg: Cluster-free Panoptic Segmentation of 3D LiDAR Point Clouds. - Nicholas Kantack, Nina Cohen, Nathan Bos, Corey Lowman, James Everett, Timothy Endres:
Instructive artificial intelligence (AI) for human training, assistance, and explainability. - Sadeed B. Sayed, Yang Liu, Luis J. Gomez, Abdulkadir C. Yucel:
A Butterfly-Accelerated Volume Integral Equation Solver for Broad Permittivity and Large-Scale Electromagnetic Analysis. - Oliver Hamelijnck, William J. Wilkinson, Niki Andreas Lopi, Arno Solin, Theodoros Damoulas:
Spatio-Temporal Variational Gaussian Processes. - Bipasha Sen, Aditya Agarwal, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Personalized One-Shot Lipreading for an ALS Patient. - Scott C. Lowe, Thomas Trappenberg, Sageev Oore:
LogAvgExp Provides a Principled and Performant Global Pooling Operator. - Agus Sudjianto, Aijun Zhang:
Designing Inherently Interpretable Machine Learning Models. - Mateus Espadoto, Gabriel Appleby, Ashley Suh, Dylan Cashman, Mingwei Li, Carlos Scheidegger, Erik W. Anderson, Remco Chang, Alexandru C. Telea:
UnProjection: Leveraging Inverse-Projections for Visual Analytics of High-Dimensional Data. - Bleema Rosenfeld, Osvaldo Simeone, Bipin Rajendran:
Spiking Generative Adversarial Networks With a Neural Network Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning. - Aniruddh Raghu, Jonathan Lorraine, Simon Kornblith, Matthew McDermott, David Duvenaud:
Meta-Learning to Improve Pre-Training. - Dmitry Chizhik, Jinfeng Du, Reinaldo A. Valenzuela:
Universal Path Gain Laws for Common Wireless Communication Environments. - Lijie Chen, Ce Jin, R. Ryan Williams, Hongxun Wu:
Truly Low-Space Element Distinctness and Subset Sum via Pseudorandom Hash Functions. - Vladimir A. Ivanov, Konstantinos P. Michmizos:
Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics Organized by Astrocyte-modulated Plasticity. - Xinyue Evelyn Zhao, Wenrui Hao, Bei Hu:
Two neural-network-based methods for solving obstacle problems. - Hua-Liang Wei, S. A. Billings:
Modelling COVID-19 Pandemic Dynamics Using Transparent, Interpretable, Parsimonious and Simulatable (TIPS) Machine Learning Models: A Case Study from Systems Thinking and System Identification Perspectives. - Kevin M. Silva, Kevin J. Maki:
Data-Driven System Identification of 6-DoF Ship Motion in Waves with Neural Networks. - Jan Blumenkamp, Steven D. Morad, Jennifer Gielis, Qingbiao Li, Amanda Prorok:
A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies. - Angela E. Kilby, Charlie Denhart:
Location inference on social media data for agile monitoring of public health crises: An application to opioid use and abuse during the Covid-19 pandemic. - Mikhail Krechetov:
Game of Life on Graphs. - Leszek Gasieniec, Benjamin Smith, Sebastian Wild:
Towards the 5/6-Density Conjecture of Pinwheel Scheduling. - Kamal Gupta, Gowthami Somepalli, Anubhav Gupta, Vinoj Jayasundara, Matthias Zwicker, Abhinav Shrivastava:
PatchGame: Learning to Signal Mid-level Patches in Referential Games. - Weizhe Chen, Lantao Liu:
Informative Planning in the Presence of Outliers. - Weizhe Chen, Lantao Liu:
Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning. - Stéphan Plassart, Jean-Yves Le Boudec:
Equivalent Versions of Total Flow Analysis. - Xun Qian, Rustem Islamov, Mher Safaryan, Peter Richtárik:
Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning. - Arun Jambulapati, Yang P. Liu, Aaron Sidford:
Improved Iteration Complexities for Overconstrained p-Norm Regression. - Eduardo Mapurunga, Michel Gevers, Alexandre Sanfelice Bazanella:
Necessary and sufficient conditions for the identifiability of loops. - Alon Eden, Kira Goldner, Shuran Zheng:
Private Interdependent Valuations. - Robert Lieck, Martin Rohrmeier:
Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks. - Alexandre Yukio Ichida, Felipe Meneguzzi:
Detecting Logical Relation In Contract Clauses. - Jan Hückelheim, Laurent Hascoët:
Source-to-Source Automatic Differentiation of OpenMP Parallel Loops. - Dogan Can Çiçek, Enes Duran, Baturay Saglam, Furkan B. Mutlu, Suleyman S. Kozat:
Off-Policy Correction for Deep Deterministic Policy Gradient Algorithms via Batch Prioritized Experience Replay. - Saurabh Deshpande, Jakub Lengiewicz, Stéphane P. A. Bordas:
FEM-based Real-Time Simulations of Large Deformations with Probabilistic Deep Learning. - John W. van Lith, Joaquin Vanschoren:
From Strings to Data Science: a Practical Framework for Automated String Handling. - Dominik Bauer, Cornelia Bauer, Arjun Lakshmipathy, Roberto Shu, Nancy S. Pollard:
Towards Very Low-Cost Iterative Prototyping for Fully Printable Dexterous Soft Robotic Hands. - Yuxin Shi, Han Yu, Cyril Leung:
A Survey of Fairness-Aware Federated Learning. - Mohammad Khajenejad, Zeyuan Jin, Sze Zheng Yong:
Resilient Interval Observer for Simultaneous Estimation of States, Modes and Attack Policies. - Chaehwan Song, Ali Ramezani-Kebrya, Thomas Pethick, Armin Eftekhari, Volkan Cevher:
Subquadratic Overparameterization for Shallow Neural Networks. - Edwin Ho, Arvind Rajagopalan, Alex Skvortsov, Sanjeev Arulampalam, Mahendra Piraveenan:
Game Theory in defence applications: a review. - Marlin P. Strub, Jonathan D. Gammell:
AIT* and EIT*: Asymmetric bidirectional sampling-based path planning. - Achintya Gopal, Chunho Chang:
Discovering Supply Chain Links with Augmented Intelligence. - Jianli Chen, Rajendra Adhikari, Eric Wilson, Joseph Robertson, Anthony Fontanini, Ben Polly, Opeoluwa Olawale:
Stochastic simulation of residential building occupant-driven energy use in a bottom-up model of the U.S. housing stock. - Nicolas Ugrinovic, Adria Ruiz, Antonio Agudo, Alberto Sanfeliu, Francesc Moreno-Noguer:
Body Size and Depth Disambiguation in Multi-Person Reconstruction from Single Images. - Fredrik Svanström, Fernando Alonso-Fernandez, Cristofer Englund:
A dataset for multi-sensor drone detection. - Bahar Azari, Deniz Erdogmus:
Equivariant Deep Dynamical Model for Motion Prediction. - Javier Galbally, Fernando Alonso-Fernandez, Julian Fiérrez, Javier Ortega-Garcia:
A high performance fingerprint liveness detection method based on quality related features. - Changhao Wang, Jeffrey Bingham, Masayoshi Tomizuka:
Trajectory Splitting: A Distributed Formulation for Collision Avoiding Trajectory Optimization. - MohammadTaghi Hajiaghayi, Marina Knittel, Hamed Saleh, Hsin-Hao Su:
Adaptive Massively Parallel Constant-round Tree Contraction. - Di Fu, Fares Abawi, Hugo C. C. Carneiro, Matthias Kerzel, Ziwei Chen, Erik Strahl, Xun Liu, Stefan Wermter:
A trained humanoid robot can perform human-like crossmodal social attention conflict resolution. - Rhitabrat Pokharel, Dixit Bhatta:
Classifying YouTube Comments Based on Sentiment and Type of Sentence. - Guangjun Wang:
Geometrical holographic display. - Yu Zhao, Jia Song, Huali Feng, Fuzhen Zhuang, Qing Li, Xiaojie Wang, Ji Liu:
Deep Keyphrase Completion. - Simerjot Kaur, Ivan Brugere, Andrea Stefanucci, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso:
Parameterized Explanations for Investor / Company Matching. - Avishek Choudhury:
Predicting Cancer Using Supervised Machine Learning: Mesothelioma. - Marta Guimarães, Cláudia Soares, Rodrigo M. M. Ventura:
Decision Support Models for Predicting and Explaining Airport Passenger Connectivity from Data. - Damla Senol Cali:
Accelerating Genome Sequence Analysis via Efficient Hardware/Algorithm Co-Design. - Giuseppe Paolo, Alexandre Coninx, Alban Laflaquière, Stéphane Doncieux:
Discovering and Exploiting Sparse Rewards in a Learned Behavior Space. - Yong Kiam Tan, Stefan Mitsch, André Platzer:
Verifying Switched System Stability With Logic. - Ahmad Basheer Hassanat, Abeer Albustanji, Ahmad S. Tarawneh, Malek Q. Alrashidi, Hani Alharbi, Mohammed Alanazi, Mansoor Alghamdi, Ibrahim S. Alkhazi, V. B. Surya Prasath:
Deep learning for identification and face, gender, expression recognition under constraints. - Mojan Javaheripi, Farinaz Koushanfar:
HASHTAG: Hash Signatures for Online Detection of Fault-Injection Attacks on Deep Neural Networks. - Christian Hildebrand, Donna Hoffman, Tom Novak:
Dehumanizing Voice Technology: Phonetic & Experiential Consequences of Restricted Human-Machine Interaction. - Gorjan Radevski, Marie-Francine Moens, Tinne Tuytelaars:
Revisiting spatio-temporal layouts for compositional action recognition. - Truong Son-Hy, Risi Kondor:
Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs. - Jiawei Wang, Lijun Sun:
Robust Dynamic Bus Control: A Distributional Multi-agent Reinforcement Learning Approach. - Wenjun Huang, Marcus Paradies:
An Evaluation of WebAssembly and eBPF as Offloading Mechanisms in the Context of Computational Storage. - Cristóbal Ramírez Lazo:
Design and implementation of an out-of-order execution engine of floating-point arithmetic operations. - Cristóbal Ramírez Lazo, César-Alejandro Hernández-Calderón, Oscar Palomar, Osman Sabri Unsal, Marco Antonio Ramírez, Adrián Cristal:
A RISC-V Simulator and Benchmark Suite for Designing and Evaluating Vector Architectures. - Mohammad Farajtabar, Mohit Biglarian, Morteza Miansari:
Machine-Learning Identification of Hemodynamics in Coronary Arteries in the Presence of Stenosis. - David Howard, Jack O'Connor, Jordan Letchford, James Brett, Therese Joseph, Sophia Lin, Daniel Furby, Gary W. Delaney:
Getting a Grip: in Materio Evolution of Membrane Morphology for Soft Robotic Jamming Grippers. - Halim Lee, Sam Pullen, Jiyun Lee, Byoungwoon Park, Moonseok Yoon, Jiwon Seo:
Optimal Parameter Inflation to Enhance the Availability of Single-Frequency GBAS for Intelligent Air Transportation. - Weina Wang, Anupam Gupta, Jalani Williams:
Probing to Minimize. - Huiyi Hu, Ang Li, Daniele Calandriello, Dilan Görür:
One Pass ImageNet. - Koshi Oishi, Yasushi Amano, Tomohiko Jimbo:
Cooperative Transportation with Multiple Aerial Robots and Decentralized Control for Unknown Payloads. - Kelsey O'Haire, Sobhan Soleymani, Baaria Chaudhary, Poorya Aghdaie, Jeremy M. Dawson, Nasser M. Nasrabadi:
Adversarially Perturbed Wavelet-based Morphed Face Generation. - Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng, Xizhao Wang:
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications. - Hwi Kim, Jaegun Lee, Hee-Kap Ahn:
Rectangular Partitions of a Rectilinear Polygon. - Damiano Perri, Marco Simonetti, Sergio Tasso, Federico Ragni, Osvaldo Gervasi:
Implementing a scalable and elastic computing environment based on Cloud Containers.