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ORCIDCoRR, November 2020
- Guillaume Ducoffe:
Distance problems within Helly graphs and k-Helly graphs. - Juan Liao, Wei Liu, Xiaoyan Wang:
Truncated Milstein method for non-autonomous stochastic differential equations and its modification. - Florent Foucaud, Shih-Shun Kao, Ralf Klasing, Mirka Miller, Joe Ryan:
Monitoring the edges of a graph using distances. - Ruben Grandia, Andrew J. Taylor, Aaron D. Ames, Marco Hutter:
Multi-Layered Safety for Legged Robots via Control Barrier Functions and Model Predictive Control. - Xutai Ma, Yongqiang Wang, Mohammad Javad Dousti, Philipp Koehn, Juan Miguel Pino:
Streaming Simultaneous Speech Translation with Augmented Memory Transformer. - Cassie Meeker, Michaela Fraser, Sangwoo Park, Ava Chen, Lynne M. Weber, Mitchell Miya, Joel Stein, Matei T. Ciocarlie:
Semi-Supervised Intent Inferral Using Ipsilateral Biosignals on a Hand Orthosis for Stroke Subjects. - Matthew Schwall, Tom Daniel, Trent Victor, Francesca Favaro, Henning Hohnhold:
Waymo Public Road Safety Performance Data. - Zhengyuan Yang, Amanda Kay, Yuncheng Li, Wendi Cross, Jiebo Luo:
Pose-based Body Language Recognition for Emotion and Psychiatric Symptom Interpretation. - Timon S. Gutleb
, José A. Carrillo, Sheehan Olver:
Computing Equilibrium Measures with Power Law Kernels. - Lucky Qiaofeng Li, Xizhi Su:
Numerical Method for a Class of Algebraic Riccati Equations. - Timothy Nguyen, Zhourong Chen, Jaehoon Lee:
Dataset Meta-Learning from Kernel Ridge-Regression. - Asmit Kumar Singh, Paras Mehan, Divyanshu Sharma, Rohan Pandey, Tavpritesh Sethi, Ponnurangam Kumaraguru:
(Un)Masked COVID-19 Trends from Social Media. - Nick Webb, Dan Smith, Christopher Ludwick, Trent Victor, Qi Hommes, Francesca Favaro, George Ivanov, Tom Daniel:
Waymo's Safety Methodologies and Safety Readiness Determinations. - Harshit Jain, Nishant Raj, Suyash Mishra:
A Sui Generis QA Approach using RoBERTa for Adverse Drug Event Identification. - Marzieh Fadaee, Olga Gureenkova, Fernando Rejon Barrera, Carsten Schnober, Wouter Weerkamp, Jakub Zavrel:
A New Neural Search and Insights Platform for Navigating and Organizing AI Research. - Janez Brest, Borko Boskovic:
In Searching of Long Skew-symmetric Binary Sequences with High Merit Factors. - Arissa Wongpanich, Hieu Pham, James Demmel, Mingxing Tan, Quoc V. Le, Yang You, Sameer Kumar:
Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour. - Shahbaz Abdul Khader, Hang Yin, Pietro Falco, Danica Kragic:
Learning Stable Normalizing-Flow Control for Robotic Manipulation. - Yao Yang, Andrew Nam, Mohamad M. Nasr-Azadani, Teresa Tung:
Resource-Aware Pareto-Optimal Automated Machine Learning Platform. - Alaa Alameer Ahmad, Yijie Mao, Aydin Sezgin, Bruno Clerckx:
Rate Splitting Multiple Access in C-RAN: A Scalable and Robust Design. - Olivier Sète, Jan Zur:
The transport of images method: computing all zeros of harmonic mappings by continuation. - John P. Lalor, Hong Yu:
Dynamic Data Selection for Curriculum Learning via Ability Estimation. - Jayadev Acharya, Yuhan Liu, Ziteng Sun:
Estimating Sparse Discrete Distributions Under Local Privacy and Communication Constraints. - Canran Wang, Netanel Raviv:
Low Latency Cross-Shard Transactions in Coded Blockchain. - Dhruvil Gala, Mohammad Omar Khursheed, Hannah Lerner, Brendan O'Connor, Mohit Iyyer:
Analyzing Gender Bias within Narrative Tropes. - Chaitanya Talnikar, Tatiana Likhomanenko, Ronan Collobert, Gabriel Synnaeve:
Joint Masked CPC and CTC Training for ASR. - Yuan Chen, Donglin Zeng, Tianchen Xu, Yuanjia Wang:
Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatments. - Sai Vemprala, Ashish Kapoor:
Adversarial Attacks on Optimization based Planners. - Martin Grohe, Peter Lindner:
Independence in Infinite Probabilistic Databases. - Frank A. Ibarra, Daniel Turizo, César Orozco-Henao, Javier Guerrero:
Generator Controller Tuning Considering Stochastic Load Variation Using Analysis of Variance and Response Surface Method. - Zhongliang Jiang, Zhenyu Li, Matthias Grimm, Mingchuan Zhou, Marco Esposito, Wolfgang Wein, Walter Stechele, Thomas Wendler, Nassir Navab:
Autonomous Robotic Screening of Tubular Structures based only on Real-Time Ultrasound Imaging Feedback. - Lubin Meng, Jian Huang, Zhigang Zeng, Xue Jiang, Shan Yu, Tzyy-Ping Jung, Chin-Teng Lin, Ricardo Chavarriaga, Dongrui Wu:
EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks. - Peiyao Sheng, Bowen Xue, Sreeram Kannan, Pramod Viswanath:
ACeD: Scalable Data Availability Oracle. - Kun Qian, Poornima Chozhiyath Raman, Yunyao Li, Lucian Popa:
Learning Structured Representations of Entity Names using Active Learning and Weak Supervision. - Houcemeddine Turki, Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha:
Semantic similarity-based approach to enhance supervised classification learning accuracy. - Nick Karcher, Richard Gebauer, Robin Bauknecht, Rainer Illichmann, Oliver Sander:
Versatile Configuration and Control Framework for Real Time Data Acquisition Systems. - Eugene Vinitsky, Nathan Lichtle, Kanaad Parvate, Alexandre M. Bayen:
Optimizing Mixed Autonomy Traffic Flow With Decentralized Autonomous Vehicles and Multi-Agent RL. - Tongtong Li, Ivan Yotov:
A mixed elasticity formulation for fluid-poroelastic structure interaction. - Nathan Ng, Marzyeh Ghassemi, Narendran Thangarajan, Jiacheng Pan, Qi Guo:
Improving Dialogue Breakdown Detection with Semi-Supervised Learning. - Manuel Cruz Rodriguez, Victoria Hernández-Mederos, Jorge Estrada-Sarlabous, Eduardo Moreno Hernández, Ahmed Mansur Graverán:
Numerical solution of the wave propagation problem in a plate. - Samarth Gupta, Saurabh Amin:
Integer Programming-based Error-Correcting Output Code Design for Robust Classification. - Guoliang Kang, Yunchao Wei, Yi Yang, Yueting Zhuang, Alexander G. Hauptmann:
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation. - Anindo Saha, Prem Prasad, Abdullah Thabit:
Leveraging Adaptive Color Augmentation in Convolutional Neural Networks for Deep Skin Lesion Segmentation. - Anindo Saha, Fakrul Islam Tushar, Khrystyna Faryna, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo:
Weakly Supervised 3D Classification of Chest CT using Aggregated Multi-Resolution Deep Segmentation Features. - Azka Muji Burohman, Bart Besselink, Jacquelien M. A. Scherpen, M. Kanat Camlibel:
From data to reduced-order models via moment matching. - Kei Ota, Devesh K. Jha, Tadashi Onishi, Asako Kanezaki, Yusuke Yoshiyasu, Yoko Sasaki, Toshisada Mariyama, Daniel Nikovski:
Deep Reactive Planning in Dynamic Environments. - Xiaowu Dai, Michael I. Jordan:
Learning Strategies in Decentralized Matching Markets under Uncertain Preferences. - Gustavo Zanoni Felipe, Jacqueline Nelisis Zanoni, Camila C. Sehaber-Sierakowski, Gleison D. P. Bossolani, Sara R. G. Souza, Franklin César Flores, Luiz E. S. Oliveira, Rodolfo Miranda Pereira, Yandre M. G. Costa:
Automatic Chronic Degenerative Diseases Identification Using Enteric Nervous System Images. - Huibin Chang, Roland Glowinski, Stefano Marchesini, Xue-Cheng Tai, Yang Wang, Tieyong Zeng:
Overlapping Domain Decomposition Methods for Ptychographic Imaging. - Tao Xu, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Longjie Shen, Maoguo Gong:
Differentially Private ADMM Algorithms for Machine Learning. - Esmaeil Seraj, Xiyang Wu, Matthew C. Gombolay:
FireCommander: An Interactive, Probabilistic Multi-agent Environment for Joint Perception-Action Tasks. - Aniruddha Tamhane, Jie Ying Wu, Mathias Unberath:
Multimodal and self-supervised representation learning for automatic gesture recognition in surgical robotics. - Hu Xu, Lei Shu, Philip S. Yu, Bing Liu:
Understanding Pre-trained BERT for Aspect-based Sentiment Analysis. - Pinyan Lu, Xuandi Ren, Enze Sun, Yubo Zhang:
Generalized Sorting with Predictions. - Guang Hua, Qingyi Wang, Dengpan Ye, Haijian Zhang:
Reliability of Power System Frequency on Times-Stamping Digital Recordings. - Maoqiang Wu, Xinyue Zhang, Jiahao Ding, Hien Van Nguyen, Rong Yu, Miao Pan, Stephen T. Wong:
Evaluation of Inference Attack Models for Deep Learning on Medical Data. - Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian:
Learning Open Set Network with Discriminative Reciprocal Points. - Shuman Peng, Weilian Song, Martin Ester:
Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification. - Renshu Gu, Gaoang Wang, Jenq-Neng Hwang:
Exploring Severe Occlusion: Multi-Person 3D Pose Estimation with Gated Convolution. - Chen Wei, Yiping Tang, Chuang Niu, Haihong Hu, Yue Wang, Jimin Liang:
Self-supervised Representation Learning for Evolutionary Neural Architecture Search. - Bingxu Li, Fanyong Cheng, Xin Zhang, Can Cui, Wenjian Cai:
A Novel Semi-Supervised Data-Driven Method for Chiller Fault Diagnosis with Unlabeled Data. - Gaofeng Huang, Amir H. Jafari:
Enhanced Balancing GAN: Minority-class Image Generation. - Hancheng Cao, Zhilong Chen, Mengjie Cheng, Shuling Zhao, Tao Wang, Yong Li:
You Recommend, I Buy: How and Why People Engage in Instant Messaging Based Social Commerce. - Haochen Liu, Zitao Liu, Zhongqin Wu, Jiliang Tang:
Personalized Multimodal Feedback Generation in Education. - Ali Lotfi-Rezaabad, Rahi Kalantari, Sriram Vishwanath, Mingyuan Zhou, Jonathan I. Tamir:
Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference. - Siddhartha Gairola, Francis Tom, Nipun Kwatra, Mohit Jain:
RespireNet: A Deep Neural Network for Accurately Detecting Abnormal Lung Sounds in Limited Data Setting. - Xu Xiang:
The xx205 System for the VoxCeleb Speaker Recognition Challenge 2020. - Junyuan Gao, Yongpeng Wu, Yongjian Wang, Wenjun Zhang, Fan Wei:
Uplink Transmission Design for Crowded Correlated Cell-Free Massive MIMO-OFDM Systems. - Sungyong Baik, Myungsub Choi, Janghoon Choi, Heewon Kim, Kyoung Mu Lee:
Meta-Learning with Adaptive Hyperparameters. - Wenhao Yang, Xiang Li, Guangzeng Xie, Zhihua Zhang:
Finding the Near Optimal Policy via Adaptive Reduced Regularization in MDPs. - Shuyin Xia, Wenhua Li, Guoyin Wang, Xinbo Gao, Changqing Zhang, Elisabeth Giem:
LRA: an accelerated rough set framework based on local redundancy of attribute for feature selection. - Vivek Kumar Singh, Prashasti Singh, Mousumi Karmakar, Jacqueline Leta, Philipp Mayr:
The Journal Coverage of Web of Science, Scopus and Dimensions: A Comparative Analysis. - Haiwen Cao, Pascal O. Vontobel:
Using List Decoding to Improve the Finite-Length Performance of Sparse Regression Codes. - Aniket Bhushan, Vishesh Vatsal, Sri Anish Vutukuri, C. Barath, Abhijit Bannerji:
GTOC X: Karmarkar's Gang's Approach and Results. - Kristina Marner, Stefan Wagner, Guenther Ruhe:
Stakeholder identification for a structured release planning approach in the automotive domain. - Ilia Sucholutsky, Matthias Schonlau:
Optimal 1-NN Prototypes for Pathological Geometries. - Jin-Yuan Wang, Xian-Tao Fu, Rong-Rong Lu, Jun-Bo Wang, Min Lin, Julian Cheng:
Tight Capacity Bounds for Indoor Visible Light Communications With Signal-Dependent Noise. - Bilal Abu-Salih:
Domain-specific Knowledge Graphs: A survey. - Khaled Alanezi, Shivakant Mishra:
An edge-based architecture to support the execution of ambience intelligence tasks using the IoP paradigm. - Sunil Vadera, Salem Ameen:
Methods for Pruning Deep Neural Networks. - Jhonny Mertz, Ingrid Nunes:
A Qualitative Study of Application-level Caching. - Ayesha Afzal, Georg Hager, Gerhard Wellein:
An analytic performance model for overlapping execution of memory-bound loop kernels on multicore CPUs. - Rodrigo Alejandro Chávez Mulsa, Gerasimos Spanakis:
Evaluating Bias In Dutch Word Embeddings. - Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, Massimo Poesio:
Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution. - Jhonny Mertz, Ingrid Nunes:
Automation of application-level caching in a seamless way. - Márton Véges, András Lörincz:
Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People. - Rikke Bjerg Jensen:
Fragmented digital connectivity and security at sea. - Nikos Vasilakis, Cristian-Alexandru Staicu, Greg Ntousakis, Konstantinos Kallas, Ben Karel, André DeHon, Michael Pradel:
Mir: Automated Quantifiable Privilege Reduction Against Dynamic Library Compromise in JavaScript. - Gradimir V. Milovanovic:
Ostrowski type inequalities and some selected quadrature formulae. - Yudianto Sujana, Jiawen Li, Hung-Yu Kao:
Rumor Detection on Twitter Using Multiloss Hierarchical BiLSTM with an Attenuation Factor. - Cheng Fu, Robert Weibel:
Measuring Place Function Similarity with Trajectory Embedding. - Sebastian Cmentowski, Jens H. Krüger:
Playing With Friends - The Importance of Social Play During the COVID-19 Pandemic. - Weidong Shi, Guanghui Ren, Yunpeng Chen, Shuicheng Yan:
ProxylessKD: Direct Knowledge Distillation with Inherited Classifier for Face Recognition. - Pu Sun, Yuezun Li, Honggang Qi, Siwei Lyu:
LandmarkGAN: Synthesizing Faces from Landmarks. - Cory M. Knapp:
Partial Functions and Recursion in Univalent Type Theory. - Tobias Zaenker, Claus Smitt, Chris McCool, Maren Bennewitz:
Viewpoint Planning for Fruit Size and Position Estimation. - Abdulrahman Aloraini, Juntao Yu, Massimo Poesio:
Neural Coreference Resolution for Arabic. - Paul Hand, Oscar Leong, Vladislav Voroninski:
Optimal Sample Complexity of Gradient Descent for Amplitude Flow via Non-Lipschitz Matrix Concentration. - Lei Dong, Xiaohui Yuan, Meng Li, Carlo Ratti, Yu Liu:
A gridded establishment dataset as a proxy for economic activity in China. - Parikha Mehrotra, David Yang, Scott Weigand, Shreyas Sen:
In-The-Wild Interference Characterization and Modelling for Electro-Quasistatic-HBC with Miniaturized Wearables. - Zexi Chen, Jiaxin Guo, Xuecheng Xu, Yunkai Wang, Yue Wang, Rong Xiong:
Pose Randomization for Weakly Paired Image Style Translation. - Michael Dowd, Anna Dixon, Benjamin Kinsella:
Optimizing Waste Management Collection Routes in Urban Haiti: A Collaboration between DataKind and SOIL. - Liang Liao, Stephen John Maybank:
General Data Analytics with Applications to Visual Information Analysis: A Provable Backward-Compatible Semisimple Paradigm over T-Algebra. - S. D. Pogorilyy, A. A. Kramov:
Method of the coherence evaluation of Ukrainian text. - Xinyue Evelyn Zhao, Wenrui Hao, Bei Hu:
Convergence analysis of neural networks for solving a free boundary system. - Gathika Ratnayaka, Nisansa de Silva, Amal Shehan Perera, Ramesh Pathirana:
Effective Approach to Develop a Sentiment Annotator For Legal Domain in a Low Resource Setting. - Amirahmad Chapnevis, Babak Sadeghiyan:
A Secure Two-Party Computation Protocol for Intersection Detection between Two Convex Hulls. - Jhony Kaesemodel Pontes, James Hays, Simon Lucey:
Scene Flow from Point Clouds with or without Learning. - Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers:
Self-paced and self-consistent co-training for semi-supervised image segmentation. - Zona Kostic, Jared Jessup, Jeffrey Baglioni, Nathan T. Weeks, Johann Philipp Dreessen, Ning Chen, Tianyu Liu:
Visual Companion for Booklovers. - Brijen Thananjeyan, Kirthevasan Kandasamy, Ion Stoica, Michael I. Jordan, Ken Goldberg, Joseph E. Gonzalez:
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Nonlinear Scaling with Adaptive Parallelism. - Ella Rabinovich, Hila Gonen, Suzanne Stevenson:
Pick a Fight or Bite your Tongue: Investigation of Gender Differences in Idiomatic Language Usage. - Neil Yeung, Jonathan Lai, Jiebo Luo:
Face Off: Polarized Public Opinions on Personal Face Mask Usage during the COVID-19 Pandemic. - Yasin Almalioglu, Angel Santamaria-Navarro, Benjamin Morrell, Ali-akbar Agha-mohammadi:
Unsupervised Deep Persistent Monocular Visual Odometry and Depth Estimation in Extreme Environments. - Thomas Kober, Malihe Alikhani, Matthew Stone, Mark Steedman:
Aspectuality Across Genre: A Distributional Semantics Approach. - Ahmed Ali, Yasser Hifny:
Efficient Arabic emotion recognition using deep neural networks. - Yatong Chen, Jialu Wang, Yang Liu:
Strategic Recourse in Linear Classification. - Wenshan Wang, Yaoyu Hu, Sebastian A. Scherer:
TartanVO: A Generalizable Learning-based VO. - Ashish Jaiswal, Ashwin Ramesh Babu, Mohammad Zaki Zadeh, Debapriya Banerjee, Fillia Makedon:
A Survey on Contrastive Self-supervised Learning. - Cao Vien Phung, Admela Jukan:
Increasing Transmission Distance in THz systems with Erasure Coding and Auxiliary Channels. - Qahhar Muhammad Qadir:
Analysis of the reliability of LoRa. - Maryam Dialameh, Ali Hamzeh, Hossein Rahmani:
DL-Reg: A Deep Learning Regularization Technique using Linear Regression. - David Gundana, Hadas Kress-Gazit:
Event-Based Signal Temporal Logic Synthesis for Single and Multi-Robot Tasks. - Jiaming Hu, Hongyi Ling, Priyam Parashar, Aayush Naik, Henrik I. Christensen:
Pose Estimation of Specular and Symmetrical Objects. - Ankita Agarwal, Preetham Salehundam, Swati Padhee, William L. Romine, Tanvi Banerjee:
Leveraging Natural Language Processing to Mine Issues on Twitter During the COVID-19 Pandemic. - Jialu Wang, Yang Liu, Caleb C. Levy:
Fair Classification with Group-Dependent Label Noise. - Shuonan Pei, Mingzhi Zhu:
Real-Time Text Detection and Recognition. - Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How:
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning. - Meiyi Ma, John A. Stankovic, Ezio Bartocci, Lu Feng:
CityPM: Predictive Monitoring with Logic-Calibrated Uncertainty for Smart Cities. - Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu:
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification. - Adilson Luiz Bonifácio, Camila Sonoda Gomes:
A Model-Based Testing Tool for Asynchronous Reactive Systems. - Carlo Tiseo, Vladimir Ivan, Wolfgang Merkt, Ioannis Havoutis, Michael N. Mistry, Sethu Vijayakumar:
A Passive Navigation Planning Algorithm for Collision-free Control of Mobile Robots. - Ankit Bandyopadhyay:
Measure Theoretic Approach to Nonuniform Learnability. - Skanda Shridhar, Yuhang Ma, Tara Stentz, Zhengdi Shen, Galen Clark Haynes, Neil Traft:
Beelines: Evaluating Motion Prediction Impact on Self-Driving Safety and Comfort. - Beidi Zhao, Shuai Li, Yanbo Gao, Chuankun Li, Wanqing Li:
A Framework of Combining Short-Term Spatial/Frequency Feature Extraction and Long-Term IndRNN for Activity Recognition. - Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, Peter Stone:
APPLR: Adaptive Planner Parameter Learning from Reinforcement. - Peng Su, K. Vijay-Shanker:
Investigation of BERT Model on Biomedical Relation Extraction Based on Revised Fine-tuning Mechanism. - Zhaoen Su, Chao Wang, Henggang Cui, Nemanja Djuric, Carlos Vallespi-Gonzalez, David Bradley:
Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory Parameterization. - Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone:
APPLI: Adaptive Planner Parameter Learning From Interventions. - Sam Toyer, Rohin Shah, Andrew Critch, Stuart Russell:
The MAGICAL Benchmark for Robust Imitation. - Koji Takeda, Kanji Tanaka:
Dark Reciprocal-Rank: Boosting Graph-Convolutional Self-Localization Network via Teacher-to-student Knowledge Transfer. - Minh Tran, Yipeng Zhang, Mohammad Soleymani:
Towards A Friendly Online Community: An Unsupervised Style Transfer Framework for Profanity Redaction. - Alexander H. Liu, Yu-An Chung, James R. Glass:
Non-Autoregressive Predictive Coding for Learning Speech Representations from Local Dependencies. - Xu Shen, Edward L. Zhu, Yvonne R. Stürz, Francesco Borrelli:
Collision Avoidance in Tightly-Constrained Environments without Coordination: a Hierarchical Control Approach. - Varun Nagesh Jolly Behera, Ashish Ranjan, Motahar Reza:
Graph based Clustering Algorithm for Social Community Transmission Prediction of COVID-19. - Di Jin, Zhijing Jin, Zhiting Hu, Olga Vechtomova, Rada Mihalcea:
Deep Learning for Text Style Transfer: A Survey. - Haonan Yan, Xiaoguang Li, Hui Li, Jiamin Li, Wenhai Sun, Fenghua Li:
Monitoring-based Differential Privacy Mechanism Against Query-Flooding Parameter Duplication Attack. - Shinan Liu, Paul Schmitt, Francesco Bronzino, Nick Feamster:
Characterizing Service Provider Response to the COVID-19 Pandemic in the United States. - Yujie Lu, Shengyu Zhang, Yingxuan Huang, Luyao Wang, Xinyao Yu, Zhou Zhao, Fei Wu:
Future-Aware Diverse Trends Framework for Recommendation. - Hardik Meisheri, Harshad Khadilkar:
Sample Efficient Training in Multi-Agent Adversarial Games with Limited Teammate Communication. - Arda Akdemir, Tetsuo Shibuya:
Analyzing the Effect of Multi-task Learning for Biomedical Named Entity Recognition. - Xuan Li, Jessica McWilliams, Minchen Li, Cynthia Sung, Chenfanfu Jiang:
Soft Hybrid Aerial Vehicle via Bistable Mechanism. - Xiaochen Liu:
Efficient Pipelines for Vision-Based Context Sensing. - Roger S. Passos, Douglas de O. Cardoso:
Extrema Analysis of Node Centrality in Weighted Networks. - Muhammad Ashad Kabir, Jun Han, Md. Arafat Hossain, Steve Versteeg:
Heuristic-based Mining of Service Behavioral Models from Interaction Traces. - Congpei An, Hao-Ning Wu:
Lasso hyperinterpolation over general regions. - Yanmei Jiao, Lilu Liu, Bo Fu, Xiaqing Ding, Minhang Wang, Yue Wang, Rong Xiong:
Robust localization for planar moving robot in changing environment: A perspective on density of correspondence and depth. - Brendan Tidd, Nicolas Hudson, Akansel Cosgun, Jürgen Leitner:
Learning When to Switch: Composing Controllers to Traverse a Sequence of Terrain Artifacts. - Licheng Wen, Zhen Zhang, Zhe Chen, Xiangrui Zhao, Yong Liu:
CL-MAPF: Multi-Agent Path Finding for Car-Like Robots with Kinematic and Spatiotemporal Constraints. - Ashish Ranjan, Varun Nagesh Jolly Behera, Motahar Reza:
A Parallel Approach for Real-Time Face Recognition from a Large Database. - Keyu Chen, Di Zhuang, J. Morris Chang:
Discriminative Adversarial Domain Generalization with Meta-learning based Cross-domain Validation. - Anqiao Li, Zhicheng Wang, Jun Wu, Qiuguo Zhu:
Bound Controller for a Quadruped Robot using Pre-Fitting Deep Reinforcement Learning. - Meng-Chieh Lee, Yue Zhao, Aluna Wang, Pierre Jinghong Liang, Leman Akoglu, Vincent S. Tseng, Christos Faloutsos:
AutoAudit: Mining Accounting and Time-Evolving Graphs. - Hyokeun Lee, Seungyong Lee, Byeongki Song, Moonsoo Kim, Seokbo Shim, Hyun Kim, Hyuk-Jae Lee:
Mitigating Write Disturbance Errors of Phase-Change Memory as In-Module Approach. - Suyu Ge, Lu Cheng, Huan Liu:
Improving Cyberbully Detection with User Interaction. - Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Ian D. Reid:
HM4: Hidden Markov Model with Memory Management for Visual Place Recognition. - Baihua Shi, Nuo Chen, Xicheng Zhu, Yuwen Qian, Yijin Zhang, Feng Shu, Jiangzhou Wang:
Impact of Low-Resolution ADC on DOA Estimation Performance for Massive MIMO Receive Array. - Hadeel Saadany, Emad Mohamed, Constantin Orasan:
Fake or Real? A Study of Arabic Satirical Fake News. - Jeffrey O. Shallit:
Abelian Complexity and Synchronization. - Martin Servin, Tomas Berglund, Samuel Nystedt:
A multiscale model of terrain dynamics for real-time earthmoving simulation. - Jun Ma, Zilong Cheng, Xiaoxue Zhang, Masayoshi Tomizuka, Tong Heng Lee:
Alternating Direction Method of Multipliers for Constrained Iterative LQR in Autonomous Driving. - Jose Berengueres:
What is the T-Algorithm? A case study to evaluate a new University. - Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela:
Differentially Private Bayesian Inference for Generalized Linear Models. - Miruna Pislar, Marek Rei:
Seeing Both the Forest and the Trees: Multi-head Attention for Joint Classification on Different Compositional Levels. - Zhen-Chen Guo, Eric King-Wah Chu, Xin Liang:
Highly accurate decoupled doubling algorithm for large-scale M-matrix algebraic Riccati equations. - Chengcan Ying, Zhen Wu, Xinyu Dai, Shujian Huang, Jiajun Chen:
Opinion Transmission Network for Jointly Improving Aspect-oriented Opinion Words Extraction and Sentiment Classification. - Zhen Wu, Chengcan Ying, Xinyu Dai, Shujian Huang, Jiajun Chen:
Transformer-based Multi-Aspect Modeling for Multi-Aspect Multi-Sentiment Analysis. - Jhonny Mertz, Ingrid Nunes:
Understanding Application-Level Caching in Web Applications: A Comprehensive Introduction and Survey of State-of-the-Art. - Kevin Roitero:
Cheap IR Evaluation: Fewer Topics, No Relevance Judgements, and Crowdsourced Assessments. - A. Narasimhan, C. C. de Visser, Christophe De Wagter, M. Rischmueller:
Fault Tolerant Control of Multirotor UAV for Piloted Outdoor Flights. - Vitou Phy, Yang Zhao, Akiko Aizawa:
Deconstruct to Reconstruct a Configurable Evaluation Metric for Open-Domain Dialogue Systems. - Shashank Srikanth, Mithun Babu, Houman Masnavi, Arun Kumar Singh, Karl Kruusamäe, K. Madhava Krishna:
Fast Adaptation of Manipulator Trajectories to Task Perturbation By Differentiating through the Optimal Solution. - Wei Deng, Yili Xia, Zhe Li, Wenjiang Pei:
On the Distribution of SINR for MIMO Systems with Widely Linear MMSE Receivers. - Jian Wen, Xuebo Zhang, Qingchen Bi, Zhangchao Pan, Yanghe Feng, Jing Yuan, Yongchun Fang:
MRPB 1.0: A Unified Benchmark for the Evaluation of Mobile Robot Local Planning Approaches. - Ram Machlev, Nilanjan Roy Chowdhury, Juri Belikov, Yoash Levron:
Storage placement policy for minimizing frequency deviation: A combinatorial optimization approach. - Niv Pekar, Yaniv Benny, Lior Wolf:
Generating Correct Answers for Progressive Matrices Intelligence Tests. - Alon Eden, Michal Feldman, Inbal Talgam-Cohen, Ori Zviran:
Price of Anarchy of Simple Auctions with Interdependent Values. - Peyman Afshani:
A Lower Bound for Dynamic Fractional Cascading. - Henry Pulver, Francisco Eiras, Ludovico Carozza, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy:
PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving. - David Schaller, Manuela Geiß, Marc Hellmuth, Peter F. Stadler:
Best Match Graphs with Binary Trees. - Xiangyu Zhao, Hanzhou Wu, Xinpeng Zhang:
Watermarking Graph Neural Networks by Random Graphs. - Valerie Chen, Abhinav Gupta, Kenneth Marino:
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning. - Rujing Yao, Yingchun Ye, Ji Zhang, Shuxiao Li, Ou Wu:
AI Marker-based Large-scale AI Literature Mining. - Junru Lu, Gabriele Pergola, Lin Gui, Binyang Li, Yulan He:
CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering. - Bas van Stein, Hao Wang, Thomas Bäck:
Neural Network Design: Learning from Neural Architecture Search. - Ryan Steindl, Thomas Molnar, Fletcher Talbot, Nicolas Hudson, Benjamin Tam, Simon Murrell, Navinda Kottege:
Bruce - Design and Development of a Dynamic Hexapod Robot. - Kayla Boggess, Shenghui Chen, Lu Feng:
Towards Personalized Explanation of Robotic Planning via User Feedback. - Taimur Hassan, Ayman El-Baz, Naoufel Werghi:
Autonomous Extraction of Gleason Patterns for Grading Prostate Cancer using Multi-Gigapixel Whole Slide Images. - Julien Dupeyroux, Jesse J. Hagenaars, Federico Paredes-Vallés, Guido de Croon:
Neuromorphic control for optic-flow-based landings of MAVs using the Loihi processor. - Badr AlKhamissi, Muhammad N. ElNokrashy, Mohamed Gabr:
Deep Diacritization: Efficient Hierarchical Recurrence for Improved Arabic Diacritization. - Kyung Ho Park, Eunji Park, Huy Kang Kim:
Unsupervised Intrusion Detection System for Unmanned Aerial Vehicle with Less Labeling Effort. - Gamal Sallam, Zizhan Zheng, Jie Wu, Bo Ji:
Robust Sequence Submodular Maximization. - Zining Zhu, Yang Xu, Frank Rudzicz:
Semantic coordinates analysis reveals language changes in the AI field. - Huda Khayrallah, João Sedoc:
SMRT Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multiple Reference Training. - Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu:
U-rank: Utility-oriented Learning to Rank with Implicit Feedback. - Victor Zuanazzi, Joris van Vugt, Olaf Booij, Pascal Mettes:
Adversarial Self-Supervised Scene Flow Estimation. - Guoliang Liu, Qinghui Zhang, Yichao Cao, Junwei Li, Hao Wu, Guohui Tian:
Memory Group Sampling Based Online Action Recognition Using Kinetic Skeleton Features. - Vishnu Sashank Dorbala, Arjun Srinivasan, Aniket Bera:
Can a Robot Trust You? A DRL-Based Approach to Trust-Driven Human-Guided Navigation. - Tobias Rosenberger, Saddek Bensalem, Alexander Knapp, Markus Roggenbach:
Institution-based Encoding and Verification of Simple UML State Machines in CASL/SPASS. - Tharindu Ranasinghe, Sarthak Gupte, Marcos Zampieri, Ifeoma Nwogu:
WLV-RIT at HASOC-Dravidian-CodeMix-FIRE2020: Offensive Language Identification in Code-switched YouTube Comments. - Frederik Baymler Mathiesen, Garey Fleeman:
A Flow-Efficient and Legal-by-Construction Real-Time Traffic Signal Control Platform. - Jonas C. Kiemel, Torsten Kröger:
Learning Robot Trajectories subject to Kinematic Joint Constraints. - Samuel Louvan, Bernardo Magnini:
Recent Neural Methods on Slot Filling and Intent Classification for Task-Oriented Dialogue Systems: A Survey. - Muntaha Iqbal, Kamran Amjad, Bilal Tahir, Muhammad Amir Mehmood:
CURE: Collection for Urdu Information Retrieval Evaluation and Ranking. - Hang Zhou, Dongdong Chen, Jing Liao, Weiming Zhang, Kejiang Chen, Xiaoyi Dong, Kunlin Liu, Gang Hua, Nenghai Yu:
LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud-based Deep Networks. - Shi Chen, Qin Li, Jianfeng Lu, Stephen J. Wright:
Manifold Learning and Nonlinear Homogenization. - Jia-Hong Huang, Chao-Han Huck Yang, Fangyu Liu, Meng Tian, Yi-Chieh Liu, Ting-Wei Wu, I-Hung Lin, Kang Wang, Hiromasa Morikawa, Hernghua Chang, Jesper Tegnér, Marcel Worring:
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. - Scott McLachlan, Lisa C. Webley:
Visualisation of Law and Legal Process: An Opportunity Missed. - Nikolaos Tselepidis, Jonas Kohler, Antonio Orvieto:
Two-Level K-FAC Preconditioning for Deep Learning. - Omid Taheri, Hassan Salarieh, Aria Alasti:
Human Leg Motion Tracking by Fusing IMUs and RGB Camera Data Using Extended Kalman Filter. - Unnikrishnan Menon, Anirudh Rajiv Menon, Atharva Hudlikar:
A Novel Chaotic System for Text Encryption Optimized with Genetic Algorithm. - Andrew Wagenmaker, Julian Katz-Samuels, Kevin G. Jamieson:
Experimental Design for Regret Minimization in Linear Bandits. - Kyo Takano:
FusiformNet: Extracting Discriminative Facial Features on Different Levels. - Basma Alharbi, Hind Alamro, Manal Alshehri, Zuhair Khayyat, Manal Kalkatawi, Inji Ibrahim Jaber, Xiangliang Zhang:
ASAD: A Twitter-based Benchmark Arabic Sentiment Analysis Dataset. - Xiang Deng, Zhongfei Zhang:
An Embarrassingly Simple Approach to Training Ternary Weight Networks. - Jason M. Pittman, Kyle Hoffpauir, Nathan Markle:
Primer - A Tool for Testing Honeypot Measures of Effectiveness. - Yaodong Yang, Jun Wang:
An Overview of Multi-Agent Reinforcement Learning from Game Theoretical Perspective. - Carlos Gómez-Rodríguez, Michalina Strzyz, David Vilares:
A Unifying Theory of Transition-based and Sequence Labeling Parsing. - Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton, Lisa C. Webley:
Lawmaps: Enabling Legal AI development through Visualisation of the Implicit Structure of Legislation and Lawyerly Process. - Martin Kerscher, Steffen Eger:
Vec2Sent: Probing Sentence Embeddings with Natural Language Generation. - Kevin J. Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin:
MixKD: Towards Efficient Distillation of Large-scale Language Models. - Yermek Kapushev, Anastasia Kishkun, Gonzalo Ferrer, Evgeny Burnaev:
Random Fourier Features based SLAM. - Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez:
Bracketing Encodings for 2-Planar Dependency Parsing. - Simon Ging, Mohammadreza Zolfaghari, Hamed Pirsiavash, Thomas Brox:
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning. - David Fridovich-Keil, Claire J. Tomlin:
Approximate Solutions to a Class of Reachability Games. - Guilherme Alves, Vaishnavi Bhargava, Miguel Couceiro, Amedeo Napoli:
Making ML models fairer through explanations: the case of LimeOut. - Shane Rozen-Levy, Daniel E. Koditschek:
Technical Report: A New Hopping Controller for Highly Dynamical Bipeds. - Mike Kasper, Fernando Nobre, Christoffer Heckman, Nima Keivan:
Unsupervised Metric Relocalization Using Transform Consistency Loss. - Ilana Segall, Alfred M. Bruckstein:
Broadcast Guidance of Agents in Deviated Linear Cyclic Pursuit. - Nasim Ferdosian, Sara Berri, Arsenia Chorti:
5G New Radio Resource Allocation Optimization for Heterogeneous Services. - Yansong Gao, Pratik Chaudhari:
An Information-Geometric Distance on the Space of Tasks. - Jon Ander Campos, Kyunghyun Cho, Arantxa Otegi, Aitor Soroa, Gorka Azkune, Eneko Agirre:
Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning. - Evgeny Dantsin, Alexander Wolpert:
Similarity Between Points in Metric Measure Spaces. - Henry Adams, Brittany Carr, Elin Farnell:
Support Vector Machines and Radon's Theorem. - Maxwell Forbes, Jena D. Hwang, Vered Shwartz, Maarten Sap, Yejin Choi:
Social Chemistry 101: Learning to Reason about Social and Moral Norms. - Guowei Cui, Wei Shuai, Xiaoping Chen:
Semantic Task Planning for Service Robots in Open World. - Joshua Mack, Ruben Purdy, Kris Rockowitz, Michael Inouye, Edward Richter, Spencer Valancius, Nirmal Kumbhare, Md Sahil Hassan, Kaitlin Lindsay Fair, John Mixter, Ali Akoglu:
RANC: Reconfigurable Architecture for Neuromorphic Computing. - Yixuan Wang, Dale McConachie, Dmitry Berenson:
Tracking Partially-Occluded Deformable Objects while Enforcing Geometric Constraints. - Peter Schrammel:
How Testable is Business Software? - Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo:
Synthesis of Discounted-Reward Optimal Policies for Markov Decision Processes Under Linear Temporal Logic Specifications. - Dietrich Trautmann:
Aspect-Based Argument Mining. - Evan S. Gawlik, Michael J. Holst, Martin W. Licht:
Local Finite Element Approximation of Sobolev Differential Forms. - Xing Han:
Transparent Interpretation with Knockouts. - Vasileios Vasilopoulos, Yiannis Kantaros, George J. Pappas, Daniel E. Koditschek:
Technical Report: Reactive Planning for Mobile Manipulation Tasks in Unexplored Semantic Environments. - Sheik Mohammad Mostakim Fattah, Athman Bouguettaya, Sajib Mistry:
Long-term IaaS Selection using Performance Discovery. - Eric B. Chin, N. Sukumar:
Scaled boundary cubature scheme for numerical integration over polytopes and curved solids. Part I: Two-dimensional domains. - Shu Jiang, Yu Wang, Longtao Lin, Weiman Lin, Yu Cao, Jinghao Miao, Qi Luo:
DRF: A Framework for High-Accuracy Autonomous Driving Vehicle Modeling. - Sina Sayyah Ensan, Swaroop Ghosh, Seyedhamidreza Motaman, Derek Weast:
Addressing Resiliency of In-Memory Floating Point Computation. - Dong-Hyun Seo, Baibhab Chatterjee, Sean Scott, Daniel J. Valentino, Dimitrios Peroulis, Shreyas Sen:
A Wearable CMOS Biosensor with 3 Designs of Energy-Resolution Scalable Time-Based Resistance to Digital Converter. - Konstantina Dritsa, Thodoris Sotiropoulos, Haris Skarpetis, Panos Louridas:
Search Engine Similarity Analysis: A Combined Content and Rankings Approach. - Guojun Wang, Bin Tian, Yachen Zhang, Long Chen, Dongpu Cao, Jian Wu:
Multi-View Adaptive Fusion Network for 3D Object Detection. - Nicole Radziwill, Graham Freeman:
Reframing the Test Pyramid for Digitally Transformed Organizations. - Giulia Guidi, Marquita Ellis, Aydin Buluç, Katherine A. Yelick, David E. Culler:
10 Years Later: Cloud Computing is Closing the Performance Gap. - Ugur Mengilli, Umut Caliskan, Zeynep Ozge Orhan, Volkan Patoglu:
Stability and Transparency in Series Elastic Actuation: A Two-Port Analysis. - Tadashi Okoshi, Wataru Sasaki, Hiroshi Kawane, Kota Tsubouchi:
NationalMood: Large-scale Estimation of People's Mood from Web Search Query and Mobile Sensor Data. - Muhammad A. Shah, Shikib Mehri, Tejas Srinivasan:
Reasoning Over History: Context Aware Visual Dialog. - Tommaso Buvoli:
Exponential Polynomial Time Integrators. - Tommaso Buvoli:
Constructing Polynomial Block Methods. - Byungju Kim, Junho Yim, Junmo Kim:
Highway Driving Dataset for Semantic Video Segmentation. - Chang Xu, Jun Wang, Yuqing Tang, Francisco Guzmán, Benjamin I. P. Rubinstein, Trevor Cohn:
Targeted Poisoning Attacks on Black-Box Neural Machine Translation. - Fajri Koto, Afshin Rahimi, Jey Han Lau, Timothy Baldwin:
IndoLEM and IndoBERT: A Benchmark Dataset and Pre-trained Language Model for Indonesian NLP. - Shuhao Gu, Yang Feng:
Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation. - Fajri Koto, Jey Han Lau, Timothy Baldwin:
Liputan6: A Large-scale Indonesian Dataset for Text Summarization. - Evangelia Spiliopoulou, Salvador Medina Maza, Eduard H. Hovy, Alexander G. Hauptmann:
Event-Related Bias Removal for Real-time Disaster Events. - Robert Frank, Jackson Petty:
Sequence-to-Sequence Networks Learn the Meaning of Reflexive Anaphora. - Guangyao Shi, Ishat E. Rabban, Pratap Tokekar:
Fast Biconnectivity Restoration in Multi-Robot Systems for Robust Communication Maintenance. - Xingyu Lei, Zhifang Yang, Junbo Zhao, Juan Yu:
Data-Driven Assisted Chance-Constrained Energy and Reserve Scheduling with Wind Curtailment. - Jia Jin Koay, Alexander Roustai, Xiaojin Dai, Dillon Burns, Alec Kerrigan, Fei Liu:
How Domain Terminology Affects Meeting Summarization Performance. - Nichelle'Le K. Carrington, Ian Dobson, Zhaoyu Wang:
Extracting resilience metrics from distribution utility data using outage and restore process statistics. - Lufei Gao, Ruisong Zhou, Changfeng Dong, Cheng Feng, Zhen Li, Xiang Wan, Li Liu:
Multi-Modal Active Learning for Automatic Liver Fibrosis Diagnosis based on Ultrasound Shear Wave Elastography. - Yuxin Huang, Liwei Lin, Xiangdong Wang, Hong Liu, Yueliang Qian, Min Liu, Kazushige Ouchi:
Learning generic feature representation with synthetic data for weakly-supervised sound event detection by inter-frame distance loss. - Sean MacAvaney, Sergey Feldman, Nazli Goharian, Doug Downey, Arman Cohan:
ABNIRML: Analyzing the Behavior of Neural IR Models. - Frank Xiao:
Time Series Forecasting with Stacked Long Short-Term Memory Networks. - Jiapeng Liu, Xiao Zhang, Dan Goldwasser, Xiao Wang:
Cross-Lingual Document Retrieval with Smooth Learning. - Rafael C. Pinto:
Fast Reinforcement Learning with Incremental Gaussian Mixture Models. - Xiao Zhang, Dan Goldwasser:
Semi-supervised Autoencoding Projective Dependency Parsing. - Sheng Lei, Alexander J. Flueck:
Multistep Frequency Response Optimized Integrators and Their Application to Accelerating a Power System Transient Simulation Scheme. - Kanishka Ganguly, Behzad Sadrfaridpour, Krishna Bhavithavya Kidambi, Cornelia Fermüller, Yiannis Aloimonos:
Grasping in the Dark: Compliant Grasping using Shadow Dexterous Hand and BioTac Tactile Sensor. - Richard Tran Mills, Mark F. Adams, Satish Balay, Jed Brown, Alp Dener, Matthew G. Knepley, Scott E. Kruger, Hannah Morgan, Todd S. Munson, Karl Rupp, Barry F. Smith, Stefano Zampini, Hong Zhang, Junchao Zhang:
Toward Performance-Portable PETSc for GPU-based Exascale Systems. - Sangdon Park, Shuo Li, Osbert Bastani, Insup Lee:
PAC Confidence Predictions for Deep Neural Network Classifiers. - Hongyuan Mei, Tom Wan, Jason Eisner:
Noise-Contrastive Estimation for Multivariate Point Processes. - Song Fang, Quanyan Zhu:
Fundamental Limits of Obfuscation for Linear Gaussian Dynamical Systems: An Information-Theoretic Approach. - Guido De Luca, Carlos Luna:
Towards a certified reference monitor of the Android 10 permission system. - Keval Doshi, Yasin Yilmaz:
Road Damage Detection using Deep Ensemble Learning. - Ka Chun Lam, Ho Law, Lok Ming Lui:
CNN-Driven Quasiconformal Model for Large Deformation Image Registration. - Sergey Alyaev, Reidar Brumer Bratvold, Sofija Ivanova, Andrew Holsaeter, Morten Bendiksen:
An interactive sequential-decision benchmark from geosteering. - Beixiong Zheng, Changsheng You, Rui Zhang:
Efficient Channel Estimation for Double-IRS Aided Multi-User MIMO System. - Qingjie Meng, Jacqueline Matthew, Veronika A. Zimmer, Alberto Gómez, David F. A. Lloyd, Daniel Rueckert, Bernhard Kainz:
Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging. - Kaiji Lu, Zifan Wang, Piotr Mardziel, Anupam Datta:
Abstracting Influence Paths for Explaining (Contextualization of) BERT Models. - Kai Ma, Peng Wan, Daoqiang Zhang:
Transport based Graph Kernels. - Hang Le, Juan Miguel Pino, Changhan Wang, Jiatao Gu, Didier Schwab, Laurent Besacier:
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation. - Ilkin Safarli, Youjia Zhou, Bei Wang:
Interpreting Graph Drawing with Multi-Agent Reinforcement Learning. - Penghang Liu, Ahmet Erdem Sariyüce:
Characterizing and Utilizing the Interplay Between Core and Truss Decompositions. - Jukka Ruohonen:
A Critical Correspondence on Humpty Dumpty's Funding for European Journalism. - Sarkar Snigdha Sarathi Das, Subangkar Karmaker Shanto, Masum Rahman, Md. Saiful Islam, Atif Rahman, Mohammad Mehedy Masud, Mohammed Eunus Ali:
BayesBeat: A Bayesian Deep Learning Approach for Atrial Fibrillation Detection from Noisy Photoplethysmography Data. - Hoang Thanh-Tung, Truyen Tran:
Toward a Generalization Metric for Deep Generative Models. - Joanne Taery Kim, Sehoon Ha:
Observation Space Matters: Benchmark and Optimization Algorithm. - David Samuel, Milan Straka:
ÚFAL at MRP 2020: Permutation-invariant Semantic Parsing in PERIN. - Shuhang Zhang, Hongliang Zhang, Boya Di, Yunhua Tan, Marco Di Renzo, Zhu Han, H. Vincent Poor, Lingyang Song:
Intelligent Omni-Surface: Ubiquitous Wireless Transmission by Reflective-Transmissive Metasurface. - Jungwoo Lim, Dongsuk Oh, Yoonna Jang, Kisu Yang, Heuiseok Lim:
I Know What You Asked: Graph Path Learning using AMR for Commonsense Reasoning. - Aditi Chaudhary, Antonios Anastasopoulos, Zaid Sheikh, Graham Neubig:
Reducing Confusion in Active Learning for Part-Of-Speech Tagging. - Feng Cen, Xiaoyu Zhao, Wuzhuang Li, Guanghui Wang:
Deep Feature Augmentation for Occluded Image Classification. - Liang Ding, Longyue Wang, Di Wu, Dacheng Tao, Zhaopeng Tu:
Context-Aware Cross-Attention for Non-Autoregressive Translation. - Jae-Jin Jeon, Eesung Kim:
Multitask Learning and Joint Optimization for Transformer-RNN-Transducer Speech Recognition. - Ashish Ranjan, Varun Nagesh Jolly Behera, Motahar Reza:
Using a Bi-directional LSTM Model with Attention Mechanism trained on MIDI Data for Generating Unique Music. - Pengfei Fang, Pan Ji, Lars Petersson, Mehrtash Harandi:
Set Augmented Triplet Loss for Video Person Re-Identification. - Ruo Ando, Yoshiyasu Takefuji:
A Curious New Result of Resolution Strategies in Negation-Limited Inverters Problem. - Yi Tang, Yuan Zhao, Wenyuan Li, Kaigui Xie, Juan Yu:
Incorporating Gas Pipeline Leakage Failure Modes in Risk Evaluation of Electricity-Gas Integrated Energy Systems. - Farhad Moghimifar, Lizhen Qu, Yue Zhuo, Mahsa Baktashmotlagh, Gholamreza Haffari:
COSMO: Conditional SEQ2SEQ-based Mixture Model for Zero-Shot Commonsense Question Answering. - Nghia Vuong, Hung Pham, Quang-Cuong Pham:
Learning Sequences of Manipulation Primitives for Robotic Assembly. - Chao-Wei Huang, Yun-Nung Chen:
Adapting Pretrained Transformer to Lattices for Spoken Language Understanding. - Abhinav Sharma, Advait Deshpande, Yanming Wang, Xinyi Xu, Prashan Madumal, Anbin Hou:
Searching k-Optimal Goals for an Orienteering Problem on a Specialized Graph with Budget Constraints. - Tingle Li, Yichen Liu, Chenxu Hu, Hang Zhao:
CVC: Contrastive Learning for Non-parallel Voice Conversion. - Tobias Schlagenhauf, Yefeng Xia, Jürgen Fleischer:
Context-based Image Segment Labeling (CBISL). - Jianhua Yang, Yan Huang, Kai Niu, Zhanyu Ma, Liang Wang:
Actor and Action Modular Network for Text-based Video Segmentation. - Shang-Fu Chen, Jia-Wei Yan, Ya-Fan Su, Yu-Chiang Frank Wang:
Deep Representation Decomposition for Feature Disentanglement. - Yang Zhao, Hao Zhang:
A topological approach to exploring convolutional neural networks. - Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang:
Cooperative Heterogeneous Deep Reinforcement Learning. - Eyke Hüllermeier, Marcel Wever, Eneldo Loza Mencía, Johannes Fürnkranz, Michael Rapp:
A Flexible Class of Dependence-aware Multi-Label Loss Functions. - Ruining Deng, Quan Liu, Shunxing Bao, Aadarsh Jha, Catie Chang, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo:
CaCL: Class-aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns. - Zhuang Li, Lizhen Qu, Gholamreza Haffari:
Context Dependent Semantic Parsing: A Survey. - Fei Liu, Zihan Li, Yunhai Han, Jingpei Lu, Florian Richter, Michael C. Yip:
Real-to-Sim Registration of Deformable Soft Tissue with Position-Based Dynamics for Surgical Robot Autonomy. - Nicolas Turpault, Romain Serizel, Scott Wisdom, Hakan Erdogan, John R. Hershey, Eduardo Fonseca, Prem Seetharaman, Justin Salamon:
Sound Event Detection and Separation: a Benchmark on Desed Synthetic Soundscapes. - Zhongfen Deng, Hao Peng, Congying Xia, Jianxin Li, Lifang He, Philip S. Yu:
Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation. - Scott Wisdom, Hakan Erdogan, Daniel P. W. Ellis, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Justin Salamon, Prem Seetharaman, John R. Hershey:
What's All the FUSS About Free Universal Sound Separation Data? - Pei Wang, Sihan Zhang, Qingteng Zhao, Jun Wu, Qiuguo Zhu:
Search-based Kinodynamic Motion Planning for Omnidirectional Quadruped Robots. - Kaushal Bhogale:
Data-free Knowledge Distillation for Segmentation using Data-Enriching GAN. - Dimitris Fotakis, Alkis Kalavasis, Konstantinos Stavropoulos:
Aggregating Incomplete and Noisy Rankings. - Viktor Bengs, Eyke Hüllermeier:
Multi-Armed Bandits with Censored Consumption of Resources. - Shichuan Deng:
Fault-Tolerant Center Problems with Robustness and Fairness. - Yoan Russac, Louis Faury, Olivier Cappé, Aurélien Garivier:
Self-Concordant Analysis of Generalized Linear Bandits with Forgetting. - Yaping Chen, Yangyu Kuang, Huazhong Tang:
Second-order accurate BGK schemes for the special relativistic hydrodynamics with the Synge equation of state. - Laurent Decreusefond, Guillaume Moroz:
Optimal transport between determinantal point processes and application to fast simulation. - Zhenliang Ma, Haris N. Koutsopoulos:
Near-on-Demand Mobility. The Benefits of User Flexibility for Ride-Pooling Services. - Haiyan Yin, Yingzhen Li, Sinno Jialin Pan, Cheng Zhang, Sebastian Tschiatschek:
Reinforcement Learning with Efficient Active Feature Acquisition. - Zihao Wang, Chen Lin, Lu Sheng, Junjie Yan, Jing Shao:
PV-NAS: Practical Neural Architecture Search for Video Recognition. - Marc Mezzarobba:
Rounding Error Analysis of Linear Recurrences Using Generating Series. - George Medina, Akashdeep Singh Jida, Sravan Kumar Pulipati, Rohith Talwar, Nancy Amala, Tareq Y. Al-Naffouri, Arjuna Madanayake, Mohammed Eltayeb:
Millimeter-Wave Antenna Array Diagnosis with Partial Channel State Information. - Jorge Peña Queralta, Li Qingqing, Fabrizio Schiano, Tomi Westerlund:
VIO-UWB-Based Collaborative Localization and Dense Scene Reconstruction within Heterogeneous Multi-Robot Systems. - Andreas Orthey, Marc Toussaint:
Sparse Multilevel Roadmaps on Fiber Bundles for High-Dimensional Motion Planning. - Daniel Hershcovich, Nathan Schneider, Dotan Dvir, Jakob Prange, Miryam de Lhoneux, Omri Abend:
Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics. - Pranav Mani, E. S. Gopi, Koushik Kumaran, Hrishikesh Shekhar, Sharan Chandra:
Ant Colony Inspired Machine Learning Algorithm for Identifying and Emulating Virtual Sensors. - Cecilia Ostertag, Marie Beurton-Aimar, Muriel Visani, Thierry Urruty, Karell Bertet:
Predicting Brain Degeneration with a Multimodal Siamese Neural Network. - Loe M. G. Feijs:
Analyzing the Structure of Mondrian's 1920-1940 Compositions. - Xingang Pan, Bo Dai, Ziwei Liu, Chen Change Loy, Ping Luo:
Do 2D GANs Know 3D Shape? Unsupervised 3D shape reconstruction from 2D Image GANs. - Mahesh Chandra:
On the Impact of Partial Sums on Interconnect Bandwidth and Memory Accesses in a DNN Accelerator. - Yuchen Zhao, Hanyang Liu, Honglin Li, Payam M. Barnaghi, Hamed Haddadi:
Semi-supervised Federated Learning for Activity Recognition. - Daniele Castellana, Davide Bacciu:
Learning from Non-Binary Constituency Trees via Tensor Decomposition. - Yuma Murakawa, Takashi Hikihara:
Output Series-Parallel Connection of Passivity-Based Controlled DC-DC Converters: Theoretical Generalization of Stability. - Ivan V. Kozitsin:
Opinion Dynamics of Online Social Network Users: A Micro-Level Analysis. - Rahul Radhakrishnan Iyer, Praveenkumar Kanumala, Stephen D. Guo, Kannan Achan:
An End-to-End ML System for Personalized Conversational Voice Models in Walmart E-Commerce. - Benjamin Murray, Eric Kerfoot, Mark S. Graham, Carole H. Sudre, Erika Molteni, Liane S. Canas, Michela Antonelli, Alessia Visconti, Andrew T. Chan, Paul W. Franks, Richard Davies, Jonathan Wolf, Tim D. Spector, Claire J. Steves, Marc Modat, Sébastien Ourselin:
Accessible Data Curation and Analytics for International-Scale Citizen Science Datasets. - Diptarka Chakraborty, Debarati Das, Robert Krauthgamer:
Approximating the Median under the Ulam Metric. - Dóra Babicz, Soma Kontár, Márk Peto, András Fülöp, Gergely Szabó, András Horváth:
Receptive Field Size Optimization with Continuous Time Pooling. - Mohammad Rouhani, Matthieu Fradet, Caroline Baillard:
Efficient texture mapping via a non-iterative global texture alignment. - Bernd Prünster, Alexander Marsalek, Thomas Zefferer:
Total Eclipse of the Heart - Disrupting the InterPlanetary File System. - Berkay Köprü, Engin Erzin:
Multimodal Continuous Emotion Recognition using Deep Multi-Task Learning with Correlation Loss. - Xinyu Huang, Yuting Fang, Adam Noel, Nan Yang:
Membrane Fusion-Based Transmitter Design for Molecular Communication Systems. - Leyla Sadighi, Sadaf Salehkalaibar, Stefano Rini:
On Sum Secure Degrees of Freedom for K-User MISO Broadcast Channel With Alternating CSIT. - Yaoyiran Li, Edoardo Maria Ponti, Ivan Vulic, Anna Korhonen:
Emergent Communication Pretraining for Few-Shot Machine Translation. - Yuting Fu, Andrei Sergeevich Terechko, Jan Friso Groote, Arash Khabbaz Saberi:
A Formally Verified Fail-Operational Safety Concept for Automated Driving. - Yi Yuan, Gan Zheng, Kai-Kit Wong, Björn E. Ottersten, Zhi-Quan Luo:
Transfer Learning and Meta Learning Based Fast Downlink Beamforming Adaptation. - Tuan-Phong Nguyen, Simon Razniewski, Gerhard Weikum:
Advanced Semantics for Commonsense Knowledge Extraction. - Dan Ling, Huazhong Tang:
A physical-constraints-preserving genuinely multidimensional HLL scheme for the special relativistic hydrodynamics. - In Seop Na, Chung Tran, Dung Nguyen, Sang Dinh:
Facial UV Map Completion for Pose-invariant Face Recognition: A Novel Adversarial Approach based on Coupled Attention Residual UNets. - Josefine Holm, Anders E. Kalør, Federico Chiariotti, Beatriz Soret, Søren Kejser Jensen, Torben Bach Pedersen, Petar Popovski:
Freshness on Demand: Optimizing Age of Information for the Query Process. - Robin Jess Williams, Pablo Ramírez-Espinosa, Elisabeth de Carvalho, Thomas L. Marzetta:
Multiuser MIMO with Large Intelligent Surfaces: Communication Model and Transmit Design. - Rahul Chakwate, Arulkumar Subramaniam, Anurag Mittal:
MARNet: Multi-Abstraction Refinement Network for 3D Point Cloud Analysis. - Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
Maximum Likelihood Estimation in Data-Driven Modeling and Control. - Feicheng Huang, Zhixin Li, Haiyang Wei, Canlong Zhang, Huifang Ma:
Boost Image Captioning with Knowledge Reasoning. - Andrea Bontempelli, Stefano Teso, Fausto Giunchiglia, Andrea Passerini:
Learning in the Wild with Incremental Skeptical Gaussian Processes. - Nico Engel, Vasileios Belagiannis, Klaus Dietmayer:
Point Transformer. - Shu-Cun Li, Huazhong Tang:
Three discontinuous Galerkin methods for one- and two-dimensional nonlinear Dirac equations with a scalar self-interaction. - Yue Guan, Jingwen Leng, Chao Li, Quan Chen, Minyi Guo:
How Far Does BERT Look At: Distance-based Clustering and Analysis of BERT's Attention. - Yan Zhang, Ivor W. Tsang, Hongzhi Yin, Guowu Yang, Defu Lian, Jingjing Li:
Deep Pairwise Hashing for Cold-start Recommendation. - Jukka Ruohonen, Kalle Hjerppe:
The GDPR Enforcement Fines at Glance. - Ryuto Konno, Yuichiroh Matsubayashi, Shun Kiyono, Hiroki Ouchi, Ryo Takahashi, Kentaro Inui:
An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution. - Yan Zhang, Ivor W. Tsang, Lixin Duan:
Collaborative Generative Hashing for Marketing and Fast Cold-start Recommendation. - Kumar Shubham, Gopalakrishnan Venkatesh, Reijul Sachdev, Akshi, Dinesh Babu Jayagopi, G. Srinivasaraghavan:
Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation. - Froilán M. Dopico, Silvia Marcaida, María C. Quintana, Paul Van Dooren:
Block Full Rank Linearizations of Rational Matrices. - Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen:
Sampling-Decomposable Generative Adversarial Recommender. - Anton Smerdov, Bo Zhou, Paul Lukowicz, Andrey Somov:
Collection and Validation of Psycophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset. - Marius Mosbach, Stefania Degaetano-Ortlieb, Marie-Pauline Krielke, Badr M. Abdullah, Dietrich Klakow:
A Closer Look at Linguistic Knowledge in Masked Language Models: The Case of Relative Clauses in American English. - Izumi Haruta, Koji Mineshima, Daisuke Bekki:
Combining Event Semantics and Degree Semantics for Natural Language Inference. - Yann Disser, David Weckbecker:
Unified greedy approximability beyond submodular maximization. - Oliver Karras, Svenja Polst, Kathleen Späth:
Using Vision Videos in a Virtual Focus Group: Experiences and Recommendations. - Shweta Mahajan, Stefan Roth:
Diverse Image Captioning with Context-Object Split Latent Spaces. - Joep Hamersma, Marc J. van Kreveld, Yushi Uno, Tom C. van der Zanden:
Gourds: a sliding-block puzzle with turning. - Tongzhou Mu, Jiayuan Gu, Zhiwei Jia, Hao Tang, Hao Su:
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals. - Dominique Fohr, Irina Illina:
DNN-Based Semantic Model for Rescoring N-best Speech Recognition List. - Wen Huang, Shijie Zhou, Tianqing Zhu, Yongjian Liao:
the Connection between Cryptography and Differential Privacy: a Survey. - Monika Henzinger, Pan Peng:
Constant-Time Dynamic Weight Approximation for Minimum Spanning Forest. - Benjamin Biggs, Sébastien Ehrhardt, Hanbyul Joo, Benjamin Graham, Andrea Vedaldi, David Novotný:
3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data. - Lingxiao Huang, K. Sudhir, Nisheeth K. Vishnoi:
Coresets for Regressions with Panel Data. - Tobias Winkler, Johannes Lehmann, Joost-Pieter Katoen:
Out of Control: Reducing Probabilistic Models by Control-State Elimination. - Aristides Dasso, Ana Funes, Daniel Riesco, German Montejano:
Computing Power, Key Length and Cryptanalysis. An Unending Battle? - JuYoung Yang, Chanho Lee, Pyunghwan Ahn, Haeil Lee, Eojindl Yi, Junmo Kim:
PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud Segmentation. - Saumya Kumaar, Ye Lyu, Francesco Nex, Michael Ying Yang:
CABiNet: Efficient Context Aggregation Network for Low-Latency Semantic Segmentation. - Isaac Johnson:
Analyzing Wikidata Transclusion on English Wikipedia. - Mitt Shah, Nandit Pujara:
A Review On Software Defects Prediction Methods. - Steven Weber:
The 2020s Political Economy of Machine Translation. - Hal Ashton:
Causal Campbell-Goodhart's law and Reinforcement Learning. - Berk Kapicioglu, Ramiz Iqbal, Tarik Koc, Louis Nicolas Andre, Katharina Sophia Volz:
Chess2vec: Learning Vector Representations for Chess. - Advait Parulekar, Soumya Basu, Aditya Gopalan, Karthikeyan Shanmugam, Sanjay Shakkottai:
Stochastic Linear Bandits with Protected Subspace. - Monika Henzinger, Stefan Neumann, Harald Räcke, Stefan Schmid:
Tight Bounds for Online Graph Partitioning. - Mathilde Brousmiche, Stéphane Dupont, Jean Rouat:
AVECL-UMONS database for audio-visual event classification and localization. - (Withdrawn) Depth Ranging Performance Evaluation and Improvement for RGB-D Cameras on Field-Based High-Throughput Phenotyping Robots.
- Peter A. Wijeratne, Daniel C. Alexander:
Learning transition times in event sequences: the Event-Based Hidden Markov Model of disease progression. - Chen Chen, Wenshao Zhong, Xingbo Wu:
Flexible File Address Space Management. - Ashkan Kazemi, Verónica Pérez-Rosas, Rada Mihalcea:
Biased TextRank: Unsupervised Graph-Based Content Extraction. - Seongcheol Baek, Hiroyasu Ando, Takashi Hikihara:
Decentralized Algorithms for Consensus-Based Power Packet Distribution. - M. Bigdeli, E. De Negri, M. M. Dizdarevic, Elisa Gorla, R. Minko, S. Tsakou:
Semi-regular sequences and other random systems of equations. - Nikhil Fernandes, Alexandra Gkolia, Nicolas Pizzo, James H. Davenport, Akshar Nair:
Unification of HDP and LDA Models for Optimal Topic Clustering of Subject Specific Question Banks. - Sebastian Frischbier, Mario Paic, Alexander Echler, Christian Roth:
Poster: A Real-World Distributed Infrastructure for Processing Financial Data at Scale. - Raunak Sinha, Utkarsh Desai, Srikanth Tamilselvam, Senthil Mani:
Evaluation of Siamese Networks for Semantic Code Search. - Gernot Herbst:
Transfer Function Analysis and Implementation of Active Disturbance Rejection Control. - Nan Lin, Yuxuan Li, Yujun Zhu, Ruolin Wang, Xiayu Zhang, Jianmin Ji, Keke Tang, Xiaoping Chen, Xinming Zhang:
NEARL: Non-Explicit Action Reinforcement Learning for Robotic Control. - Yong Yu:
AI Chiller: An Open IoT Cloud Based Machine Learning Framework for the Energy Saving of Building HVAC System via Big Data Analytics on the Fusion of BMS and Environmental Data. - Elisa Gorla, Daniela Müller, Christophe Petit:
Stronger bounds on the cost of computing Groebner bases for HFE systems. - Gokhan Alcan, Ville Kyrki:
Differential Dynamic Programming with Nonlinear Safety Constraints Under System Uncertainties. - Ricardo Luna Gutierrez, Matteo Leonetti:
Information-theoretic Task Selection for Meta-Reinforcement Learning. - Basel Alhaji, Andreas Rausch, Michael Prilla:
Toward Mutual Trust Modeling in Human-Robot Collaboration. - Thomas Schlögl, Ulrich Schmid, Roman Kuznets:
The Persistence of False Memory: Brain in a Vat Despite Perfect Clocks. - Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, Akiko Aizawa:
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps. - Luyao Xu, Ming Chen, Mingzhe Chen, Zhaohui Yang, Christina Chaccour, Walid Saad, Choong Seon Hong:
Joint Location and Power Optimization for THz-enabled UAV Communications. - Jaswin, Indrawanto:
Application of Kalker Theory of Rolling Contact for Dynamic Simulation of Mobile Robots. - Philip Amortila, Nan Jiang, Tengyang Xie:
A Variant of the Wang-Foster-Kakade Lower Bound for the Discounted Setting. - Håkon Hukkelås, Frank Lindseth, Rudolf Mester:
Image Inpainting with Learnable Feature Imputation. - Robin Ruede, Verena Heusser, Lukas Frank, Alina Roitberg, Monica Haurilet, Rainer Stiefelhagen:
Multi-Task Learning for Calorie Prediction on a Novel Large-Scale Recipe Dataset Enriched with Nutritional Information. - Andrea Bonito, Diane Guignard, Ricardo H. Nochetto, Shuo Yang:
LDG approximation of large deformations of prestrained plates. - Martín Bertrán, Natalia Martínez, Mariano Phielipp, Guillermo Sapiro:
Instance based Generalization in Reinforcement Learning. - Chengshuai Shi, Cong Shen:
On No-Sensing Adversarial Multi-player Multi-armed Bandits with Collision Communications. - Alberto Castillo, Pedro García:
Predicting the future state of disturbed LTI systems: A solution based on high-order observers. - Rishab Balasubramanian, Lifeng Zhou, Pratap Tokekar, P. B. Sujit:
Risk-Aware Submodular Optimization for Multi-objective Travelling Salesperson Problem. - Javad Zarrin, Phang Hao Wen, Lakshmi Babu Saheer, Bahram Zarrin:
Blockchain for Decentralization of Internet: Prospects, Trends, and Challenges. - Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa, Carlos Segura:
Enabling Zero-shot Multilingual Spoken Language Translation with Language-Specific Encoders and Decoders. - Yuxi Xie, Liangming Pan, Dongzhe Wang, Min-Yen Kan, Yansong Feng:
Exploring Question-Specific Rewards for Generating Deep Questions. - Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi, Enrico Motta:
Generating Knowledge Graphs by Employing Natural Language Processing and Machine Learning Techniques within the Scholarly Domain. - Shiwei Zeng, Jie Shen:
Learning Halfspaces with Pairwise Comparisons: Breaking the Barriers of Query Complexity via Crowd Wisdom. - Shuochao Yao, Yifan Hao, Yiran Zhao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher:
Scheduling Real-time Deep Learning Services as Imprecise Computations. - Mhd Wesam Al-Nabki, Eduardo Fidalgo, Enrique Alegre, Rocío Alaíz-Rodríguez:
Short Text Classification Approach to Identify Child Sexual Exploitation Material. - Prateek Manocha, Prithwijit Guha:
Facial Keypoint Sequence Generation from Audio. - Charles-Edouard Bréhier, David Cohen:
Strong rates of convergence of a splitting scheme for Schrödinger equations with nonlocal interaction cubic nonlinearity and white noise dispersion. - Ekaterina I. Tolstaya, James Paulos, Vijay Kumar, Alejandro Ribeiro:
Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks. - Fangwen Shu, Paul Lesur, Yaxu Xie, Alain Pagani, Didier Stricker:
SLAM in the Field: An Evaluation of Monocular Mapping and Localization on Challenging Dynamic Agricultural Environment. - Craig Innes, Subramanian Ramamoorthy:
ProbRobScene: A Probabilistic Specification Language for 3D Robotic Manipulation Environments. - Sayak Mukherjee, Thanh Long Vu:
Reinforcement Learning of Structured Control for Linear Systems with Unknown State Matrix. - Jingxi Chen, Amrish Baskaran, Zhongshun Zhang, Pratap Tokekar:
Multi-Agent Reinforcement Learning for Persistent Monitoring. - Ruizhe Li, Xiao Li, Guanyi Chen, Chenghua Lin:
Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation. - Suphan Kirmizialtin, David Joseph Wrisley:
Automated Transcription of Non-Latin Script Periodicals: A Case Study in the Ottoman Turkish Print Archive. - Alessandra Marli M. Morais, Didier A. Vega-Oliveros, Moshé Cotacallapa, Leonardo Nascimento Ferreira, Elbert E. N. Macau, Marcos G. Quiles:
Dynamic Community Detection into Analyzing of Wildfires Events. - Paul Voigtlaender, Lishu Luo, Chun Yuan, Yong Jiang, Bastian Leibe:
Reducing the Annotation Effort for Video Object Segmentation Datasets. - Efthymios Tzinis, Scott Wisdom, Aren Jansen, Shawn Hershey, Tal Remez, Daniel P. W. Ellis, John R. Hershey:
Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds. - Zahra Ebrahimi, Salim Ullah, Akash Kumar:
SIMDive: Approximate SIMD Soft Multiplier-Divider for FPGAs with Tunable Accuracy. - Grigori Fursin:
Collective Knowledge: organizing research projects as a database of reusable components and portable workflows with common APIs. - Ashish Shrivastava, Arnav Kundu, Chandra Dhir, Devang Naik, Oncel Tuzel:
Optimize what matters: Training DNN-HMM Keyword Spotting Model Using End Metric. - Bob Wei, Mengye Ren, Wenyuan Zeng, Ming Liang, Bin Yang, Raquel Urtasun:
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving. - Seid Muhie Yimam, Abinew Ali Ayele, Gopalakrishnan Venkatesh, Chris Biemann:
Introducing various Semantic Models for Amharic: Experimentation and Evaluation with multiple Tasks and Datasets. - Ting-Yao Hu, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Stefan Braun, Kyuyeon Hwang, Ozlem Kalinli, Oncel Tuzel:
SapAugment: Learning A Sample Adaptive Policy for Data Augmentation. - Xinyi Li, Lin Yuan, Longin Jan Latecki, Haibin Ling:
Pushing the Envelope of Rotation Averaging for Visual SLAM. - Yousef Emam, Gennaro Notomista, Paul Glotfelter, Magnus Egerstedt:
Data-Driven Adaptive Task Allocation for Heterogeneous Multi-Robot Teams Using Robust Control Barrier Functions. - Ammar Shaker, Francesco Alesiani, Shujian Yu, Wenzhe Yin:
Bilevel Continual Learning. - Frederik Kunstner, Raunak Kumar, Mark Schmidt:
Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent. - Rabab Alkhalifa, Arkaitz Zubiaga:
QMUL-SDS @ SardiStance: Leveraging Network Interactions to Boost Performance on Stance Detection using Knowledge Graphs. - Ryan Sheatsley, Nicolas Papernot, Michael J. Weisman, Gunjan Verma, Patrick D. McDaniel:
Adversarial Examples in Constrained Domains. - Mohamed Mejri, Aymen Mejri:
RandomForestMLP: An Ensemble-Based Multi-Layer Perceptron Against Curse of Dimensionality. - Mohamad H. Danesh:
Reducing Neural Network Parameter Initialization Into an SMT Problem. - David Pujol, Yikai Wu, Brandon Fain, Ashwin Machanavajjhala:
Budget Sharing for Multi-Analyst Differential Privacy. - Brihi Joshi, Neil Shah, Francesco Barbieri, Leonardo Neves:
The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks. - Valentyn M. Yanchuk, Andrii G. Tkachuk, Dmitry S. Antoniuk, Tetiana A. Vakaliuk, Anna A. Humeniuk:
Mathematical simulation of package delivery optimization using a combination of carriers. - Jeffrey Li, Vaishnavh Nagarajan, Gregory Plumb, Ameet Talwalkar:
A Learning Theoretic Perspective on Local Explainability. - Rudolf Ferenc, István Siket, Péter Hegedüs, Róbert Rajkó:
Employing Partial Least Squares Regression with Discriminant Analysis for Bug Prediction. - Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Siwei Ma, Ming-Hsuan Yang:
Continuous and Diverse Image-to-Image Translation via Signed Attribute Vectors. - Erhan Bayraktar, Ibrahim Ekren, Xin Zhang:
Prediction against limited adversary. - Zhaowei She, Zilong Wang, Turgay Ayer, Asmae Toumi, Jagpreet Chhatwal:
Estimating County-Level COVID-19 Exponential Growth Rates Using Generalized Random Forests. - Zicun Cong, Lingyang Chu, Yu Yang, Jian Pei:
Comprehensible Counterfactual Interpretation on Kolmogorov-Smirnov Test. - Yue Zhang, Yajie Zou, Jinjun Tang, Jian Liang:
A Lane-Changing Prediction Method Based on Temporal Convolution Network. - Shelby Smith, Chaitanya K. Baru:
NSF Convergence Approach to Transition Basic Research into Practice. - Frank Cangialosi, Akshay Narayan, Prateesh Goyal, Radhika Mittal, Mohammad Alizadeh, Hari Balakrishnan:
Site-to-Site Internet Traffic Control. - Jordan Jueckstock, Peter Snyder, Shaown Sarker, Alexandros Kapravelos, Benjamin Livshits:
There's No Trick, Its Just a Simple Trick: A Web-Compat and Privacy Improving Approach to Third-party Web Storage. - (Withdrawn) Modular-Relatedness for Continual Learning.
- Simon Niklaus, Long Mai, Oliver Wang:
Revisiting Adaptive Convolutions for Video Frame Interpolation. - Jingyan Zhang, Siu Wun Cheung:
Analysis of Non-local Multicontinuum Upscaling for Dual Continuum Model. - Jason S. Hartford, Kevin Leyton-Brown, Hadas Raviv, Dan Padnos, Shahar Lev, Barak Lenz:
Exemplar Guided Active Learning. - Bin Han, Michelle Michelle, Yau Shu Wong:
Dirac Assisted Tree Method for 1D Heterogeneous Helmholtz Equations with Arbitrary Variable Wave Numbers. - Paniz Behboudian, Yash Satsangi, Matthew E. Taylor, Anna Harutyunyan, Michael Bowling:
Useful Policy Invariant Shaping from Arbitrary Advice. - Yuchen Wu, Melissa Mozifian, Florian Shkurti:
Shaping Rewards for Reinforcement Learning with Imperfect Demonstrations using Generative Models. - Yaoyao Ding, Ligeng Zhu, Zhihao Jia, Gennady Pekhimenko, Song Han:
IOS: Inter-Operator Scheduler for CNN Acceleration. - Nicholas Quek Wei Kiat, Duo Wang, Mateja Jamnik:
Pairwise Relations Discriminator for Unsupervised Raven's Progressive Matrices. - Luke Melas-Kyriazi:
The Mathematical Foundations of Manifold Learning. - Ganesh Jawahar, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan:
Automatic Detection of Machine Generated Text: A Critical Survey. - Shinhoo Kang, Tan Bui-Thanh:
A scalable exponential-DG approach for nonlinear conservation laws: with application to Burger and Euler equations. - Peter Xenopoulos, Harish Doraiswamy, Cláudio T. Silva:
Valuing Player Actions in Counter-Strike: Global Offensive. - Brian B., William Fleshman, Kevin H., Ryan Kaliszewski, Shawn R:
Deception and the Strategy of Influence. - Bao Huynh, Haimonti Dutta, Dane Taylor:
Impact of Community Structure on Consensus Machine Learning. - Pablo V. A. Barros, Ana Tanevska, Özge Nilay Yalçin, Alessandra Sciutti:
Incorporating Rivalry in Reinforcement Learning for a Competitive Game. - Rubén Aylwin, Carlos Jerez-Hanckes:
The effect of quadrature rules on finite element solutions of Maxwell variational problems. Consistency estimates on meshes with straight and curved elements. - Denis Korolkov, Stepan Rakhimov:
Essential Scattering Applications for Everyone. Overview. - Feiran Jia, Kai Zhou, Charles A. Kamhoua, Yevgeniy Vorobeychik:
Blocking Adversarial Influence in Social Networks. - Kailai Xu, Weiqiang Zhu, Eric Darve:
Distributed Machine Learning for Computational Engineering using MPI. - Mohammad Mahdi Mahvari, Mari Kobayashi, Abdellatif Zaidi:
On the Relevance-Complexity Region of Scalable Information Bottleneck. - Yuheng Wang, Wen Jie Zhao, Jiahui Xu, Raymond Hong:
Recyclable Waste Identification Using CNN Image Recognition and Gaussian Clustering. - Kenny Chen, Alexandra Pogue, Brett Thomas Lopez, Ali-akbar Agha-mohammadi, Ankur Mehta:
Unsupervised Monocular Depth Learning with Integrated Intrinsics and Spatio-Temporal Constraints. - Shreyas Fadnavis, Joshua Batson, Eleftherios Garyfallidis:
Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning. - Shuo Yang, Gerry Chen, Yetong Zhang, Frank Dellaert, Howie Choset:
Equality Constrained Linear Optimal Control With Factor Graphs. - Feicheng Wang, Lucas Janson:
Exact Asymptotics for Linear Quadratic Adaptive Control. - Martin Grohe, Daniel Neuen:
Recent Advances on the Graph Isomorphism Problem. - Narasimha Raghavan Veeraragavan, Kaiwen Zhang:
A position paper on GDPR compliance in sharded blockchains: rehash of old ideas or new interesting challenges? - Nikolajs Skuratovs, Michael Davies:
Compressed Sensing with Upscaled Vector Approximate Message Passing. - Yuting Li, Christoforos N. Hadjicostis, Naiqi Wu, Zhiwu Li:
Error- and Tamper-Tolerant State Estimation for Discrete Event Systems under Cost Constraints. - Dennis Wei:
Optimal Policies for the Homogeneous Selective Labels Problem. - Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry:
Cortex: A Compiler for Recursive Deep Learning Models. - Litao Yu, Jian Zhang, Qiang Wu:
Dual Attention on Pyramid Feature Maps for Image Captioning. - Jonah Siekmann, Yesh Godse, Alan Fern, Jonathan W. Hurst:
Sim-to-Real Learning of All Common Bipedal Gaits via Periodic Reward Composition. - Litao Yu, Yongsheng Gao, Jun Zhou, Jian Zhang:
Parameter Efficient Deep Neural Networks with Bilinear Projections. - Yunpeng Weng, Xu Chen, Liang Chen, Wei Liu:
GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs. - Sergio Caucao, Tongtong Li, Ivan Yotov:
A multipoint stress-flux mixed finite element method for the Stokes-Biot model. - Danilo H. Perico, Paulo E. Santos, Reinaldo A. C. Bianchi:
Guided Navigation from Multiple Viewpoints using Qualitative Spatial Reasoning. - Beliz Gunel, Jingfei Du, Alexis Conneau, Ves Stoyanov:
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning. - Haolin Zhang, Dongfang Yang, Ekim Yurtsever, Keith A. Redmill, Ümit Özgüner:
Faraway-Frustum: Dealing with Lidar Sparsity for 3D Object Detection using Fusion. - Majed El Helou, Sabine Süsstrunk:
BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration. - Celeste Barnaby, Koushik Sen, Tianyi Zhang, Elena L. Glassman, Satish Chandra:
Exempla Gratis (E.G.): Code Examples for Free. - Tao Li, Quan Qiu, Chunjiang Zhao:
Hybrid Visual Servoing Tracking Control of Uncalibrated Robotic Systems for Dynamic Dwarf Culture Orchards Harvest. - (Withdrawn) Multi-level Forwarding and Scheduling Recovery Algorithm in Rapidly-changing Network for Erasure-coded Clusters.
- Siheng Chen, Maosen Li, Ya Zhang:
Sampling and Recovery of Graph Signals based on Graph Neural Networks. - Julia Nitsch, Masha Itkina, Ransalu Senanayake, Juan I. Nieto, Max Schmidt, Roland Siegwart, Mykel J. Kochenderfer, Cesar Cadena:
Out-of-Distribution Detection for Automotive Perception. - Li Sun, Haoqi Zhang, Songyang Zhang, Jiebo Luo:
Content-based Analysis of the Cultural Differences between TikTok and Douyin. - Hong Liu, Jeff Z. HaoChen, Colin Wei, Tengyu Ma:
Meta-learning Transferable Representations with a Single Target Domain. - Weidong Wang, Wangda Luo:
Heartbeat Diagnosis of Performance Anomaly in OpenMP Multi-Threaded Systems. - Md. Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang:
WSL-DS: Weakly Supervised Learning with Distant Supervision for Query Focused Multi-Document Abstractive Summarization. - Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos:
GAGE: Geometry Preserving Attributed Graph Embeddings. - Guo-Hua Wang, Yifan Ge, Jianxin Wu:
In Defense of Feature Mimicking for Knowledge Distillation. - Hiromi Yasuda, Kyle Johnson, Vicente Arroyos, Koshiro Yamaguchi, Jordan R. Raney, Jinkyu Yang:
Leaf-like Origami with Bistability for Self-Adaptive Grasping Motions. - Jiacheng Wang, Yue Ma, Shuang Gao:
Self-semi-supervised Learning to Learn from NoisyLabeled Data. - Gaurab Banerjee, Samuel Spinner, Yasmine Mitchell:
"You eat with your eyes first": Optimizing Yelp Image Advertising. - Marco Molinaro:
Robust Algorithms for Online Convex Problems via Primal-Dual. - Minho Kim, Doyoung Jeong, Hyoungwoo Choi, Yongil Kim:
Developing High Quality Training Samples for Deep Learning Based Local Climate Classification in Korea. - Jun Gao, Wenzheng Chen, Tommy Xiang, Clement Fuji Tsang, Alec Jacobson, Morgan McGuire, Sanja Fidler:
Learning Deformable Tetrahedral Meshes for 3D Reconstruction. - Xiaoyi Li:
A Scenario-Based Development Framework for Autonomous Driving. - Yuan Tang, Weiguo Gao:
Balanced Partitioning of Several Cache-Oblivious Algorithms. - Charupriya Sharma, Zhenyu A. Liao, James Cussens, Peter van Beek:
A Score-and-Search Approach to Learning Bayesian Networks with Noisy-OR Relations. - Tianyu Wang, Lin F. Yang, Zizhuo Wang:
Random Walk Bandits. - Mingdong Zhang, Li Chen, Xiaoru Yuan, Renpei Huang, Shuang Liu, Junhai Yong:
Visualization of Technical and Tactical Characteristics in Fencing. - Hu Hu, Chao-Han Huck Yang, Xianjun Xia, Xue Bai, Xin Tang, Yajian Wang, Shutong Niu, Li Chai, Juanjuan Li, Hongning Zhu, Feng Bao, Yuanjun Zhao, Sabato Marco Siniscalchi, Yannan Wang, Jun Du, Chin-Hui Lee:
A Two-Stage Approach to Device-Robust Acoustic Scene Classification. - Jiacheng Wang, Yong Fan, Duo Jiang, Shiqing Li:
Meta-Learning for Natural Language Understanding under Continual Learning Framework. - Xue-Jun Wang, Maura R. Grossman, Seung Gyu Hyun:
Participation in TREC 2020 COVID Track Using Continuous Active Learning. - Xianyi Cheng, Eric Huang, Yifan Hou, Matthew T. Mason:
Contact Mode Guided Sampling-Based Planning for Quasistatic Dexterous Manipulation in 2D. - Shutian Liu, Tao Li, Quanyan Zhu:
Communication-Efficient Distributed Machine Learning over Strategic Networks: A Two-Layer Game Approach. - Tongtao Zhang, Biswadip Dey, Pratik Kakkar, Arindam Dasgupta, Amit Chakraborty:
Frequency-compensated PINNs for Fluid-dynamic Design Problems. - Thippa Reddy Gadekallu, Manoj M. K, Sivarama Krishnan S, Neeraj Kumar, Saqib Hakak, Sweta Bhattacharya:
Blockchain based Attack Detection on Machine Learning Algorithms for IoT based E-Health Applications. - Lin Mu, Xiu Ye, Shangyou Zhang:
A stabilizer free, pressure robust, and superconvergence weak Galerkin finite element method for the Stokes Equations on polytopal mesh. - Danish Pruthi, Bhuwan Dhingra, Graham Neubig, Zachary C. Lipton:
Weakly- and Semi-supervised Evidence Extraction. - Yan Jia, Zexin Cai, Murong Ma, Zeqing Zhao, Xuyang Wang, Junjie Wang, Ming Li:
Training Wake Word Detection with Synthesized Speech Data on Confusion Words. - Beibei Lin, Shunli Zhang, Xin Yu, Zedong Chu, Haikun Zhang:
Learning Effective Representations from Global and Local Features for Cross-View Gait Recognition. - Zhibin Li, Litao Yu, Jian Zhang:
Distribution-aware Margin Calibration for Medical Image Segmentation. - Liya Wang, Panta Lucic, Keith Campbell, Craig Wanke:
Autoencoding Features for Aviation Machine Learning Problems. - Manoj M. K, Gautam Srivastava, Siva Rama Krishnan Somayaji, Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta, Sweta Bhattacharya:
An Incentive Based Approach for COVID-19 using Blockchain Technology. - Ashish Kumar, Karan Sehgal, Prerna Garg, Vidhya Kamakshi, Narayanan C. Krishnan:
MACE: Model Agnostic Concept Extractor for Explaining Image Classification Networks. - Siva Rama Krishnan Somayaji, Mamoun Alazab, Manoj M. K, Antonio Bucchiarone, Chiranji Lal Chowdhary, Thippa Reddy Gadekallu:
A Framework for Prediction and Storage of Battery Life in IoT Devices using DNN and Blockchain. - Jing Wang, Anna Choromanska:
SGB: Stochastic Gradient Bound Method for Optimizing Partition Functions. - Guangyao Shi, Ishat E. Rabban, Lifeng Zhou, Pratap Tokekar:
Communication-Aware Multi-robot Coordination with Submodular Maximization. - Chong Peng, Qian Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Kernel Two-Dimensional Ridge Regression for Subspace Clustering. - Qiang Wang, Changliang Li, Yue Zhang, Tong Xiao, Jingbo Zhu:
Layer-Wise Multi-View Learning for Neural Machine Translation. - Tianjian Chen, Tianyi Zhang, Matei T. Ciocarlie:
Design Paradigms Based on Spring Agonists for Underactuated Robot Hands: Concepts and Application. - Nitish K. Panigrahy, Thirupathaiah Vasantam, Prithwish Basu, Don Towsley:
Proximity Based Load Balancing Policies on Graphs: A Simulation Study. - Deeksha Sinha, Karthik Abinav Sankararama, Abbas Kazerouni, Vashist Avadhanula:
Multi-armed Bandits with Cost Subsidy. - Samer Nofal, Amani Abu Jabal, Abdullah Alfarrarjeh, Ismail Omar Hababeh:
Formal Validation of Recursive Backtracking Algorithms: The Case of Listing Stable Extensions in the Directed Graphs of Argumentation Frameworks. - Tianshuang Gao, Shashwata Mandal, Sourabh Bhattacharya:
Planning for Aerial Robot Teams for Wide-Area Biometric and Phenotypic Data Collection. - Zhen-Chen Guo, Eric King-Wah Chu, Xin Liang, Wen-Wei Lin:
Decoupled Structure-Preserving Doubling Algorithm with Truncation for Large-Scale Algebraic Riccati Equations. - Mingdong Zhang, Li Chen, Quan Li, Xiaoru Yuan, Junhai Yong:
Uncertainty-Oriented Ensemble Data Visualization and Exploration using Variable Spatial Spreading. - Sagarika Sharma, Sujit Rai, Narayanan C. Krishnan:
Wheat Crop Yield Prediction Using Deep LSTM Model. - Harsh Patel:
BioNerFlair: biomedical named entity recognition using flair embedding and sequence tagger. - Rajat Sharma, Nikhil Reddy, Vidhya Kamakshi, Narayanan C. Krishnan, Shweta Jain:
MAIRE - A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers. - Bochao Wang, Hang Xu, Jiajin Zhang, Chen Chen, Yixing Xu, Xiaozhi Fang, Ning Kang, Lanqing Hong, Chenhan Jiang, Xinyue Cai, Jiawei Li, Fengwei Zhou, Yong Li, Zhicheng Liu, Xinghao Chen, Kai Han, Han Shu, Dehua Song, Yunhe Wang, Wei Zhang, Chunjing Xu, Zhenguo Li, Wenzhi Liu, Tong Zhang:
VEGA: Towards an End-to-End Configurable AutoML Pipeline. - Fangtian Zhong, Xiuzhen Cheng, Dongxiao Yu, Bei Gong, Shuaiwen Song, Jiguo Yu:
MalFox: Camouflaged Adversarial Malware Example Generation Based on C-GANs Against Black-Box Detectors. - Peiming Li, Lifeng Xie, Jianping Yao, Jie Xu, Shuguang Cui, Ping Zhang:
Asymmetric Interference Cancellation for 5G Non-Public Network with Uplink-Downlink Spectrum Sharing. - Lili Wang, Ying Lu, Chenghan Huang, Soroush Vosoughi:
Embedding Node Structural Role Identity into Hyperbolic Space. - Wentao Ma, Yiming Cui, Chenglei Si, Ting Liu, Shijin Wang, Guoping Hu:
CharBERT: Character-aware Pre-trained Language Model. - Shitong Zhu, Shasha Li, Zhongjie Wang, Xun Chen, Zhiyun Qian, Srikanth V. Krishnamurthy, Kevin S. Chan, Ananthram Swami:
You Do (Not) Belong Here: Detecting DPI Evasion Attacks with Context Learning. - Shen Chen:
ShaneRun System Description to VoxCeleb Speaker Recognition Challenge 2020. - Denis Tomè, Thiemo Alldieck, Patrick Peluse, Gerard Pons-Moll, Lourdes Agapito, Hernán Badino, Fernando De la Torre:
SelfPose: 3D Egocentric Pose Estimation from a Headset Mounted Camera. - Bas Kieft, S. Hassan HosseinNia, Niranjan Saikumar:
Time regularization as a solution to mitigate quantization induced performance degradation. - Venkatraman Renganathan, Navid Hashemi, Justin Ruths, Tyler H. Summers:
Higher-Order Moment-Based Anomaly Detection. - Wolfgang Bauer, Natalia Kryvinska, Jürgen Dorn:
Model of Trust Management for Digital Industry Services. Towards E-Commerce 4.0. - Yonghong Hao, Qiumei Huang, Cheng Wang:
A third order BDF energy stable linear scheme for the no-slope-selection thin film model. - Khemraj Shukla, Jesse Chan, Maarten V. de Hoop:
A high order discontinuous Galerkin method for the symmetric form of the anisotropic viscoelastic wave equation. - Atreyee Kundu:
A note on the existence of stabilizing switching signals for switched linear systems. - Wenyuan Ma, Wei Wang, Tao Jiang:
Joint Energy Harvest and Information Transfer for Energy Beamforming in Backscatter Multiuser Networks. - Netalee Efrat, Max Bluvstein, Shaul Oron, Dan Levi, Noa Garnett, Bat El Shlomo:
3D-LaneNet+: Anchor Free Lane Detection using a Semi-Local Representation. - Tharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov:
TransQuest: Translation Quality Estimation with Cross-lingual Transformers. - Durgesh Singh, Arpan Chattopadhyay, Sasthi C. Ghosh:
Local Relay Selection in Presence of Dynamic Obstacles in Millimeter Wave D2D Communication. - Samurdhi Karunaratne, Enes Krijestorac, Danijela Cabric:
Penetrating RF Fingerprinting-based Authentication with a Generative Adversarial Attack. - Tao Bai, Jinqi Luo, Jun Zhao:
Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks. - Murat Uzunca, Süleyman Yildiz, Bülent Karasözen:
Structure-preserving reduced order modelling of thermal shallow water equation. - Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa:
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach. - Bosheng Ding, Linlin Liu, Lidong Bing, Canasai Kruengkrai, Thien Hai Nguyen, Shafiq R. Joty, Luo Si, Chunyan Miao:
DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks. - Marie-Therese Khoury, Andreas Orthey, Marc Toussaint:
Efficient Sampling of Transition Constraints for Motion Planning under Sliding Contacts. - Kazuaki Tanaka:
Numerical verification method for positive solutions of elliptic problems. - Tomer Ezra, Michal Feldman, Nick Gravin, Zhihao Gavin Tang:
Secretary Matching with General Arrivals. - Andong Li, Chengshi Zheng, Renhua Peng, Xiaodong Li:
Two Heads Are Better Than One: A Two-Stage Approach for Monaural Noise Reduction in the Complex Domain. - Xuanhong Chen, Bingbing Ni, Naiyuan Liu, Ziang Liu, Yiliu Jiang, Loc Truong, Qi Tian:
CooGAN: A Memory-Efficient Framework for High-Resolution Facial Attribute Editing. - Marek Chalupa, David Klaska, Jan Strejcek, Lukás Tomovic:
Fast Computation of Strong Control Dependencies. - Yue Wang, Jing Li, Michael R. Lyu, Irwin King:
Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings. - Tianyu Wang, Lin F. Yang:
Episodic Linear Quadratic Regulators with Low-rank Transitions. - João Silvério, Sylvain Calinon:
A Laser-based Dual-arm System for Precise Control of Collaborative Robots. - Anne Lauscher, Rafik Takieddin, Simone Paolo Ponzetto, Goran Glavas:
AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings. - Mohamadreza Ahmadi, Xiaobin Xiong, Aaron D. Ames:
Risk-Sensitive Path Planning via CVaR Barrier Functions: Application to Bipedal Locomotion. - Hao Liao, Qi-Xin Liu, Kai Shu, Xing Xie:
Incorporating User-Comment Graph for Fake News Detection. - Chenyan Xiong, Zhenghao Liu, Si Sun, Zhuyun Dai, Kaitao Zhang, Shi Yu, Zhiyuan Liu, Hoifung Poon, Jianfeng Gao, Paul Bennett:
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search. - Marius Beul, Sven Behnke:
Trajectory Generation with Fast Lidar-based 3D Collision Avoidance for Agile MAVs. - Guy Blanc, Neha Gupta, Jane Lange, Li-Yang Tan:
Estimating decision tree learnability with polylogarithmic sample complexity. - Lily Ng, Anne Lauscher, Joel R. Tetreault, Courtney Napoles:
Creating a Domain-diverse Corpus for Theory-based Argument Quality Assessment. - Petra Heck, Gerard Schouten:
Turning Software Engineers into AI Engineers. - Juan Maroñas, Oliver Hamelijnck, Jeremias Knoblauch, Theodoros Damoulas:
Transforming Gaussian Processes With Normalizing Flows. - Laura Oberländer, Kevin Reich, Roman Klinger:
Experiencers, Stimuli, or Targets: Which Semantic Roles Enable Machine Learning to Infer the Emotions? - Xiang Wang, Yuanjie Wang, Wenjuan Yin, Fang-Wei Fu:
Nonexistence of perfect permutation codes under the Kendall τ-metric. - N. Annamalai, C. Durairajan:
Codes from the Incidence Matrices of a zero-divisor Graphs. - René Schuster, Christian Unger, Didier Stricker:
A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions. - Tommaso Buvoli, Michael L. Minion:
IMEX Parareal Integrators. - Ivan Yanchin, Oleg Petrov:
An approach to measure route quality and refine the route during the voyage using characteristic coefficients. - Sabah Al-Fedaghi:
Towards Conceptual Modeling Semantics: Eventizing Tarski's Truth Schema. - Emily Öhman, Marc Pàmies, Kaisla Kajava, Jörg Tiedemann:
XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection. - Chen Wen Kang, Chua Meng Hong, Tomás Maul:
Towards a Universal Gating Network for Mixtures of Experts. - Corbèn Poot, Andreas van Cranenburgh:
A Benchmark of Rule-Based and Neural Coreference Resolution in Dutch Novels and News. - Yonghao Long, Jie Ying Wu, Bo Lu, Yueming Jin, Mathias Unberath, Yun-Hui Liu, Pheng-Ann Heng, Qi Dou:
Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery. - Xiaodong Wei, Benjamin Marussig, Pablo Antolin, Annalisa Buffa:
Immersed Boundary-Conformal Isogeometric Method for Linear Elliptic Problems. - Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor W. Tsang:
Learning on Attribute-Missing Graphs. - Andreas van Cranenburgh, Corina Koolen:
Results of a Single Blind Literary Taste Test with Short Anonymized Novel Fragments. - Tom Heskes, Evi Sijben, Ioan Gabriel Bucur, Tom Claassen:
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models. - Rishi Ranjan Singh:
Centrality Measures: A Tool to Identify Key Actors in Social Networks. - Chems-Eddine Himeur, Thibault Lejemble, Thomas Pellegrini, Mathias Paulin, Loic Barthe, Nicolas Mellado:
PCEDNet : A Neural Network for Fast and Efficient Edge Detection in 3D Point Clouds. - Vandana Rajan, Alessio Brutti, Andrea Cavallaro:
Robust Latent Representations via Cross-Modal Translation and Alignment. - António Sá Pinto, Inês Domingues, Matthew E. P. Davies:
Shift If You Can: Counting and Visualising Correction Operations for Beat Tracking Evaluation. - Yanhao Yang, Pan Shi, Yuyi Wang, Kun He:
Quadratic Optimization based Clique Expansion for Overlapping Community Detection. - Omar Zahra, David Navarro-Alarcon, Silvia Tolu:
Vision-Based Control for Robots by a Fully Spiking Neural System Relying on Cerebellar Predictive Learning. - Juan Quintero, Zinaida Benenson:
Understanding Usability and User Acceptance of Usage-Based Insurance from Users' View. - Ivona Zakarija, Frano Skopljanac-Macina, Bruno Blaskovic:
Automated simulation and verification of process models discovered by process mining. - Giorgio Camerani:
The Long, the Short and the Random. - Takumi Kawashima, Qing Yu, Akari Asai, Daiki Ikami, Kiyoharu Aizawa:
The Aleatoric Uncertainty Estimation Using a Separate Formulation with Virtual Residuals. - Riccardo Aragona, Roberto Civino:
On the primitivity of Lai-Massey schemes. - Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens:
Towards a Unified Quadrature Framework for Large-Scale Kernel Machines. - Christian Berger, Hans P. Reiser, João Sousa, Alysson Bessani:
AWARE: Adaptive Wide-Area Replication for Fast and Resilient Byzantine Consensus. - Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Xiangrong Zeng, Shengping Liu:
Joint Entity and Relation Extraction with Set Prediction Networks. - Shifei Chen, Ali Basirat:
Cross-lingual Word Embeddings beyond Zero-shot Machine Translation. - Vitaly Petrov, Thomas Kürner, Iwao Hosako:
IEEE 802.15.3d: First Standardization Efforts for Sub-Terahertz Band Communications towards 6G. - João M. Ceron, Christian Scholten, Aiko Pras, Elmer Lastdrager, Jair Santanna:
Characterising attacks targeting low-cost routers: a MikroTik case study (Extended). - Zdenek Kasner, Ondrej Dusek:
Data-to-Text Generation with Iterative Text Editing. - Anton Schäfer, Nils Blach, Oliver Rausch, Maximilian Warm, Nils Krüger:
Towards Automated Anamnesis Summarization: BERT-based Models for Symptom Extraction. - Seán Mullery, Paul F. Whelan:
A spatial hue similarity measure for assessment of colourisation. - Annette Rios, Mathias Müller, Rico Sennrich:
Subword Segmentation and a Single Bridge Language Affect Zero-Shot Neural Machine Translation. - Haotian Zhang, Yuhao Wang, Jianyong Sun, Zongben Xu:
Amortized Variational Deep Q Network. - Julien Balian, Raffaele Tavarone, Mathieu Poumeyrol, Alice Coucke:
Small footprint Text-Independent Speaker Verification for Embedded Systems. - Guang Lin, Jianhai Zhang, Yuxi Liu:
Single Shot Reversible GAN for BCG artifact removal in simultaneous EEG-fMRI. - Haoqian Zhang, Cristina Basescu, Bryan Ford:
Economic Principles of PoPCoin, a Democratic Time-based Cryptocurrency. - Moritz Scherer, Georg Rutishauser, Lukas Cavigelli, Luca Benini:
CUTIE: Beyond PetaOp/s/W Ternary DNN Inference Acceleration with Better-than-Binary Energy Efficiency. - Sage Hahn, Dekang Yuan, Wesley K. Thompson, Max M. Owens, Nicholas A. Allgaier, Hugh Garavan:
Brain Predictability toolbox: a Python library for neuroimaging based machine learning. - Giuseppe Antonio Pierro, Roberto Tonelli, Michele Marchesi:
Smart-Corpus: an Organized Repository of Ethereum Smart Contracts Source Code and Metrics. - Vincent Valton, Toby Wise, Oliver J. Robinson:
Recommendations for Bayesian hierarchical model specifications for case-control studies in mental health. - Markus Anders, Pascal Schweitzer:
Search Problems in Trees with Symmetries: near optimal traversal strategies for individualization-refinement algorithms. - Georgina Montserrat Reséndiz-Benhumea, Ekaterina Sangati, Tom Froese:
Levels of Coupling in Dyadic Interaction: An Analysis of Neural and Behavioral Complexity. - Fredrik Johansson:
Calcium: computing in exact real and complex fields. - Gulcin Baykal, Furkan Ozcelik, Gözde B. Ünal:
Exploring DeshuffleGANs in Self-Supervised Generative Adversarial Networks. - Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Kaiyuan Li, Yushuo Chen, Yujie Lu, Hui Wang, Changxin Tian, Xingyu Pan, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen:
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. - Gerta Rücker:
Comment on 'Open is not forever: a study of vanished open access journals'. - Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters:
Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning. - Dániel Nagy, Lambert Plavecz, Ferenc Hegedüs:
Solving large number of non-stiff, low-dimensional ordinary differential equation systems on GPUs and CPUs: performance comparisons of MPGOS, ODEINT and DifferentialEquations.jl. - Julian Krebs, Hervé Delingette, Nicholas Ayache, Tommaso Mansi:
Learning a Generative Motion Model from Image Sequences based on a Latent Motion Matrix. - Ana Fernández-Guillamón, Emilio Gómez-Lázaro, Ángel Molina-García:
Extensive frequency response and inertia analysis under high renewable energy source integration scenarios: application to the European interconnected power system. - Anubhav Shrimal, Tanmoy Chakraborty:
Attention Beam: An Image Captioning Approach. - Huajie Shao, Zhisheng Xiao, Shuochao Yao, Aston Zhang, Shengzhong Liu, Tarek F. Abdelzaher:
ControlVAE: Tuning, Analytical Properties, and Performance Analysis. - Frederick Morlock, Dingsu Wang:
MAD-VAE: Manifold Awareness Defense Variational Autoencoder. - Markus Wulfmeier, Arunkumar Byravan, Tim Hertweck, Irina Higgins, Ankush Gupta, Tejas Kulkarni, Malcolm Reynolds, Denis Teplyashin, Roland Hafner, Thomas Lampe, Martin A. Riedmiller:
Representation Matters: Improving Perception and Exploration for Robotics. - Maurice Frank, Maximilian Ilse:
Problems using deep generative models for probabilistic audio source separation. - Chen Wu, Xian Yang, Sencun Zhu, Prasenjit Mitra:
Mitigating Backdoor Attacks in Federated Learning. - Ishay Haviv:
The Complexity of Finding Fair Independent Sets in Cycles. - Yuanzhe Geng, Erwu Liu, Rui Wang, Yiming Liu:
Deep Reinforcement Learning Based Dynamic Route Planning for Minimizing Travel Time.