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ORCIDCoRR, October 2022
- A. Borkovic, Michael H. Gfrerer, Benjamin Marussig:
Geometrically exact isogeometric Bernoulli-Euler beam based on the Frenet-Serret frame. - Marcel Matha, Karsten Kucharczyk, Christian Morsbach
:
Evaluation of physics constrained data-driven methods for turbulence model uncertainty quantification. - Fengwen Wang, Ole Sigmund:
Architecting materials for extremal stiffness, yield and buckling strength. - Yash Jakhotiya, Heramb Patil, Jugal Rawlani:
Adversarial Attacks on Transformers-Based Malware Detectors. - Daniel Fortunato:
A high-order fast direct solver for surface PDEs. - Siddhartha Banerjee, Sean R. Sinclair, Milind Tambe, Lily Xu, Christina Lee Yu:
Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits. - Jacob King, William E. Ryan, Richard D. Wesel:
CRC-Aided Short Convolutional Codes and RCU Bounds for Orthogonal Signaling. - Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman, Osbert Bastani, Vikash Kumar, Amy Zhang:
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training. - Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron Musco:
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs. - Goetz Graefe, Thanh Do:
Offset-value coding in database query processing. - Kevin Xia, Yushu Pan, Elias Bareinboim:
Neural Causal Models for Counterfactual Identification and Estimation. - Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis:
Differentially Private Bias-Term only Fine-tuning of Foundation Models. - Koresh Khateri, Karthik Soma, Mahdi Pourgholi, Mohsen Montazeri, Lorenzo Sabattini, Giovanni Beltrame:
A Complete Set of Connectivity-aware Local Topology Manipulation Operations for Robot Swarms. - Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis:
Differentially Private Optimization on Large Model at Small Cost. - Bart Kieboom, Matin Jafarian:
Utility of the Koopman operator in output regulation of disturbed nonlinear systems. - Babatunji Omoniwa, Boris Galkin, Ivana Dusparic:
Communication-Enabled Multi-Agent Decentralised Deep Reinforcement Learning to Optimise Energy-Efficiency in UAV-Assisted Networks. - Malvina Nikandrou, Lu Yu, Alessandro Suglia, Ioannis Konstas, Verena Rieser:
Task Formulation Matters When Learning Continually: A Case Study in Visual Question Answering. - Yao Zhao, Misha Khalman, Rishabh Joshi, Shashi Narayan, Mohammad Saleh, Peter J. Liu:
Calibrating Sequence likelihood Improves Conditional Language Generation. - Jan Christoph Schlegel, Akaki Mamageishvili:
Axioms for Constant Function AMMs. - Jeremy A. Collins, Patrick Grady, Charles C. Kemp:
Force/Torque Sensing for Soft Grippers using an External Camera. - Reza Nasirigerdeh, Javad Torkzadehmahani, Daniel Rueckert, Georgios Kaissis:
Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning. - Saeid Asgari Taghanaki, Aliasghar Khani, Fereshte Khani, Ali Gholami, Linh Tran, Ali Mahdavi-Amiri, Ghassan Hamarneh:
MaskTune: Mitigating Spurious Correlations by Forcing to Explore. - Gino A. Chacon, Charles Williams, Johann Knechtel, Ozgur Sinanoglu, Paul V. Gratz:
Hardware Trojan Threats to Cache Coherence in Modern 2.5D Chiplet Systems. - Mohammad Al-Quraan, Ahsan Raza Khan, Anthony Centeno, Ahmed Zoha, Muhammad Ali Imran, Lina S. Mohjazi:
FedTrees: A Novel Computation-Communication Efficient Federated Learning Framework Investigated in Smart Grids. - Pouya Bashivan, Adam Ibrahim, Amirozhan Dehghani, Yifei Ren:
Learning Robust Kernel Ensembles with Kernel Average Pooling. - Donghan Yu, Sheng Zhang, Patrick Ng, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Yiqun Hu, William Wang, Zhiguo Wang, Bing Xiang:
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases. - Nihal V. Nayak, Ethan R. Elenberg, Clemens Rosenbaum:
CEREAL: Few-Sample Clustering Evaluation. - Zheng Cao, Raymond Guo, Caesar M. Tuguinay, Mark Pock, Jiayi Gao, Ziyu Wang:
Application of Deep Q Learning with Stimulation Results for Elevator Optimization. - Victor Zhong, Jesse Mu, Luke Zettlemoyer, Edward Grefenstette, Tim Rocktäschel:
Improving Policy Learning via Language Dynamics Distillation. - Naman Shah, Siddharth Srivastava:
Multi-Task Option Learning and Discovery for Stochastic Path Planning. - Julius von Rohrscheidt, Bastian Rieck:
TOAST: Topological Algorithm for Singularity Tracking. - Abid Hossain Khan, Salauddin Omar, Nadia Mushtary, Richa Verma, Dinesh Kumar, Syed B. Alam:
Digital Twin and Artificial Intelligence Incorporated With Surrogate Modeling for Hybrid and Sustainable Energy Systems. - M. Rahman, Abid Khan, Sayeed Anowar, Md. Al Imran, Richa Verma, Dinesh Kumar, Kazuma Kobayashi, Syed B. Alam:
Leveraging Industry 4.0 - Deep Learning, Surrogate Model and Transfer Learning with Uncertainty Quantification Incorporated into Digital Twin for Nuclear System. - Zhao Han, Tom Williams, Holly A. Yanco:
Mixed-Reality Robot Behavior Replay: A System Implementation. - Venkatraman Renganathan, Anders Rantzer, Olle Kjellqvist:
Distributed Implementation of Minimax Adaptive Controller For Finite Set of Linear Systems. - Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang:
Contrastive Graph Few-Shot Learning. - Junhyung Lee, Junho Koh, Youngwoo Lee, Jun Won Choi:
D-Align: Dual Query Co-attention Network for 3D Object Detection Based on Multi-frame Point Cloud Sequence. - Dimitris Papatheodoulou, Pavlos Pavlou, Stelios G. Vrachimis, Kleanthis Malialis, Demetrios G. Eliades, Theocharis Theocharides:
A Multi-label Time Series Classification Approach for Non-intrusive Water End-Use Monitoring. - Oswin So, Gongjie Li, Evangelos A. Theodorou, Molei Tao:
Data-driven discovery of non-Newtonian astronomy via learning non-Euclidean Hamiltonian. - Raviteja Vemulapalli, Warren Richard Morningstar, Philip Andrew Mansfield, Hubert Eichner, Karan Singhal, Arash Afkanpour, Bradley Green:
Federated Training of Dual Encoding Models on Small Non-IID Client Datasets. - Pengfei Zheng, Rui Pan, Tarannum Khan, Shivaram Venkataraman, Aditya Akella:
Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning. - Amin Ghiasi, Ali Shafahi, Reza Ardekani:
Adaptive Weight Decay: On The Fly Weight Decay Tuning for Improving Robustness. - Simon Diemert, Jens H. Weber:
Safety-Critical Adaptation in Self-Adaptive Systems. - Diulhio Candido de Oliveira, Bogdan Tomoyuki Nassu, Marco Aurélio Wehrmeister:
Image-Based Detection of Modifications in Gas Pump PCBs with Deep Convolutional Autoencoders. - Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah:
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization. - Phillip Schneider, Tim Schopf, Juraj Vladika, Mikhail Galkin, Elena Simperl, Florian Matthes:
A Decade of Knowledge Graphs in Natural Language Processing: A Survey. - Chris Lin, Hugh Chen, Chanwoo Kim, Su-In Lee:
Contrastive Corpus Attribution for Explaining Representations. - Tim Clifford, Ilia Shumailov, Yiren Zhao, Ross J. Anderson, Robert D. Mullins:
ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks. - Ashley D. Ross, Ali Nejat, Virgie Greb:
Institutional Foundations of Adaptive Planning: Exploration of Flood Planning in the Lower Rio Grande Valley, Texas, USA. - Yulun Wu, Robert A. Barton, Zichen Wang, Vassilis N. Ioannidis, Carlo De Donno, Layne C. Price, Luis F. Voloch, George Karypis:
Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information. - Ruiqi Ni, Ahmed H. Qureshi:
NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning. - Yizhou Chen, Andrea Sipos, Mark Van der Merwe, Nima Fazeli:
Visuo-Tactile Transformers for Manipulation. - Peru Bhardwaj:
Adversarial Robustness of Representation Learning for Knowledge Graphs. - Pankaj K. Agarwal, Tzvika Geft, Dan Halperin, Erin Taylor:
Multi-Robot Motion Planning for Unit Discs with Revolving Areas. - Honglin Chen, Rundi Wu, Eitan Grinspun, Changxi Zheng, Peter Yichen Chen:
Implicit Neural Spatial Representations for Time-dependent PDEs. - Tianshu Ruan, Hao Wang, Rustam Stolkin, Manolis Chiou:
A Taxonomy of Semantic Information in Robot-Assisted Disaster Response. - Yili Ren, Jie Yang:
Robust Person Identification: A WiFi Vision-based Approach. - Amirhesam Badeanlou, Andrea Araldo, Marco Diana, Vincent Gauthier:
Equity Scores for Public Transit Lines from Open-Data and Accessibility Measures. - Jun Fang, Mingze Xu, Hao Chen, Bing Shuai, Zhuowen Tu, Joseph Tighe:
An In-depth Study of Stochastic Backpropagation. - Yunuo Chen, Minchen Li, Wenlong Lu, Chuyuan Fu, Chenfanfu Jiang:
Midas: A Multi-Joint Robotics Simulator with Intersection-Free Frictional Contact. - Emily McMilin:
Exploiting Selection Bias on Underspecified Tasks in Large Language Models. - Yizhou Zhao, Zhenyang Li, Xun Guo, Yan Lu:
Alignment-guided Temporal Attention for Video Action Recognition. - Xiaonan Li, Olivier Marin:
Towards Implementing ML-Based Failure Detectors. - Hojung Choi, Dane Brouwer, Michael A. Lin, Kyle T. Yoshida, Carine Rognon, Benjamin Stephens-Fripp, Allison M. Okamura, Mark R. Cutkosky:
Deep Learning Classification of Touch Gestures Using Distributed Normal and Shear Force. - Rahul Duggal, Shengyun Peng, Hao Zhou, Duen Horng Chau:
IMB-NAS: Neural Architecture Search for Imbalanced Datasets. - Rachel Thomasson, Etienne Roberge, Mark R. Cutkosky, Jean-Philippe Roberge:
Going In Blind: Object Motion Classification using Distributed Tactile Sensing for Safe Reaching in Clutter. - Sayma Sultana, Asif Kamal Turzo, Amiangshu Bosu:
Code Reviews in Open Source Projects : How Do Gender Biases Affect Participation and Outcomes? - Shashank Hegde, Gaurav S. Sukhatme:
Efficiently Learning Small Policies for Locomotion and Manipulation. - Silvan G. Viëtor, Jo W. Spronck, S. Hassan HosseinNia:
Tunable Magnets: modeling and validation for dynamic and precision applications. - Rosario Patanè, Andrea Araldo, Tijani Chahed, Diego Kiedanski, Daniel Kofman:
Coalitional Game-Theoretical Approach to Coinvestment with Application to Edge Computing. - Jerred Chen, Xiangcheng Hu, Shicong Ma, Jianhao Jiao, Ming Liu, Frank Dellaert:
FAST-LIO, Then Bayesian ICP, Then GTSFM. - Xiaoyi Cai, Michael Everett, Lakshay Sharma, Philip R. Osteen, Jonathan P. How:
Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments. - Han Pyo Lee, P. J. Rehm, Matthew Makdad, Edmond Miller, Ning Lu:
A Novel Data Segmentation Based Approach for Meter Topology Identification using Smart Meter Voltage and Power Measurements. - Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehgal, Ankit Peshin, Duen Horng Chau:
Explaining Website Reliability by Visualizing Hyperlink Connectivity. - Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang:
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning. - Yafei Wang, Wenjin Wang, Li You, Christos G. Tsinos, Shi Jin:
Weighted MMSE Precoding for Constructive Interference Region. - Jash Rathod, Nauman Dawalatabad, Shatrughan Singh, Dhananjaya Gowda:
Multi-stage Progressive Compression of Conformer Transducer for On-device Speech Recognition. - Dongyun Han, Donghoon Kim, Isaac Cho:
PORTAL: Portal Widget for Remote Target Acquisition and Control in Immersive Virtual Environments. - Jiaye Teng, Chuan Wen, Dinghuai Zhang, Yoshua Bengio, Yang Gao, Yang Yuan:
Predictive Inference with Feature Conformal Prediction. - Li Gu, Zhixiang Chi, Huan Liu, Yuanhao Yu, Yang Wang:
Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022. - Ali Abdullah S. AlQahtani, Hosam Alamleh, Baker Al Smadi:
Technical Report-IoT Devices Proximity Authentication In Ad Hoc Network Environment. - Michael Matena, Colin Raffel:
A Combinatorial Perspective on the Optimization of Shallow ReLU Networks. - Cheng Tang:
On the tightness of linear relaxation based robustness certification methods. - Qingyuan Li, Bo Zhang, Xiangxiang Chu:
EAPruning: Evolutionary Pruning for Vision Transformers and CNNs. - Azadeh Doroudchi, Zhi Qiao, Wenlong Zhang, Spring Berman:
Configuration Tracking Control of a Multi-Segment Soft Robotic Arm Using a Cosserat Rod Model. - Shu Chen, Yang Zhang, Yaxin Xu, Beiji Zou:
Structure-Aware NeRF without Posed Camera via Epipolar Constraint. - Zhenhailong Wang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen, Heng Ji:
Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks. - Kriti Dheerawat, Umme Salma M. Pirzada, H. R. Kataria:
Design of Economical Fuzzy Logic Controller for Washing Machine. - Holden Lee, Chirag Pabbaraju, Anish Prasad Sevekari, Andrej Risteski:
Pitfalls of Gaussians as a noise distribution in NCE. - Bowen Yi, Romeo Ortega, Jongwon Choi, Kwanghee Nam:
A high performance globally exponentially stable sensorless observer for the IPMSM: Theoretical and experimental results. - Boon Peng Yap, Beng-Koon Ng:
Cut-Paste Consistency Learning for Semi-Supervised Lesion Segmentation. - Ruihua Han, Shuai Wang, Shuaijun Wang, Zeqing Zhang, Qianru Zhang, Yonina C. Eldar, Qi Hao, Jia Pan:
RDA: An Accelerated Collision-free Motion Planner for Autonomous Navigation in Cluttered Environments. - Parker Riley, Timothy Dozat, Jan A. Botha, Xavier Garcia, Dan Garrette, Jason Riesa, Orhan Firat, Noah Constant:
FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation. - Mercedes Sandu, Shuyi Weng, Jade Zhang:
Closed cap condition under the cap construction algorithm. - Xiheng Wang:
Integrating Conventional Headway Control with Reinforcement Learning to Avoid Bus Bunching. - Sankhayan Mukherjee, Swapan Kumar Patra:
Digital Library Initiatives in North East India: A Survey. - Leilei Cui, Bo Pang, Zhong-Ping Jiang:
Learning-Based Adaptive Optimal Control of Linear Time-Delay Systems: A Policy Iteration Approach. - Chayan Banerjee, Zhiyong Chen, Nasimul Noman:
Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States. - Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar:
HyperHawkes: Hypernetwork based Neural Temporal Point Process. - Zirui Zhao, Wee Sun Lee, David Hsu:
Differentiable Parsing and Visual Grounding of Verbal Instructions for Object Placement. - Tristan Cazenave:
Nested Search versus Limited Discrepancy Search. - Xiaofei Huang, Hongfang Gong:
A Dual-Attention Learning Network with Word and Sentence Embedding for Medical Visual Question Answering. - Shuangrui Ding, Weidi Xie, Yabo Chen, Rui Qian, Xiaopeng Zhang, Hongkai Xiong, Qi Tian:
Motion-inductive Self-supervised Object Discovery in Videos. - Wenhao Ding, Qing He, Hanghang Tong, Qingjing Wang, Ping Wang:
Solving practical multi-body dynamics problems using a single neural operator. - Xu Yin, Dongbo Min, Yuchi Huo, Sung-Eui Yoon:
Contour-Aware Equipotential Learning for Semantic Segmentation. - Yujun Shi, Jian Liang, Wenqing Zhang, Vincent Y. F. Tan, Song Bai:
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning. - Kenneth Duru, Siyang Wang:
Stability analysis of the perfectly matched layer for the elastic wave equation in layered media. - Binghao Liu, Boyu Yang, Lingxi Xie, Ren Wang, Qi Tian, Qixiang Ye:
Learnable Distribution Calibration for Few-Shot Class-Incremental Learning. - Olga Martynova, Alexander Okhotin:
The maximum length of shortest accepted strings for direction-determinate two-way finite automata. - Richard Shute, Nick Lynch:
Software system rationalisation: How to get better outcomes through stronger user engagement. - Heba Aamer, Bart Bogaerts, Dimitri Surinx, Eugenia Ternovska, Jan Van den Bussche:
Executable First-Order Queries in the Logic of Information Flows. - Ahmed Zahloote, Al-hasan Saleh, Ayman Ghanem, Hiba Hasan, Asem Dreibaty, Ali Abodaraa, Nermeen Suleiman, Nour Naameh, Ali Ibrahim, Zeinab mahfoud:
An experimental study of algorithms for obtaining a singly connected subgraph. - Kuan Cheng, Shaofeng H.-C. Jiang, Luojian Wei, Zhide Wei:
On The Relative Error of Random Fourier Features for Preserving Kernel Distance. - Zehong Wang, Qi Li, Donghua Yu, Xiaolong Han, Xiao Zhi Gao, Shigen Shen:
Heterogeneous Graph Contrastive Multi-view Learning. - Leonid Kostrykin, Stefan Harmeling:
Blindly Deconvolving Super-noisy Blurry Image Sequences. - Denis Belomestny, John Schoenmakers:
Primal-dual regression approach for Markov decision processes with general state and action space. - Mohamed Boujoudar, Abdelaziz Beljadid, Ahmed Taik:
A new numerical treatment of soil heterogeneity for modeling unsaturated flow. - Héber Hwang Arcolezi, Carlos Pinzón, Catuscia Palamidessi, Sébastien Gambs:
Frequency Estimation of Evolving Data Under Local Differential Privacy. - Tiancheng Xie, Jiaheng Zhang, Zerui Cheng, Fan Zhang, Yupeng Zhang, Yongzheng Jia, Dan Boneh, Dawn Song:
zkBridge: Trustless Cross-chain Bridges Made Practical. - Xialei Liu, Yusong Hu, Xu-Sheng Cao, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng:
Long-Tailed Class Incremental Learning. - Yuhua Jiang, Feifei Gao, Wanmai Yuan:
RIS Design to Optimize the CRB for Source Localization. - Peng Wei, Wei Feng, Yunfei Chen, Ning Ge, Cheng-Xiang Wang:
Joint Mobility Control and MEC Offloading for Hybrid Satellite-Terrestrial-Network-Enabled Robots. - Sarah Almaghrabi, Mashud Rana, Margaret Hamilton, Mohammad Saiedur Rahaman:
Solar Power Time Series Forecasting Utilising Wavelet Coefficients. - Ali Abdullah S. AlQahtani, Nazim Choudhury:
ML for Location Prediction Using RSSI On WiFi 2.4 GHZ Frequency Band. - Takashi Matsubara, Takaharu Yaguchi:
FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities. - Mesay Samuel Gondere, Lars Schmidt-Thieme, Durga Prasad Sharma, Abiot Sinamo Boltena, Abey Bruck:
Offline Handwritten Amharic Character Recognition Using Few-shot Learning. - Yuhua Jiang, Feifei Gao:
Electromagnetic Channel Model for Near Field MIMO Systems in The Half Space. - Ali Eslamian, Mohammad Reza Ahmadzadeh:
Det-SLAM: A semantic visual SLAM for highly dynamic scenes using Detectron2. - Zhiwei Gao, Liang Yan, Tao Zhou:
Failure-informed adaptive sampling for PINNs. - Shuhei Mandokoro, Natsuki Oka, Akane Matsushima, Chie Fukada, Yuko Yoshimura, Koji Kawahara, Kazuaki Tanaka:
Construction and Evaluation of a Self-Attention Model for Semantic Understanding of Sentence-Final Particles. - Luigi Bellomarini, Eleonora Laurenza, Emanuel Sallinger, Evgeny Sherkhonov:
Swift Markov Logic for Probabilistic Reasoning on Knowledge Graphs. - Philip Schroeder:
NeuroEvo: A Cloud-based Platform for Automated Design and Training of Neural Networks using Evolutionary and Particle Swarm Algorithms. - E. F. de Almeida, Rodrigo C. de Lamare:
Robust Power Allocation and Linear Precoding for Cell-Free and Multi-Cell Massive MIMO Systems. - Lorenzo Rossi:
DeltaBound Attack: Efficient decision-based attack in low queries regime. - Baturay Saglam, Suleyman S. Kozat:
Deep Intrinsically Motivated Exploration in Continuous Control. - Timilehin B. Aderinola, Tee Connie, Thian Song Ong, Andrew Beng Jin Teoh, Michael Kah Ong Goh:
Gait-based Age Group Classification with Adaptive Graph Neural Network. - Kush Vora, Dishant Padalia:
An Ensemble of Convolutional Neural Networks to Detect Foliar Diseases in Apple Plants. - Juan Cerviño, Navid Naderializadeh, Alejandro Ribeiro:
Federated Representation Learning via Maximal Coding Rate Reduction. - Juan Cerviño, Luiz F. O. Chamon, Benjamin D. Haeffele, René Vidal, Alejandro Ribeiro:
Learning Globally Smooth Functions on Manifolds. - Xin Xie, Zhoubo Li, Xiaohan Wang, Zekun Xi, Ningyu Zhang:
LambdaKG: A Library for Pre-trained Language Model-Based Knowledge Graph Embeddings. - Harry Sevi, Matthieu Jonckheere, Argyris Kalogeratos:
Clustering for directed graphs using parametrized random walk diffusion kernels. - Ningyu Zhang, Lei Li, Xiang Chen, Xiaozhuan Liang, Shumin Deng, Huajun Chen:
Multimodal Analogical Reasoning over Knowledge Graphs. - S. Ashwin Hebbar, Viraj Nadkarni, Ashok Vardhan Makkuva, Suma Bhat, Sewoong Oh, Pramod Viswanath:
CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family. - Tsung-Wei Ke, Stella X. Yu:
CAST: Concurrent Recognition and Segmentation with Adaptive Segment Tokens. - Trevor J. M. Bench-Capon, Katie Atkinson:
Using Argumentation Schemes to Model Legal Reasoning. - Somayeh Komeylian, Christopher Paolini:
Implementation of a Three-class Classification LS-SVM Model for the Hybrid Antenna Array with Bowtie Elements in the Adaptive Beamforming Application. - Ozan Irsoy, Ethem Alpaydin:
PathFinder: Discovering Decision Pathways in Deep Neural Networks. - Kshitij Gupta:
MALM: Mixing Augmented Language Modeling for Zero-Shot Machine Translation. - Yang Lu, Zhengxin Yu, Neeraj Suri:
Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph. - Aaron Zellner, Ayan Dutta, Iliya Kulbaka, Gokarna Sharma:
Deep Recurrent Q-learning for Energy-constrained Coverage with a Mobile Robot. - Usama Nadeem, Noah Ziems, Shaoen Wu:
CodeDSI: Differentiable Code Search. - Mario Montagud, Gianluca Cernigliaro, Miguel Arevalillo-Herráez, Miguel García-Pineda, Jaume Segura-Garcia, Sergi Fernández:
Social VR and multi-party holographic communications: Opportunities, Challenges and Impact in the Education and Training Sectors. - Dennis Klinkhammer:
Longitudinal Sentiment Analyses for Radicalization Research: Intertemporal Dynamics on Social Media Platforms and their Implications. - Mohsen Bayati, Junyu Cao, Wanning Chen:
Speed Up the Cold-Start Learning in Two-Sided Bandits with Many Arms. - Jianhao Ma, Lingjun Guo, Salar Fattahi:
Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition. - Zheng Wu, Yichen Xie, Wenzhao Lian, Changhao Wang, Yanjiang Guo, Jianyu Chen, Stefan Schaal, Masayoshi Tomizuka:
Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning. - Daniel Probst:
Social and environmental impact of recent developments in machine learning on biology and chemistry research. - Po-han Li, Sandeep P. Chinchali, Ufuk Topcu:
Differentially Private Timeseries Forecasts for Networked Control. - Sid Ahmed Fezza, Mohammed Yasser Ouis, Bachir Kaddar, Wassim Hamidouche, Abdenour Hadid:
Evaluation of Pre-Trained CNN Models for Geographic Fake Image Detection. - Cian Eastwood, Andrei Liviu Nicolicioiu, Julius von Kügelgen, Armin Kekic, Frederik Träuble, Andrea Dittadi, Bernhard Schölkopf:
DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability. - Kookjin Lee, Nathaniel Trask:
Parameter-varying neural ordinary differential equations with partition-of-unity networks. - Sangeet Sankaramangalam Ulhas, Aditya Ravichander, Kathryn A. Johnson, Theodore P. Pavlic, Lance Gharavi, Spring Berman:
CHARTOPOLIS: A Small-Scale Labor-art-ory for Research and Reflection on Autonomous Vehicles, Human-Robot Interaction, and Sociotechnical Imaginaries. - Kyle Gao, Yina Gao, Hongjie He, Dening Lu, Linlin Xu, Jonathan Li:
NeRF: Neural Radiance Field in 3D Vision, A Comprehensive Review. - Ahmed Aloui, Juncheng Dong, Cat P. Le, Vahid Tarokh:
Causal Knowledge Transfer from Task Affinity. - David A. Bader, Fuhuan Li, Anya Ganeshan, Ahmet Gündogdu, Jason Lew, Oliver Alvarado Rodriguez, Zhihui Du:
A Novel Parallel Triangle Counting Algorithm with Reduced Communication. - Ignacio Muga, Sergio Rojas, Patrick Vega:
An adaptive superconvergent finite element method based on local residual minimization. - Owen Shen:
Online Revenue Maximization with Unknown Concave Utilities. - Junjuan Feng, Hien Quoc Ngo, Michail Matthaiou:
(Non)-Coherent MU-MIMO Block Fading Channels with Finite Blocklength and Linear Processing. - Brett Reynolds, Aryaman Arora, Nathan Schneider:
CGELBank: CGEL as a Framework for English Syntax Annotation. - Heeseung Bang, Andreas A. Malikopoulos:
Re-Routing Strategy of Connected and Automated Vehicles Considering Coordination at Intersections. - Yuxuan Li, James L. McClelland:
Systematic Generalization and Emergent Structures in Transformers Trained on Structured Tasks. - Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool:
Basic Binary Convolution Unit for Binarized Image Restoration Network. - Xingyu Chen, Ruonan Zhang, Ji Jiang, Yan Wang, Ge Li, Thomas H. Li:
Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem. - Bhathiya Rathnayake, Mamadou Diagne:
Observer-based Event-triggered Boundary Control of the One-phase Stefan Problem. - Yijun Cao, Xianshi Zhang, Fuya Luo, Yongjie Li:
Unsupervised Vision and Vision-motion Calibration Strategies for PointGoal Navigation in Indoor Environment. - Xue Liu, Dan Sun, Xiaobo Cao, Hao Ye, Wei Wei:
Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies. - Amir Moslemi, Arash Ahmadian:
Subspace Learning for Feature Selection via Rank Revealing QR Factorization: Unsupervised and Hybrid Approaches with Non-negative Matrix Factorization and Evolutionary Algorithm. - George Vershinin, Asaf Cohen, Omer Gurewitz:
Multiple Access Channel in Massive Multi-User MIMO Using Group Testing. - Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He:
Improved Algorithms for Neural Active Learning. - Chee-Kheng Chng, Álvaro Parra Bustos, Benjamin McCarthy, Tat-Jun Chin:
ROSIA: Rotation-Search-Based Star Identification Algorithm. - Jiancong Xiao, Liusha Yang, Yanbo Fan, Jue Wang, Zhi-Quan Luo:
Understanding Adversarial Robustness Against On-manifold Adversarial Examples. - Shai Berkovitz, Amit Mazuz, Michael Fire:
Open Framework for Analyzing Public Parliaments Data. - Thanh V. Pham, Steve Hranilovic, Susumu Ishihara:
Design of Artificial Noise for Physical Layer Security in Visible Light Systems with Clipping. - Bumjun Jung, Yusuke Mukuta, Tatsuya Harada:
Grouped self-attention mechanism for a memory-efficient Transformer. - Eric Cancès, Muhammad Hassan, Laurent Vidal:
Modified-operator method for the calculation of band diagrams of crystalline materials. - Gautam Choudhary, Natwar Modani, Nitish Maurya:
ReAct: A Review Comment Dataset for Actionability (and more). - Hao Wang, Guosheng Lin, Ana Garcia del Molino, Anran Wang, Zehuan Yuan, Chunyan Miao, Jiashi Feng:
ManiCLIP: Multi-Attribute Face Manipulation from Text. - Xueying Li, Ryan Grammenos:
A Smart Recycling Bin Using Waste Image Classification At The Edge. - Chang Zong, Yueting Zhuang, Weiming Lu, Jian Shao, Siliang Tang:
Citation Trajectory Prediction via Publication Influence Representation Using Temporal Knowledge Graph. - Yang Li, Qingfeng Lin, Ya-Feng Liu, Bo Ai, Yik-Chung Wu:
Asynchronous Activity Detection for Cell-Free Massive MIMO: From Centralized to Distributed Algorithms. - Harsh Shrivastava, Urszula Chajewska:
Neural Graphical Models. - Abdelkrim Boudaoud, Houari Mahfoud, Azeddine Chikh:
Towards a Complete Direct Mapping From Relational Databases To Property Graphs. - Lukang Sun, Peter Richtárik:
Improved Stein Variational Gradient Descent with Importance Weights. - Juan Manuel Pérez, Franco Luque, Demian Zayat, Martín Kondratzky, Agustín Moro, Pablo Serrati, Joaquín Zajac, Paula Miguel, Natalia Debandi, Agustín Gravano, Viviana Cotik:
Assessing the impact of contextual information in hate speech detection. - Sanjiv Kumar Bariwal, Prasanta Kumar Barik, Ankik Kumar Giri, Rajesh Kumar:
Numerical analysis for coagulation-fragmentation equations with singular rates. - Shahar Lutati, Lior Wolf:
OCD: Learning to Overfit with Conditional Diffusion Models. - Yun Tian, He Wang, Laixin Xie, Xiaojuan Ma, Quan Li:
VFLens: Co-design the Modeling Process for Efficient Vertical Federated Learning via Visualization. - Dikai Liu, Tianwei Zhang, Jianxiong Yin, Simon See:
Saving the Limping: Fault-tolerant Quadruped Locomotion via Reinforcement Learning. - Zijing Liu, Xiyao Qu, Xuejun Liu, Hongqiang Lyu:
Robust Bayesian optimization with reinforcement learned acquisition functions. - Siddharth Roheda, Ashkan Panahi, Hamid Krim:
Fast OT for Latent Domain Adaptation. - Zhenlin Xu, Marc Niethammer, Colin Raffel:
Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language. - Gholamali Aminian, Saeed Masiha, Laura Toni, Miguel R. D. Rodrigues:
Learning Algorithm Generalization Error Bounds via Auxiliary Distributions. - Lushan Song, Jiaxuan Wang, Zhexuan Wang, Xinyu Tu, Guopeng Lin, Wenqiang Ruan, Haoqi Wu, Weili Han:
pMPL: A Robust Multi-Party Learning Framework with a Privileged Party. - Xinhang Liu, Jiaben Chen, Huai Yu, Yu-Wing Tai, Chi-Keung Tang:
Unsupervised Multi-View Object Segmentation Using Radiance Field Propagation. - Ziyi Lu, Na Yu, Xuehe Wang:
Incentive Mechanism and Path Planning for UAV Hitching over Traffic Networks. - Yukun Yue:
On convergence of an unconditional stable numerical scheme for Q-tensor flow based on invariant quardratization method. - Jörg Henkel, Hai Li, Anand Raghunathan, Mehdi B. Tahoori, Swagath Venkataramani, Xiaoxuan Yang, Georgios Zervakis:
Approximate Computing and the Efficient Machine Learning Expedition. - Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan:
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model. - Massimo Stella, Salvatore Citraro, Giulio Rossetti, Daniele Marinazzo, Yoed N. Kenett, Michael S. Vitevitch:
Cognitive modelling with multilayer networks: Insights, advancements and future challenges. - Damianos Tranos, Alessio Russo, Alexandre Proutière:
Self-Tuning Tube-based Model Predictive Control. - Christian M. Dahl, Torben S. D. Johansen, Emil N. Sørensen, Christian E. Westermann, Simon F. Wittrock:
DARE: A large-scale handwritten date recognition system. - Ashish Singh, Antonio Bevilacqua, Thach Le Nguyen, Feiyan Hu, Kevin McGuinness, Martin O'Reilly, Darragh Whelan, Brian Caulfield, Georgiana Ifrim:
Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series Classifiers. - T. Konstantin Rusch, Benjamin Paul Chamberlain, Michael W. Mahoney, Michael M. Bronstein, Siddhartha Mishra:
Gradient Gating for Deep Multi-Rate Learning on Graphs. - Marat S. Mukhametzhanov:
High Precision Differentiation Techniques for Data-Driven Solution of Nonlinear PDEs by Physics-Informed Neural Networks. - Yubo Cui, Jiayao Shan, Zuoxu Gu, Zhiheng Li, Zheng Fang:
Exploiting More Information in Sparse Point Cloud for 3D Single Object Tracking. - Swapnil Dey, Vipul Arora, Sachchida Nand Tripathi:
Leveraging unsupervised data and domain adaptation for deep regression in low-cost sensor calibration. - Christian Schell, Andreas Hotho, Marc Erich Latoschik:
Comparison of Data Representations and Machine Learning Architectures for User Identification on Arbitrary Motion Sequences. - Rony Bou Rouphael, Maël Le Treust:
Strategic Communication via Cascade Multiple Description Network. - Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li:
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation. - Miguel Nobre Castro, Strahinja Dosen:
Semi-autonomous Prosthesis Control Using Minimal Depth Information and Vibrotactile Feedback. - Hengyuan Zhang, Dawei Li, Shiping Yang, Yanran Li:
Fine-grained Contrastive Learning for Definition Generation. - Jiahuan Ren, Zhao Zhang, Richang Hong, Mingliang Xu, Yi Yang, Shuicheng Yan:
Seeing Through The Noisy Dark: Toward Real-world Low-Light Image Enhancement and Denoising. - Yu-Ming Zhang, Jun-Wei Hsieh, Chun-Chieh Lee, Kuo-Chin Fan:
Siamese-NAS: Using Trained Samples Efficiently to Find Lightweight Neural Architecture by Prior Knowledge. - Chuan-gang Kang, Heng Zhou:
Error estimates of Kaczmarz and randomized Kaczmarz methods. - Ye-Ji Mun, Masha Itkina, Shuijing Liu, Katherine Driggs Campbell:
Occlusion-Aware Crowd Navigation Using People as Sensors. - Gleice Carvalho de Lima Moreno, Marco P. M. de Souza, Nelson Hein, Adriana Kroenke Hein:
ALT: A software for readability analysis of Portuguese-language texts. - Jiancong Xiao, Zeyu Qin, Yanbo Fan, Baoyuan Wu, Jue Wang, Zhi-Quan Luo:
Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis. - Jiulong Wang, Ruopu Wu, Guokai Chen, Xuhao Chen, Boran Liu, Jixiang Zong, Di Zhao:
RISC-V Toolchain and Agile Development based Open-source Neuromorphic Processor. - Julia Balla, Sihao Huang, Owen Dugan, Rumen Dangovski, Marin Soljacic:
AI-Assisted Discovery of Quantitative and Formal Models in Social Science. - Satakshi Ghosh, Avisek Sharma, Pritam Goswami, Buddhadeb Sau:
Two teams of oblivious asynchronous robots performing different tasks on an infinite grid without the knowledge of its team members. - Marcus Schaefer, Daniel Stefankovic:
Beyond the Existential Theory of the Reals. - Gavin Abercrombie, Verena Rieser:
Risk-graded Safety for Handling Medical Queries in Conversational AI. - Vladimir Jacimovic:
Natural Gradient Ascent in Evolutionary Games. - Michael Puthawala, Matti Lassas, Ivan Dokmanic, Pekka Pankka, Maarten V. de Hoop:
Deep Invertible Approximation of Topologically Rich Maps between Manifolds. - Shamil Mamedov, Alejandro Astudillo, Daniele Ronzani, Wilm Decré, Jean-Philippe Noël, Jan Swevers:
An optimal open-loop strategy for handling a flexible beam with a robot manipulator. - Nikolay Malkin, Salem Lahlou, Tristan Deleu, Xu Ji, Edward J. Hu, Katie Everett, Dinghuai Zhang, Yoshua Bengio:
GFlowNets and variational inference. - Haiming Wang, Zhikun Zhang, Tianhao Wang, Shibo He, Michael Backes, Jiming Chen, Yang Zhang:
PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model. - Daniel Shwartz, Uri Stern, Daphna Weinshall:
The Dynamic of Consensus in Deep Networks and the Identification of Noisy Labels. - Xiaoyu Cao, Zaixi Zhang, Jinyuan Jia, Neil Zhenqiang Gong:
FLCert: Provably Secure Federated Learning against Poisoning Attacks. - Ali Borji:
Generated Faces in the Wild: Quantitative Comparison of Stable Diffusion, Midjourney and DALL-E 2. - Yiming Cui:
DFA: Dynamic Feature Aggregation for Efficient Video Object Detection. - Michael Dohopolski, Kai Wang, Biling Wang, Ti Bai, Dan Nguyen, David J. Sher, Steve B. Jiang, Jing Wang:
Uncertainty estimations methods for a deep learning model to aid in clinical decision-making - a clinician's perspective. - (Withdrawn) Community Learning: Understanding A Community Through NLP for Positive Impact.
- Xiaobing Feng, Yukun Li, Yujian Lin:
Fully discrete finite element methods for nonlinear stochastic elastic wave equations with multiplicative noise. - Ivan Hristov, Radoslava Hristova, Igor V. Puzynin, Taisia P. Puzynina, Zarif Sharipov, Zafar Tukhliev:
A database of high precision trivial choreographies for the planar three-body problem. - Weiqin Chen, Dharmashankar Subramanian, Santiago Paternain:
Policy Gradients for Probabilistic Constrained Reinforcement Learning. - Thomas Steinke:
Composition of Differential Privacy & Privacy Amplification by Subsampling. - Prashnna K. Gyawali, Xiaoxia Liu, James Zou, Zihuai He:
Ensembling improves stability and power of feature selection for deep learning models. - Cosmin Badea, Leilani Gilpin:
Establishing Meta-Decision-Making for AI: An Ontology of Relevance, Representation and Reasoning. - S. Hamidreza Kasaei, Mohammadreza Kasaei:
Throwing Objects into A Moving Basket While Avoiding Obstacles. - Frederik Eaton:
Belief propagation generalizes backpropagation. - Haibo Yang, Zhuqing Liu, Xin Zhang, Jia Liu:
SAGDA: Achieving O(ε-2) Communication Complexity in Federated Min-Max Learning. - Meire Fortunato, Tobias Pfaff, Peter Wirnsberger, Alexander Pritzel, Peter W. Battaglia:
MultiScale MeshGraphNets. - Yuri Balashov:
The boundaries of meaning: a case study in neural machine translation. - Jun Hyung Mo, Rajesh Kumar:
iCTGAN-An Attack Mitigation Technique for Random-vector Attack on Accelerometer-based Gait Authentication Systems. - Quang Loc Le, Xuan-Bach Dinh Le:
An Efficient Cyclic Entailment Procedure in a Fragment of Separation Logic. - Filip Ilievski, Jay Pujara, Kartik Shenoy:
Does Wikidata Support Analogical Reasoning? - Hengyue Liang, Buyun Liang, Ying Cui, Tim Mitchell, Ju Sun:
Optimization for Robustness Evaluation beyond 𝓁p Metrics. - Mehmet S. Ismail:
Optimin achieves super-Nash performance. - Hongsuk Choi, Gyeongsik Moon, Matthieu Armando, Vincent Leroy, Kyoung Mu Lee, Grégory Rogez:
MonoNHR: Monocular Neural Human Renderer. - Hongkai Dai, Frank Permenter:
Convex synthesis and verification of control-Lyapunov and barrier functions with input constraints. - Ruy Fabila Monroy, Carlos Hidalgo-Toscano, Daniel Perz, Birgit Vogtenhuber:
No Selection Lemma for Empty Triangles. - Robi Bhattacharjee, Max Hopkins, Akash Kumar, Hantao Yu, Kamalika Chaudhuri:
Robust Empirical Risk Minimization with Tolerance. - Semyon Malamud, Andreas Schrimpf, Teng Andrea Xu, Giuseppe Matera, Antoine Didisheim:
Benign Autoencoders. - Ziyin Liu, Ekdeep Singh Lubana, Masahito Ueda, Hidenori Tanaka:
What shapes the loss landscape of self-supervised learning? - Jason Ross Brown, Yiren Zhao, Ilia Shumailov, Robert D. Mullins:
Wide Attention Is The Way Forward For Transformers. - Jason Ross Brown, Yiren Zhao, Ilia Shumailov, Robert D. Mullins:
DARTFormer: Finding The Best Type Of Attention. - Hamza Kheddar:
From 2G to 4G Mobile Network: Architecture and Key Performance Indicators. - Lu Lin, Jinghui Chen, Hongning Wang:
Spectral Augmentation for Self-Supervised Learning on Graphs. - Shan Jiang, Yufei Huang, Mohsen A. Jafari, Mohammad Jalayer:
Economic-Driven Adaptive Traffic Signal Control. - Zhuangzhuang Zhang, Weixiong Zhang:
Pixel-global Self-supervised Learning with Uncertainty-aware Context Stabilizer. - Weicai Ye, Shuo Chen, Chong Bao, Hujun Bao, Marc Pollefeys, Zhaopeng Cui, Guofeng Zhang:
IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View Synthesis. - Kevin Morio, Ilkan Esiyok, Dennis Jackson, Robert Künnemann:
Automated Security Analysis of Exposure Notification Systems. - Yanjun Zhang, Hanyu Li:
Greedy capped nonlinear Kaczmarz methods. - Stepan L. Kuznetsov:
Relational Models for the Lambek Calculus with Intersection and Constants. - Mingda Qiao, Gregory Valiant:
Online Pen Testing. - Eugene Choi, Cheolhyoung Lee, Kyunghyun Cho:
A Non-monotonic Self-terminating Language Model. - Daniel G. Kyrollos, Anthony Fuller, Kim Greenwood, JoAnn Harrold, James R. Green:
Under the Cover Infant Pose Estimation using Multimodal Data. - Peter Schaldenbrand, James McCann, Jean Oh:
FRIDA: A Collaborative Robot Painter with a Differentiable, Real2Sim2Real Planning Environment. - Ming Xiang, Lili Su:
β-Stochastic Sign SGD: A Byzantine Resilient and Differentially Private Gradient Compressor for Federated Learning. - Nathan M. White:
Probing of Quantitative Values in Abstractive Summarization Models. - Yaoyao Zhang, Chaojie Zhu, Shaojie Tang, Ringli Ran, Ding-Zhu Du, Zhao Zhang:
Evolution is Still Good: Theoretical Analysis of Evolutionary Algorithms on General Cover Problems. - Zihuai Zhao, Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Branka Vucetic:
Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach. - Chen Zhao, Joyce H. Keyak, Xuewei Cao, Qiuying Sha, Li Wu, Zhe Luo, Lanjuan Zhao, Qing Tian, Chuan Qiu, Ray Su, Hui Shen, Hong-Wen Deng, Weihua Zhou:
Multi-view information fusion using multi-view variational autoencoders to predict proximal femoral strength. - Bin Wang, Xianfa Hu, Xinyuan Wu:
Two new classes of exponential Runge-Kutta integrators for efficiently solving stiff systems or highly oscillatory problems. - Hongyi Pan, Salih Atici, Ahmet Enis Çetin:
Multipod Convolutional Network. - Haibo Yang, Peiwen Qiu, Jia Liu:
Taming Fat-Tailed ("Heavier-Tailed" with Potentially Infinite Variance) Noise in Federated Learning. - Yi-Chun Wang, Jun-Wei Hsieh, Ming-Ching Chang:
NAS-based Recursive Stage Partial Network (RSPNet) for Light-Weight Semantic Segmentation. - Viet-Anh Le, Andreas A. Malikopoulos:
Optimal Weight Adaptation of Model Predictive Control for Connected and Automated Vehicles in Mixed Traffic with Bayesian Optimization. - Dan Qiao, Yu-Xiang Wang:
Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation. - Yingming Pu:
Combined Dynamic Virtual Spatiotemporal Graph Mapping for Traffic Prediction. - Yi-Jen Shih, Hsuan-Fu Wang, Heng-Jui Chang, Layne Berry, Hung-yi Lee, David Harwath:
SpeechCLIP: Integrating Speech with Pre-Trained Vision and Language Model. - Ziqiao Wang, Yongyi Mao:
Information-Theoretic Analysis of Unsupervised Domain Adaptation. - Marco Gillies, Dhiraj Murthy, Harry Brenton, Rapheal Olaniyan:
Theme and Topic: How Qualitative Research and Topic Modeling Can Be Brought Together. - Yashowardhan Shinde, Kishore Kulkarni:
EraseNet: A Recurrent Residual Network for Supervised Document Cleaning. - Hue Nguyen, Diep Tran, Khoi Nguyen, Rang Nguyen:
PSENet: Progressive Self-Enhancement Network for Unsupervised Extreme-Light Image Enhancement. - Xiaohan Zou, Tong Lin:
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation. - John K. Ousterhout:
It's Time to Replace TCP in the Datacenter. - Chahat Deep Singh, Riya Kumari, Cornelia Fermüller, Nitin J. Sanket, Yiannis Aloimonos:
WorldGen: A Large Scale Generative Simulator. - Xin Liu, Xiaoyu Zhang, Girish Narayanswamy, Yuzhe Zhang, Yuntao Wang, Shwetak N. Patel, Daniel McDuff:
Deep Physiological Sensing Toolbox. - Ali Ahmad Malik:
Future of industrial assembly: Intelligent Reconfigurable & Repurposable Adaptive Assembly (IRRAA). - Soujanya Narayana, Ramanathan Subramanian, Ibrahim Radwan, Roland Goecke:
To Improve Is to Change: Towards Improving Mood Prediction by Learning Changes in Emotion. - Yao Fu, Hao Peng, Ashish Sabharwal, Peter Clark, Tushar Khot:
Complexity-Based Prompting for Multi-Step Reasoning. - Walter Heymans, Marelie H. Davel, Charl Johannes van Heerden:
Efficient acoustic feature transformation in mismatched environments using a Guided-GAN. - Puhao Li, Tengyu Liu, Yuyang Li, Yiran Geng, Yixin Zhu, Yaodong Yang, Siyuan Huang:
GenDexGrasp: Generalizable Dexterous Grasping. - Joseph Moyalan, Yongxin Chen, Umesh Vaidya:
Data-Driven Convex Approach to Off-road Navigation via Linear Transfer Operators. - Yiying Wu, Miikka J. Lehtonen:
Inattentive in social, active in mind: VR-based design intervention for imagining desirable possibilities in the public space. - Tse Pei Ng, Jung-Joo Lee, Yiying Wu:
Unpacking Cultural Perceptions of Future Elder Care through Design Fiction. - Frederic Koehler, Alexander Heckett, Andrej Risteski:
Statistical Efficiency of Score Matching: The View from Isoperimetry. - Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu:
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples. - Dazhou Yu, Guangji Bai, Yun Li, Liang Zhao:
Deep Spatial Domain Generalization. - B. P. Ashwini, R. Sumathi, H. S. Sudhira:
A Dynamic Model for Bus Arrival Time Estimation based on Spatial Patterns using Machine Learning. - Chaoran Chen, Brad A. Myers, Cem Ergin, Emily Porat, Sijia Li, Chun Wang:
ScrollTest: Evaluating Scrolling Speed and Accuracy. - Chih-Fan Hsu, Ming-Ching Chang, Wei-Chao Chen:
FedDig: Robust Federated Learning Using Data Digest to Represent Absent Clients. - Ivan V. Kozitsin, Eduard R. Sayfulin, Vyacheslav L. Goiko:
A Nontrivial Interplay between Triadic Closure, Preferential, and Anti-Preferential Attachment: New Insights from Online Data. - Haoxuan Qu, Li Xu, Yujun Cai, Lin Geng Foo, Jun Liu:
Heatmap Distribution Matching for Human Pose Estimation. - Zhi Qin Tan, Hao Shan Wong, Chee Seng Chan:
An Embarrassingly Simple Approach for Intellectual Property Rights Protection on Recurrent Neural Networks. - Ming Yin, Mengdi Wang, Yu-Xiang Wang:
Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient. - Xiaoming Li, Chaofeng Chen, Xianhui Lin, Wangmeng Zuo, Lei Zhang:
From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution. - Xuanjun Chen, Haibin Wu, Helen Meng, Hung-yi Lee, Jyh-Shing Roger Jang:
Push-Pull: Characterizing the Adversarial Robustness for Audio-Visual Active Speaker Detection. - Dongqiang Yang, Ning Li, Li Zou, Hongwei Ma:
Lexical semantics enhanced neural word embeddings. - Alina Ciocarlan, Sylvie Le Hégarat-Mascle, Sidonie Lefebvre, Clara Barbanson:
Détection de petites cibles par apprentissage profond et critère a contrario. - Carmelo Scribano, Giorgia Franchini, Ignacio Sañudo Olmedo, Marko Bertogna:
CERBERUS: Simple and Effective All-In-One Automotive Perception Model with Multi Task Learning. - Tianyu Yan, Zifu Wan, Pingping Zhang:
Fully Transformer Network for Change Detection of Remote Sensing Images. - Jonathan Sterling:
Reflections on existential types. - Jonas Rothfuss, Christopher König, Alisa Rupenyan, Andreas Krause:
Meta-Learning Priors for Safe Bayesian Optimization. - Céline Hocquette, Andrew Cropper:
Relational program synthesis with numerical reasoning. - Hongsheng Wang, Xiaoqi Zhao, Youwei Pang, Jinqing Qi:
Few-Shot Segmentation via Rich Prototype Generation and Recurrent Prediction Enhancement. - Yi Yu, Rita Ibrahim, Dinh-Thuy Phan-Huy:
Dual Gradient Descent EMF-Aware MU-MIMO Beamforming in RIS-Aided 6G Networks. - Haggai Roitman:
Unsupervised Search Algorithm Configuration using Query Performance Prediction. - Liping Bai:
Accelerate Reinforcement Learning with PID Controllers in the Pendulum Simulations. - Tao Yang, Fangtao Yu, Qiuzhuo Chen, Rongke Liu:
On Lattice-Code based Multiple Access: Uplink Architecture and Algorithms. - Shaull Almagor, Arka Ghosh, Tim Leys, Guillermo A. Pérez:
The Geometry of Reachability in Continuous Vector Addition Systems with States. - Bruce X. B. Yu, Jianlong Chang, Lingbo Liu, Qi Tian, Chang Wen Chen:
Towards a Unified View on Visual Parameter-Efficient Transfer Learning. - Tim S. Lyon:
Nested Sequents for First-Order Modal Logics via Reachability Rules. - Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Stephen J. Redmond, Noel E. O'Connor:
Hierarchical reinforcement learning for in-hand robotic manipulation using Davenport chained rotations. - Matthieu Dorier, Romain Egele, Prasanna Balaprakash, Jaehoon Koo, Sandeep Madireddy, Srinivasan Ramesh, Allen D. Malony, Robert B. Ross:
HPC Storage Service Autotuning Using Variational-Autoencoder-Guided Asynchronous Bayesian Optimization. - Ruomei Qi, Jiarong Li, Jin Lin, Yonghua Song, Jiepeng Wang, Qiangqiang Cui, Yiwei Qiu, Ming Tang, Jian Wang:
Design of the PID temperature controller for an alkaline electrolysis system with time delays. - Yongliang Wang, Hamidreza Kasaei:
Obstacle Avoidance for Robotic Manipulator in Joint Space via Improved Proximal Policy Optimization. - Clemens Karner, Vladimir A. Kazeev, Philipp Christian Petersen:
Limitations of neural network training due to numerical instability of backpropagation. - Giovanni Pasqualino, Antonino Furnari, Giovanni Maria Farinella:
A Multi Camera Unsupervised Domain Adaptation Pipeline for Object Detection in Cultural Sites through Adversarial Learning and Self-Training. - Sier Ha, Qingqing Li, Xianjia Yu, Jorge Peña Queralta, Zhuo Zou, Tomi Westerlund:
A Benchmark for Multi-Modal Lidar SLAM with Ground Truth in GNSS-Denied Environments. - Xiao Yan, Zhangxin Gong, Wenqiang Wang, Xiaoyang Zeng, Yibo Fan:
A high accuracy and low complexity quality control method for image compression. - Sayed Hashim, Karthik Nandakumar, Mohammad Yaqub:
Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer Data. - Marcin Hoffmann, Pawel Kryszkiewicz, Adrian Kliks:
Federated Learning-Based Interference Modeling for Vehicular Dynamic Spectrum Access. - Sotiris Anagnostidis, Aurélien Lucchi, Thomas Hofmann:
Mastering Spatial Graph Prediction of Road Networks. - Yiying Wu, Yunye Yu, Pengcheng An:
Dancing with the Unexpected and Beyond: The Use of AI Assistance in Design Fiction Creation. - Xuefeng Gao, Xun Yu Zhou:
Square-root regret bounds for continuous-time episodic Markov decision processes. - Fabio Mazzocchetti, Sergi Alcaide, Francisco Bas, Pedro Benedicte, Guillem Cabo, Feng Chang, Francisco Fuentes, Jaume Abella:
SafeSoftDR: A Library to Enable Software-based Diverse Redundancy for Safety-Critical Tasks. - Bruno Arcanjo, Bruno Ferrarini, Michael Milford, Klaus D. McDonald-Maier, Shoaib Ehsan:
Merging Classification Predictions with Sequential Information for Lightweight Visual Place Recognition in Changing Environments. - Yahui Liu, Enver Sangineto, Yajing Chen, Linchao Bao, Haoxian Zhang, Nicu Sebe, Bruno Lepri, Marco De Nadai:
Smooth image-to-image translations with latent space interpolations. - J. Friemann, Behdad Dashtbozorg, Mikael Fagerström, S. Mahsen Mirkhalaf:
A micromechanics-based recurrent neural networks model for path-dependent cyclic deformation of short fiber composites. - Georgios Tziafas, S. Hamidreza Kasaei:
A Strong Transfer Baseline for RGB-D Fusion in Vision Transformers. - Yihang Chen, Weijie Dong, Yongping Xie:
A Dual Realization of Chua's Chaotic Oscillator Using a Current-Controlled Nonlinear Resistor. - Darren Key, Wen-Ding Li, Kevin Ellis:
I Speak, You Verify: Toward Trustworthy Neural Program Synthesis. - Oren Neumann, Claudius Gros:
Scaling Laws for a Multi-Agent Reinforcement Learning Model. - Minas Gadalla, Sotiris E. Nikoletseas, José Roberto de A. Amazonas, José D. P. Rolim:
Concepts and Experiments on Psychoanalysis Driven Computing. - Anahita Jamshidnejad:
A note on the potentials of probabilistic and fuzzy logic. - Daniel Becker, Christian Geller, Lutz Eckstein:
Road Network Variation Based on HD Map Analysis for the Simulative Safety Assurance of Automated Vehicles. - Reese E. Jones, Cosmin Safta, Ari Frankel:
Deep learning and multi-level featurization of graph representations of microstructural data. - Hadrien Barral, Georges-Axel Jaloyan, Fabien Thomas-Brans, Matthieu Regnery, Rémi Géraud-Stewart, Thibaut Heckmann, Thomas R. Souvignet, David Naccache:
A forensic analysis of the Google Home: repairing compressed data without error correction. - Georgios Tziafas, S. Hamidreza Kasaei:
A Hybrid Compositional Reasoning Approach for Interactive Robot Manipulation. - Zhongyi Pei, Lin Liu, Chen Wang, Jianmin Wang:
Requirements Engineering for Machine Learning: A Review and Reflection. - John McConnell, Yewei Huang, Paul Szenher, Ivana Collado-Gonzalez, Brendan J. Englot:
DRACo-SLAM: Distributed Robust Acoustic Communication-efficient SLAM for Imaging Sonar Equipped Underwater Robot Teams. - Ankush Aggarwal, Bjørn Sand Jensen, Sanjay Pant, Chung-Hao Lee:
Strain energy density as a Gaussian process and its utilization in stochastic finite element analysis: application to planar soft tissues. - Michael Franklin Mbouopda, Emille E. O. Ishida, Engelbert Mephu Nguifo, Emmanuel Gangler:
Explainable classification of astronomical uncertain time series. - Yiming Li, Yang Bai, Yong Jiang, Yong Yang, Shu-Tao Xia, Bo Li:
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection. - Mario Krenn, Lorenzo Buffoni, Bruno C. Coutinho, Sagi Eppel, Jacob Gates Foster, Andrew Gritsevskiy, Harlin Lee, Yichao Lu, João P. Moutinho, Nima Sanjabi, Rishi Sonthalia, Ngoc Mai Tran, Francisco Valente, Yangxinyu Xie, Rose Yu, Michael Kopp:
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network. - Huanzhou Zhu, Bo Zhao, Gang Chen, Weifeng Chen, Yijie Chen, Liang Shi, Yaodong Yang, Peter R. Pietzuch, Lei Chen:
MSRL: Distributed Reinforcement Learning with Dataflow Fragments. - Mengxi Liu, Sungho Suh, Bo Zhou, Agnes Grünerbl, Paul Lukowicz:
Smart-Badge: A wearable badge with multi-modal sensors for kitchen activity recognition. - Enzo Tartaglione:
Information Removal at the bottleneck in Deep Neural Networks. - Matyás Bohácek, Zhuo Cao, Marek Hrúz:
Combining Efficient and Precise Sign Language Recognition: Good pose estimation library is all you need. - Aitor Martínez-Seras, Javier Del Ser, Jesus L. Lobo, Pablo García Bringas, Nikola K. Kasabov:
A Novel Explainable Out-of-Distribution Detection Approach for Spiking Neural Networks. - Antoine Barrier, Aurélien Garivier, Gilles Stoltz:
On Best-Arm Identification with a Fixed Budget in Non-Parametric Multi-Armed Bandits. - Ariel Neufeld, Julian Sester:
Robust Q-learning Algorithm for Markov Decision Processes under Wasserstein Uncertainty. - Abicumaran Uthamacumaran, Felipe S. Abrhão, Narsis Aftab Kiani, Hector Zenil:
On the Salient Limitations of the Methods of Assembly Theory and their Classification of Molecular Biosignatures. - Weiguo Wang, Xiaolong Zheng, Yuan He, Xiuzhen Guo:
AdaComm: Tracing Channel Dynamics for Reliable Cross-Technology Communication. - Weiguo Wang, Jinming Li, Yuan He, Xiuzhen Guo, Yunhao Liu:
MotorBeat: Acoustic Communication for Home Appliances via Variable Pulse Width Modulation. - Misun Min, Michael J. Brazell, Ananias Tomboulides, Matthew J. Churchfield, Paul F. Fischer, Michael A. Sprague:
Towards Exascale for Wind Energy Simulations. - Sondre Wold:
The Effectiveness of Masked Language Modeling and Adapters for Factual Knowledge Injection. - Janis Goldzycher, Gerold Schneider:
Hypothesis Engineering for Zero-Shot Hate Speech Detection. - Wenguan Wang, James Liang, Dongfang Liu:
Learning Equivariant Segmentation with Instance-Unique Querying. - Junming Chen, Meirui Jiang, Qi Dou, Qifeng Chen:
Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer. - Michele Bucelli, Martin Geraint Gabriel, Giacomo Gigante, Alfio Quarteroni, Christian Vergara:
A stable loosely-coupled scheme for cardiac electro-fluid-structure interaction. - Hasib Zunair, Yan Gobeil, Samuel Mercier, Abdessamad Ben Hamza:
Fill in Fabrics: Body-Aware Self-Supervised Inpainting for Image-Based Virtual Try-On. - Misaki Ohashi, Yusuke Matsui:
Unbiased Scene Graph Generation using Predicate Similarities. - Hasib Zunair, A. Ben Hamza:
Masked Supervised Learning for Semantic Segmentation. - Rasmus Laurvig Haugaard, Thorbjørn Mosekjær Iversen:
Multi-view object pose estimation from correspondence distributions and epipolar geometry. - Weixia Zhang, Dingquan Li, Xiongkuo Min, Guangtao Zhai, Guodong Guo, Xiaokang Yang, Kede Ma:
Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop. - Mindaugas Macernis, Vaidotas Mickus, Janne Ahonen, Laurynas Diska, Jonas Franukevicius, Juozas Sulskus:
Still Unsolved High-Performance Computing Challenges for up to Pre-Petascale Homogeneous Supercomputers. - Gijs Bellaard, Daan L. J. Bon, Gautam Pai, Bart M. N. Smets, Remco Duits:
Analysis of (sub-)Riemannian PDE-G-CNNs. - Susung Hong, Gyuseong Lee, Wooseok Jang, Seungryong Kim:
Improving Sample Quality of Diffusion Models Using Self-Attention Guidance. - Vladimir Araujo, Helena Balabin, Julio Hurtado, Alvaro Soto, Marie-Francine Moens:
How Relevant is Selective Memory Population in Lifelong Language Learning? - Hongruixuan Chen, Naoto Yokoya, Chen Wu, Bo Du:
Unsupervised Multimodal Change Detection Based on Structural Relationship Graph Representation Learning. - Kai Wang, Fei Yang, Joost van de Weijer:
Attention Distillation: self-supervised vision transformer students need more guidance. - Chanyoung Park, Haemin Lee, Won Joon Yun, Soyi Jung, Carlos Cordeiro, Joongheon Kim:
Cooperative Multi-Agent Deep Reinforcement Learning for Reliable and Energy-Efficient Mobile Access via Multi-UAV Control. - Thomas Place, Marc Zeitoun:
A generic polynomial time approach to separation by first-order logic without quantifier alternation. - Jichao Yin, Hu Wang, Daozhen Guo, Shuhao Li:
An efficient topology optimization based on multigrid assisted reanalysis for heat transfer problem. - Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari:
Module-wise Training of Residual Networks via the Minimizing Movement Scheme. - Ryan Wong, Necati Cihan Camgöz, Richard Bowden:
Hierarchical I3D for Sign Spotting. - Ermis Soumalias, Behnoosh Zamanlooy, Jakob Weissteiner, Sven Seuken:
Machine Learning-powered Course Allocation. - Chanikarn Nikunram, Wasin Meesena, Stephen John Turner, Sucha Supittayapornpong:
Minimizing Age of Processed Information in Wireless Networks. - Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang:
UnGANable: Defending Against GAN-based Face Manipulation. - Jiancong Xiao, Yanbo Fan, Ruoyu Sun, Jue Wang, Zhi-Quan Luo:
Stability Analysis and Generalization Bounds of Adversarial Training. - SeungHyeon Bang, Carlos Gonzalez, Junhyeok Ahn, Nicholas Paine, Luis Sentis:
Control and Evaluation of a Humanoid Robot with Rolling Contact Knees. - C.-C. Jay Kuo, Azad M. Madni:
Green Learning: Introduction, Examples and Outlook. - Yixin Wu, Ning Yu, Zheng Li, Michael Backes, Yang Zhang:
Membership Inference Attacks Against Text-to-image Generation Models. - Avinash Bhardwaj, Manjesh K. Hanawal, Purushottam Parthasarathy:
Almost Exact Risk Budgeting with Return Forecasts for Portfolio Allocation. - Buyun Liang, Tim Mitchell, Ju Sun:
NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning. - Manish Nagaraj, Chamika Mihiranga Liyanagedera, Kaushik Roy:
DOTIE - Detecting Objects through Temporal Isolation of Events using a Spiking Architecture. - Tongjia Zheng, Qing Han, Hai Lin:
Task Space Tracking of Soft Manipulators: Inner-Outer Loop Control Based on Cosserat-Rod Models. - Edward J. Smith, Michal Drozdzal, Derek Nowrouzezahrai, David Meger, Adriana Romero-Soriano:
Uncertainty-Driven Active Vision for Implicit Scene Reconstruction. - Amy K. Strong, Ethan J. LoCicero, Leila Jasmine Bridgeman:
Dissipative Imitation Learning for Robust Dynamic Output Feedback. - Chiao Hsieh, Yangge Li, Yubin Koh, Sayan Mitra:
Assuring safety of vision-based swarm formation control. - Xinyi Zhao, Weixin Liang, James Zou:
Data Budgeting for Machine Learning. - Sara Ayhan:
Uniqueness of logical connectives in a bilateralist setting. - Kihyuk Sohn, Yuan Hao, José Lezama, Luisa Polania, Huiwen Chang, Han Zhang, Irfan Essa, Lu Jiang:
Visual Prompt Tuning for Generative Transfer Learning. - Navdeep Kumar, Kaixin Wang, Kfir Levy, Shie Mannor:
Policy Gradient for Reinforcement Learning with General Utilities. - Ada Gorgun, Yeti Ziya Gurbuz, A. Aydin Alatan:
Feature Embedding by Template Matching as a ResNet Block. - Yunshi Huang, Emilie Chouzenoux, Victor Elvira, Jean-Christophe Pesquet:
Efficient Bayes Inference in Neural Networks through Adaptive Importance Sampling. - Dinghuai Zhang, Aaron C. Courville, Yoshua Bengio, Qinqing Zheng, Amy Zhang, Ricky T. Q. Chen:
Latent State Marginalization as a Low-cost Approach for Improving Exploration. - Jirong Yi, Qiaosheng Zhang, Zhen Chen, Qiao Liu, Wei Shao:
Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems. - Zepeng Zhang, Songtao Lu, Zengfeng Huang, Ziping Zhao:
ASGNN: Graph Neural Networks with Adaptive Structure. - Jiali Zhou, Zhan Zhao, Jiangping Zhou:
Quantifying COVID-19 transmission risks based on human mobility data: A personalized PageRank approach for efficient contact-tracing. - Tom Bewley, Jonathan Lawry, Arthur Richards, Rachel Craddock, Ian Henderson:
Reward Learning with Trees: Methods and Evaluation. - Yuqian Guo, Zhitao Li:
Robust Set Stability of Logic Dynamical Systems with respect to Uncertain Switching. - Seokjun Ahn, Jungtaek Kim, Minsu Cho, Jaesik Park:
Sequential Brick Assembly with Efficient Constraint Satisfaction. - Konstantin Bauman, Alexey Vasilev, Alexander Tuzhilin:
The Long Tail of Context: Does it Exist and Matter? - Xuewei Cao, Joyce H. Keyak, Sigurdur Sigurdsson, Chen Zhao, Weihua Zhou, Anqi Liu, Thomas Lang, Hong-Wen Deng, Vilmundur Gudnason, Qiuying Sha:
Hip Fracture Prediction using the First Principal Component Derived from FEA-Computed Fracture Loads. - Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo:
LPT: Long-tailed Prompt Tuning for Image Classification. - Reijo Jaakkola:
Complexity of Polyadic Boolean Modal Logics: Model Checking and Satisfiability. - Weicong Liang, Yuhui Yuan, Henghui Ding, Xiao Luo, Weihong Lin, Ding Jia, Zheng Zhang, Chao Zhang, Han Hu:
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning. - Weiye Zhao, Tairan He, Changliu Liu:
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models. - Florian Langer, Gwangbin Bae, Ignas Budvytis, Roberto Cipolla:
SPARC: Sparse Render-and-Compare for CAD model alignment in a single RGB image. - Yishuai Li:
Testing by Dualization. - Maxime Vaidis, William Dubois, Alexandre Guénette, Johann Laconte, Vladimír Kubelka, François Pomerleau:
Extrinsic calibration for highly accurate trajectories reconstruction. - Shicong Cen, Yuejie Chi, Simon S. Du, Lin Xiao:
Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games. - Tianyu Huang, Bowen Dong, Yunhan Yang, Xiaoshui Huang, Rynson W. H. Lau, Wanli Ouyang, Wangmeng Zuo:
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training. - Erik Skau, Andrew Hollis, Stephan J. Eidenbenz, Kim Ø. Rasmussen, Boian S. Alexandrov:
Process Modeling, Hidden Markov Models, and Non-negative Tensor Factorization with Model Selection. - (Withdrawn) On Stability and Generalization of Bilevel Optimization Problem.
- Sixiang Chen, Tian Ye, Yun Liu, Erkang Chen:
Dual-former: Hybrid Self-attention Transformer for Efficient Image Restoration. - Nikunj Saunshi, Arushi Gupta, Mark Braverman, Sanjeev Arora:
Understanding Influence Functions and Datamodels via Harmonic Analysis. - Erin Weisbart, Beth A. Cimini:
Distributed-Something: scripts to leverage AWS storage and computing for distributed workflows at scale. - Samuel Lanthaler, Roberto Molinaro, Patrik Hadorn, Siddhartha Mishra:
Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities. - Zhibo Liu, Yuanyuan Yuan, Shuai Wang, Xiaofei Xie, Lei Ma:
Decompiling x86 Deep Neural Network Executables. - Tsung-Wei Huang:
qTask: Task-parallel Quantum Circuit Simulation with Incrementality. - Saif S. S. Al-Wahaibi, Qiugang Lu:
Improving Convolutional Neural Networks for Fault Diagnosis by Assimilating Global Features. - Mononito Goswami, Cristian Challu, Laurent Callot, Lenon Minorics, Andrey Kan:
Unsupervised Model Selection for Time-series Anomaly Detection. - Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
On The Effects Of Data Normalisation For Domain Adaptation On EEG Data. - Akshay Hinduja, Yunsik Ohm, Jiahe Liao, Carmel Majidi, Michael Kaess:
Acoustic Localization and Communication Using a MEMS Microphone for Low-cost and Low-power Bio-inspired Underwater Robots. - Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou:
Nonstationary data stream classification with online active learning and siamese neural networks. - Sovesh Mohapatra:
Characterization of effects of transfer learning across domains and languages. - Maria Castaldo, Paolo Frasca, Tommaso Venturini, Floriana Gargiulo:
Doing data science with platforms crumbs: an investigation into fakes views on YouTube. - Mohsen Ghaffari:
Local Computation of Maximal Independent Set. - Jiaxin Pei, Vítor Silva, Maarten W. Bos, Yozon Liu, Leonardo Neves, David Jurgens, Francesco Barbieri:
SemEval 2023 Task 9: Multilingual Tweet Intimacy Analysis. - Jinyuan Jia, Wenjie Qu, Neil Zhenqiang Gong:
MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples. - Guanglin Li, Yifeng Li, Zhichao Ye, Qihang Zhang, Tao Kong, Zhaopeng Cui, Guofeng Zhang:
Generative Category-Level Shape and Pose Estimation with Semantic Primitives. - Adrian Bulat, Georgios Tzimiropoulos:
Language-Aware Soft Prompting for Vision & Language Foundation Models. - Abitha Thankaraj, Lerrel Pinto:
That Sounds Right: Auditory Self-Supervision for Dynamic Robot Manipulation. - Ziming Liu, Eric J. Michaud, Max Tegmark:
Omnigrok: Grokking Beyond Algorithmic Data. - Aditya Gulati, Miguel Angel Lozano, Bruno Lepri, Nuria Oliver:
BIASeD: Bringing Irrationality into Automated System Design. - Seungyeon Shin, Ah-hyeon Jin, Soyoung Yoo, Sunghee Lee, ChangGon Kim, Sungpil Heo, Namwoo Kang:
Wheel Impact Test by Deep Learning: Prediction of Location and Magnitude of Maximum Stress. - Sandipan Das, Navid Mahabadi, Maurice F. Fallon, Saikat Chatterjee:
M-LIO: Multi-lidar, multi-IMU odometry with sensor dropout tolerance. - Mohammad Taha Toghani, César A. Uribe:
Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation. - Mingyu Cai, Makai Mann, Zachary Serlin, Kevin Leahy, Cristian-Ioan Vasile:
Learning Minimally-Violating Continuous Control for Infeasible Linear Temporal Logic Specifications. - Paul Kinsler, Sean Holman, Andrew Elliott, Cathryn N. Mitchell, R. Eddie Wilson:
Agent swarms: cooperation and coordination under stringent communications constraint. - Stanley R. Lewis, Jana Pavlasek, Odest Chadwicke Jenkins:
NARF22: Neural Articulated Radiance Fields for Configuration-Aware Rendering. - Zehong Wang, Qi Li, Donghua Yu:
TPGNN: Learning High-order Information in Dynamic Graphs via Temporal Propagation. - Fabien Dufoulon, Shay Kutten, William K. Moses Jr., Gopal Pandurangan, David Peleg:
An Almost Singularly Optimal Asynchronous Distributed MST Algorithm. - Mohammad Taha Toghani, Soomin Lee, César A. Uribe:
PersA-FL: Personalized Asynchronous Federated Learning. - Mandar Juvekar, Arian Nadjimzadah:
Notions of Tensor Rank. - Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang:
ContraGen: Effective Contrastive Learning For Causal Language Model. - Kaiwen Zha, Peng Cao, Yuzhe Yang, Dina Katabi:
Supervised Contrastive Regression. - Christina Sartzetaki, Georgios Paraskevopoulos, Alexandros Potamianos:
Extending Compositional Attention Networks for Social Reasoning in Videos. - Mat Kelly:
Aggregator Reuse and Extension for Richer Web Archive Interaction. - Kensuke Nakamura, Somil Bansal:
Online Update of Safety Assurances Using Confidence-Based Predictions. - Yujie Wang, Xuelin Chen, Baoquan Chen:
SinGRAV: Learning a Generative Radiance Volume from a Single Natural Scene. - Paria Ghaheri, Hamid Nasiri, Ahmadreza Shateri, Arman Homafar:
Diagnosis of Parkinson's Disease Based on Voice Signals Using SHAP and Hard Voting Ensemble Method. - David Chiang, Colin McDonald, Chung-chieh Shan:
Exact Recursive Probabilistic Programming. - Ziqing Wang, Yuetong Fang, Jiahang Cao, Zhongrui Wang, Renjing Xu:
Efficient Spiking Transformer Enabled By Partial Information. - Andreas Spilz, Michael Munz:
Automatic Assessment of Functional Movement Screening Exercises with Deep Learning Architectures. - Tiago Salvador, Kilian Fatras, Ioannis Mitliagkas, Adam M. Oberman:
A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods. - Ziyin Liu, Zihao Wang:
Sparsity by Redundancy: Solving L1 with a Simple Reparametrization. - Cenk Baykal, Khoa Trinh, Fotis Iliopoulos, Gaurav Menghani, Erik Vee:
Robust Active Distillation. - Fazilet Gokbudak, Cengiz Öztireli:
One-shot Detail Retouching with Patch Space Neural Field based Transformation Blending. - Yue Yu, Shenghui Chen, David Fridovich-Keil, Ufuk Topcu:
Cost Design in Atomic Routing Games. - James J. Clark:
Immunological Approaches to Load Balancing in MIMD Systems. - Yunxiang Zhang, Benjamin Liang, Boyuan Chen, Paul M. Torrens, Seyed Farokh Atashzar, Dahua Lin, Qi Sun:
Force-Aware Interface via Electromyography for Natural VR/AR Interaction. - Olivier Binette, Sokhna A. York, Emma Hickerson, Youngsoo Baek, Sarvo Madhavan, Christina Jones:
Estimating the Performance of Entity Resolution Algorithms: Lessons Learned Through PatentsView.org. - Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin:
Interpretable Option Discovery using Deep Q-Learning and Variational Autoencoders. - Lili Wang, Ji Liu, A. Stephen Morse, Brian D. O. Anderson:
Distributed State Estimation for Linear Systems. - Rafid Mahmood, James Lucas, José M. Álvarez, Sanja Fidler, Marc T. Law:
Optimizing Data Collection for Machine Learning. - Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
CaiRL: A High-Performance Reinforcement Learning Environment Toolkit. - Jean Barbier, Francesco Camilli, Marco Mondelli, Manuel Sáenz:
Bayes-optimal limits in structured PCA, and how to reach them. - Polykarpos Thomadakis, Nikos Chrisochoides:
Towards Performance Portable Programming for Distributed Heterogeneous Systems. - Abulhair Saparov, He He:
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought. - Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kianté Brantley, Jack Hessel, Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, Yejin Choi:
Is Reinforcement Learning (Not) for Natural Language Processing?: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization. - Antonios Saravanos, Dongnanzi Zheng, Stavros Zervoudakis:
The Effect of Warm-Glow on User Perceived Usability and Intention to Adopt Technology: Extending UTAUT2. - Lazar Supic, Terrence C. Stewart:
Learning over time using a neuromorphic adaptive control algorithm for robotic arms. - Wachirawit Ponghiran, Chamika Mihiranga Liyanagedera, Kaushik Roy:
Event-based Temporally Dense Optical Flow Estimation with Sequential Neural Networks. - Andrea Ceni:
Random orthogonal additive filters: a solution to the vanishing/exploding gradient of deep neural networks. - Yuni Fuchioka, Zhaoming Xie, Michiel van de Panne:
OPT-Mimic: Imitation of Optimized Trajectories for Dynamic Quadruped Behaviors. - Bernard Lange, Masha Itkina, Mykel J. Kochenderfer:
LOPR: Latent Occupancy PRediction using Generative Models. - Mauricio Jacobo-Romero, Danilo S. Carvalho, André Freitas:
Estimating productivity gains in digital automation. - Guangyi Chen, Weiran Yao, Xiangchen Song, Xinyue Li, Yongming Rao, Kun Zhang:
Prompt Learning with Optimal Transport for Vision-Language Models. - Xiang Guo, Austin Angulo, Arash Tavakoli, Erin Robartes, T. Donna Chen, Arsalan Heydarian:
Rethinking infrastructure design: Evaluating pedestrians and VRUs' psychophysiological and behavioral responses to different roadway designs. - Joar Bagge, Anna-Karin Tornberg:
Fast Ewald summation for Stokes flow with arbitrary periodicity. - Mathilde Abrassart, Guillaume Doras:
And what if two musical versions don't share melody, harmony, rhythm, or lyrics ? - Charles Godfrey, Elise Bishoff, Myles Mckay, Davis Brown, Grayson Jorgenson, Henry Kvinge, Eleanor Byler:
Convolutional networks inherit frequency sensitivity from image statistics. - Ke Shen, Mayank Kejriwal:
Understanding Prior Bias and Choice Paralysis in Transformer-based Language Representation Models through Four Experimental Probes. - Hattan Althebeiti, David Mohaisen:
Enriching Vulnerability Reports Through Automated and Augmented Description Summarization. - Ke Shen, Mayank Kejriwal:
Understanding Substructures in Commonsense Relations in ConceptNet. - Benjamin Thérien, Krzysztof Czarnecki:
Interpretable Deep Tracking. - Shiliang Wu, Wen Li, Hehui Wang:
The perturbation bound of the extended vertical linear complementarity problem. - Brandon Victor, Zhen He, Aiden Nibali:
A systematic review of the use of Deep Learning in Satellite Imagery for Agriculture. - Sifan Wang, Hanwen Wang, Jacob H. Seidman, Paris Perdikaris:
Random Weight Factorization Improves the Training of Continuous Neural Representations. - Antoni Rosinol, John J. Leonard, Luca Carlone:
Probabilistic Volumetric Fusion for Dense Monocular SLAM. - Mahdi Shamsi, Soosan Beheshti:
Relative Entropy (RE) Based LTI System Modeling Equipped with time delay Estimation and Online Modeling. - Siliang Zeng, Mingyi Hong, Alfredo García:
Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees. - Ewerton R. Vieira, Kai Gao, Daniel Nakhimovich, Kostas E. Bekris, Jingjin Yu:
Persistent Homology Guided Monte-Carlo Tree Search for Effective Non-Prehensile Manipulation. - Yan Ding, Xiaohan Zhang, Saeid Amiri, Nieqing Cao, Hao Yang, Chad Esselink, Shiqi Zhang:
Robot Task Planning and Situation Handling in Open Worlds. - Chaojian Yu, Dawei Zhou, Li Shen, Jun Yu, Bo Han, Mingming Gong, Nannan Wang, Tongliang Liu:
Strength-Adaptive Adversarial Training. - Qiwei Feng, Bin Han, Peter D. Minev:
Compact 9-Point Finite Difference Methods with High Accuracy Order and/or M-Matrix Property for Elliptic Cross-Interface Problems. - Ewerton R. Vieira, Aravind Sivaramakrishnan, Yao Song, Edgar Granados, Marcio Gameiro, Konstantin Mischaikow, Ying Hung, Kostas E. Bekris:
Data-Efficient Characterization of the Global Dynamics of Robot Controllers with Confidence Guarantees. - Batu Ozturkler, Nikolay Malkin, Zhen Wang, Nebojsa Jojic:
ThinkSum: Probabilistic reasoning over sets using large language models. - Zhiqing Sun, Xuezhi Wang, Yi Tay, Yiming Yang, Denny Zhou:
Recitation-Augmented Language Models. - Didem Demirag, Mina Namazi, Erman Ayday, Jeremy Clark:
Privacy-Preserving Link Prediction. - Hanzhe Teng, Dimitrios Chatziparaschis, Xinyue Kan, Amit K. Roy-Chowdhury, Konstantinos Karydis:
Centroid Distance Keypoint Detector for Colored Point Clouds. - Zixiao Wang, Yuluo Guo, Jin Zhao, Yu Zhang, Hui Yu, Xiaofei Liao, Hai Jin, Biao Wang, Ting Yu:
GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction. - Aahlad Manas Puli, Nitish Joshi, He He, Rajesh Ranganath:
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation. - Qing Xue, Yi-Jing Liu, Yao Sun, Jian Wang, Li Yan, Gang Feng, Shaodan Ma:
Beam Management in Ultra-dense mmWave Network via Federated Reinforcement Learning: An Intelligent and Secure Approach. - Jorge L. Suzuki, Maryam Naghibolhosseini, Mohsen Zayernouri:
A General Return-Mapping Framework for Fractional Visco-Elasto-Plasticity. - Liangjie Chen, John W. Simpson-Porco:
A Fixed-Point Algorithm for the AC Power Flow Problem. - Matin Macktoobian, Guillaume Ferdinand Duc:
Meta Navigation Functions: Adaptive Associations for Coordination of Multi-Agent Systems. - Hongrui Chen, Aditya Joglekar, Kate S. Whitefoot, Levent Burak Kara:
Concurrent build direction, part segmentation, and topology optimization for additive manufacturing using neural networks. - Xiaochen Li, Yuke Hu, Weiran Liu, Hanwen Feng, Li Peng, Yuan Hong, Kui Ren, Zhan Qin:
OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization. - Matin Macktoobian:
Reconfigurable Timed Discrete-Event Systems. - Weiying Wang, Anne Kemmeren, Daniel Son, Javier Alonso-Mora, Stephanie Gil:
Wi-Closure: Reliable and Efficient Search of Inter-robot Loop Closures Using Wireless Sensing. - Dídac Surís, Carl Vondrick:
Representing Spatial Trajectories as Distributions. - Jaehyun Park, Subin Lee, Eon Kim, Byeongjun Moon, Dabeen Yu, Yeonseung Yu, Junghwan Kim:
ASAP: Accurate semantic segmentation for real time performance. - Lucas P. Moreira:
Automated Medical Device Display Reading Using Deep Learning Object Detection. - Fangtao Yu, Tao Yang, Qiuzhuo Chen:
Doubly-Irregular Repeat-Accumulate Codes over Integer Rings for Multi-user Communications. - Matin Macktoobian, W. Murray Wonham:
Automatic Reconfiguration of Untimed Discrete-Event Systems. - Sabah Al-Fedaghi:
Conceptual Modeling Applied to Data Semantics. - Xu Yang, Hanwang Zhang, Chongyang Gao, Jianfei Cai:
Learning to Collocate Visual-Linguistic Neural Modules for Image Captioning. - Letian Fu, Huang Huang, Lars Berscheid, Hui Li, Ken Goldberg, Sachin Chitta:
Safely Learning Visuo-Tactile Feedback Policies in Real For Industrial Insertion. - Brian DuSell, David Chiang:
The Surprising Computational Power of Nondeterministic Stack RNNs. - Peter Baumgartner, Daniel V. Smith, Mashud Rana, Reena Kapoor, Elena Tartaglia, Andreas Schutt, Ashfaqur Rahman, John Taylor, Simon Dunstall:
Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective. - Anjun Chen, Xiangyu Wang, Kun Shi, Shaohao Zhu, Yingfeng Chen, Bin Fang, Jiming Chen, Yuchi Huo, Qi Ye:
ImmFusion: Robust mmWave-RGB Fusion for 3D Human Body Reconstruction in All Weather Conditions. - Kentaro Ohno, Sekitoshi Kanai, Yasutoshi Ida:
Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks. - Wen-Yan Lin, Siying Liu, Bing Tian Dai, Hongdong Li:
Distance Based Image Classification: A solution to generative classification's conundrum? - Chen Liang, Simiao Zuo, Qingru Zhang, Pengcheng He, Weizhu Chen, Tuo Zhao:
Less is More: Task-aware Layer-wise Distillation for Language Model Compression. - Yinfeng Yu, Lele Cao, Fuchun Sun, Xiaohong Liu, Liejun Wang:
Pay Self-Attention to Audio-Visual Navigation. - Mehrad Faridan, Marcus Friedel, Ryo Suzuki:
UltraBots: Large-Area Mid-Air Haptics for VR with Robotically Actuated Ultrasound Transducers. - Sravanti Addepalli, Anshul Nasery, R. Venkatesh Babu, Praneeth Netrapalli, Prateek Jain:
Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks. - Keita Mason, Joshua Knights, Milad Ramezani, Peyman Moghadam, Dimity Miller:
Uncertainty-Aware Lidar Place Recognition in Novel Environments. - Marcus Friedel, Ehud Sharlin, Ryo Suzuki:
HapticLever: Kinematic Force Feedback using a 3D Pantograph. - Jiajian Lu, Offer Grembek, Mark Hansen:
Connecting Surrogate Safety Measures to Crash Probablity via Causal Probabilistic Time Series Prediction. - Yoonjae Lee, Efstathios Bakolas:
Two-Player Reconnaissance Game with Half-Planar Target and Retreat Regions. - Xiaoying Wei, Xiaofu Jin, Mingming Fan:
Communication in Immersive Social Virtual Reality: A Systematic Review of 10 Years' Studies. - Haruki Nishimura, Jean Mercat, Blake Wulfe, Rowan McAllister, Adrien Gaidon:
RAP: Risk-Aware Prediction for Robust Planning. - Esha Shandilya, Mingming Fan:
Understanding Older Adults' Perceptions and Challenges in Using AI-enabled Everyday Technologies. - Yunsung Lee, Gyuseong Lee, Kwangrok Ryoo, Hyojun Go, Jihye Park, Seungryong Kim:
Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling. - Man Luo, Shashank Jain, Anchit Gupta, Arash Einolghozati, Barlas Oguz, Debojeet Chatterjee, Xilun Chen, Chitta Baral, Peyman Heidari:
A Study on the Efficiency and Generalization of Light Hybrid Retrievers. - Jafar Abbaszadeh Chekan, Cédric Langbort:
Safety-Aware Learning-Based Control of Systems with Uncertainty Dependent Constraints (extended version). - Anum Talpur, Mohan Gurusamy:
Optimizing Vehicle-to-Edge Mapping with Load Balancing for Attack-Resilience in IoV. - Haipeng Luo, Hanghang Tong, Mengxiao Zhang, Yuheng Zhang:
Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs. - Ray Chen Zheng, Kaizhe Hu, Zhecheng Yuan, Boyuan Chen, Huazhe Xu:
Extraneousness-Aware Imitation Learning. - Jibang Wu, Weiran Shen, Fei Fang, Haifeng Xu:
Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality. - Thanh Vu, Yanqi Zhou, Chunfeng Wen, Yueqi Li, Jan-Michael Frahm:
Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search. - Yikai Wang, TengQi Ye, Lele Cao, Wenbing Huang, Fuchun Sun, Fengxiang He, Dacheng Tao:
Bridged Transformer for Vision and Point Cloud 3D Object Detection. - Hongbin Lin, Qian Gao, Xiangyu Chu, Qi Dou, Anton Deguet, Peter Kazanzides, K. W. Samuel Au:
Learning Deep Nets for Gravitational Dynamics with Unknown Disturbance through Physical Knowledge Distillation: Initial Feasibility Study. - Rui Yuan, Simon S. Du, Robert M. Gower, Alessandro Lazaric, Lin Xiao:
Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies. - Anurag Ghosh, Srinivasan Iyengar, Stephen Lee, Anuj Rathore, Venkat N. Padmanabhan:
Streaming Video Analytics On The Edge With Asynchronous Cloud Support. - Hongbin Lin, Bin Li, Yunhui Liu, Kwok Wai Samuel Au:
Open-source High-precision Autonomous Suturing Framework With Visual Guidance. - Joon-Hyuk Ko, Hankyul Koh, Nojun Park, Wonho Jhe:
Homotopy-based training of NeuralODEs for accurate dynamics discovery. - Runyu Jin, Qirui Yang:
EdgeFaaS: A Function-based Framework for Edge Computing. - Sebastian Wallkötter, Mohamed Chetouani, Ginevra Castellano:
SLOT-V: Supervised Learning of Observer Models for Legible Robot Motion Planning in Manipulation. - Marcos Moreno-Gonzalez, Antonio Artuñedo, Jorge Villagra, Cédric Join, Michel Fliess:
Speed-Adaptive Model-Free Lateral Control for Automated Cars. - Han Feng, Baturalp Yalcin, Javad Lavaei:
Learning of Dynamical Systems under Adversarial Attacks - Null Space Property Perspective. - Rasool Fakoor, Jonas Mueller, Zachary C. Lipton, Pratik Chaudhari, Alexander J. Smola:
Data drift correction via time-varying importance weight estimator. - Barak Gahtan, Reuven Cohen, Alex M. Bronstein, Gil Kedar:
Deep Reinforcement Learning for Scheduling and Power Allocation in a 5G Urban Mesh. - Lunyiu Nie, Jiuding Sun, Yanlin Wang, Lun Du, Shi Han, Dongmei Zhang, Lei Hou, Juanzi Li, Jidong Zhai:
Guiding the PLMs with Semantic Anchors as Intermediate Supervision: Towards Interpretable Semantic Parsing. - Amin Babadi, Yi Zhao, Juho Kannala, Alexander Ilin, Joni Pajarinen:
Continuous Monte Carlo Graph Search. - Jiale Zhang, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan:
Accurate Image Restoration with Attention Retractable Transformer. - Kangchen Lv, Mingrui Yu, Yifan Pu, Xiang Li:
Learning to Occlusion-Robustly Estimate 3-D States of Deformable Linear Objects from Single-Frame Point Clouds. - Yasuhiro Yao, Ryoichi Ishikawa, Shingo Ando, Kana Kurata, Naoki Ito, Jun Shimamura, Takeshi Oishi:
Non-learning Stereo-aided Depth Completion under Mis-projection via Selective Stereo Matching. - Minghui Li, Wei Wan, Jianrong Lu, Shengshan Hu, Junyu Shi, Leo Yu Zhang, Man Zhou, Yifeng Zheng:
Shielding Federated Learning: Mitigating Byzantine Attacks with Less Constraints. - Zican Zha, Hao Tang, Yunlian Sun, Jinhui Tang:
Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment. - Nick Pepper, Marc Thomas, George De Ath, Enrico Oliver, Richard Cannon, Richard M. Everson, Tim J. Dodwell:
A Probabilistic Model for Aircraft in Climb using Monotonic Functional Gaussian Process Emulators. - Sally Khaidem, Mansi Sharma:
A Novel Light Field Coding Scheme Based on Deep Belief Network and Weighted Binary Images for Additive Layered Displays. - Tenglong Ao, Qingzhe Gao, Yuke Lou, Baoquan Chen, Libin Liu:
Rhythmic Gesticulator: Rhythm-Aware Co-Speech Gesture Synthesis with Hierarchical Neural Embeddings. - Alexander Becker, Thomas Liebig:
Certified Data Removal in Sum-Product Networks. - Zixuan Zhang, Yuning Jiang, Yuanming Shi, Ye Shi, Wei Chen:
Federated Reinforcement Learning for Real-Time Electric Vehicle Charging and Discharging Control. - Thomas F. Tiotto, Anouk S. Goossens, A. E. Dima, Chris Yakopcic, Tamalika Banerjee, Jelmer P. Borst, Niels A. Taatgen:
A Compact Model of Interface-Type Memristors Linking Physical and Device Properties. - Nicky Zimmerman, Tiziano Guadagnino, Xieyuanli Chen, Jens Behley, Cyrill Stachniss:
Long-Term Localization using Semantic Cues in Floor Plan Maps. - Vítor Fortes Rey, Sungho Suh, Paul Lukowicz:
Learning from the Best: Contrastive Representations Learning Across Sensor Locations for Wearable Activity Recognition. - Hoda Fares, Margherita Ronchini, Milad Zamani, Hooman Farkhani, Farshad Moradi:
In the realm of hybrid Brain: Human Brain and AI. - Richard Schoonhoven, Ben van Werkhoven, Kees Joost Batenburg:
Benchmarking optimization algorithms for auto-tuning GPU kernels. - Urtzi Otamendi, Izar Azpiroz, Marco Quartulli, Igor G. Olaizola, Francisco J. Perez, David Alda, Xabier Garitano:
Geo-imagery management and statistical processing in a regional context using Open Data Cube. - Kunal Chowdhury:
Designing a parallel suffix sort. - Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen:
OrderlessChain: Do Permissioned Blockchains Need Total Global Order of Transactions? - Zhijing Jin, Sydney Levine, Fernando Gonzalez, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum, Bernhard Schölkopf:
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment. - Nicolas Heist, Heiko Paulheim:
Transformer-based Subject Entity Detection in Wikipedia Listings. - Alexander A. Semenov, Konstantin Chukharev, Egor Tarasov, Daniil Chivilikhin, Viktor Kondratiev:
Estimating the hardness of SAT encodings for Logical Equivalence Checking of Boolean circuits. - Yuncheng Jiang, Zixun Zhang, Shixi Qin, Yao Guo, Zhen Li, Shuguang Cui:
APAUNet: Axis Projection Attention UNet for Small Target in 3D Medical Segmentation. - Ahmed Baza, Ayush Gupta, Ekaterina Dorzhieva, Aleksey Fedoseev, Dzmitry Tsetserukou:
SwarMan: Anthropomorphic Swarm of Drones Avatar with Body Tracking and Deep Learning-Based Gesture Recognition. - Manas Mejari, Dario Piga:
Direct identification of continuous-time linear switched state-space models. - Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri:
Generative Models and Learning Algorithms for Core-Periphery Structured Graphs. - Hasan Karjoun, Abdelaziz Beljadid:
A numerical model preserving nontrivial steady-state solutions for predicting waves run-up on coastal areas. - Haoyu Pan, Hao Wu, Tan Yang:
Enhancing Spatiotemporal Prediction Model using Modular Design and Beyond. - Joel Jang, Dongkeun Yoon, Sohee Yang, Sungmin Cha, Moontae Lee, Lajanugen Logeswaran, Minjoon Seo:
Knowledge Unlearning for Mitigating Privacy Risks in Language Models. - Umberto M. Tomasini, Leonardo Petrini, Francesco Cagnetta, Matthieu Wyart:
How deep convolutional neural networks lose spatial information with training. - Matiss Rikters, Sanita Reinsone:
How Masterly Are People at Playing with Their Vocabulary? Analysis of the Wordle Game for Latvian. - Christian Huber, Enes Yavuz Ugan, Alexander Waibel:
Code-Switching without Switching: Language Agnostic End-to-End Speech Translation. - Peter L. Bartlett, Philip M. Long, Olivier Bousquet:
The Dynamics of Sharpness-Aware Minimization: Bouncing Across Ravines and Drifting Towards Wide Minima. - Kshitij Goyal, Wannes Meert, Hendrik Blockeel, Elia Van Wolputte, Koen Vanderstraeten, Wouter Pijpops, Kurt Jaspers:
Automatic Generation of Product Concepts from Positive Examples, with an Application to Music Streaming. - Suraj Kothawade, Atharv Savarkar, Venkat Iyer, Lakshman Tamil, Ganesh Ramakrishnan, Rishabh K. Iyer:
CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification. - Max A. Deppert, Klaus Jansen, Marten Maack, Simon Pukrop, Malin Rau:
Scheduling with Many Shared Resources. - Murad Dawood, Nils Dengler, Jorge de Heuvel, Maren Bennewitz:
Handling Sparse Rewards in Reinforcement Learning Using Model Predictive Control. - Suraj Kothawade, Akshit Srivastava, Venkat Iyer, Ganesh Ramakrishnan, Rishabh K. Iyer:
DIAGNOSE: Avoiding Out-of-distribution Data using Submodular Information Measures. - Urtzi Otamendi, Izar Azpiroz, Marco Quartulli, Igor G. Olaizola:
Integrating pre-processing pipelines in ODC based framework. - Yu Zhou, Andrey E. Polyakov, Gang Zheng:
Generalized Homogeneous Rigid-BodyAttitude Control. - Ge Li, Zeqi Jin, Michael Volpp, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann:
ProDMPs: A Unified Perspective on Dynamic and Probabilistic Movement Primitives. - Martino Ciaperoni, Han Xiao, Aristides Gionis:
Concise and interpretable multi-label rule sets. - Soohyun Park, Chanyoung Park, Soyi Jung, Minseok Choi, Joongheon Kim:
Age-of-Information Aware Contents Caching and Distribution for Connected Vehicles. - Mohammad Rajabdorri, Behzad Kazemtabrizi, Matthias C. M. Troffaes, Lukas Sigrist, Enrique Lobato:
Inclusion of Frequency Nadir constraint in the Unit Commitment Problem of Small Power Systems Using Machine Learning. - Edoardo Cetin, Benjamin Paul Chamberlain, Michael M. Bronstein, Jonathan J. Hunt:
Hyperbolic Deep Reinforcement Learning. - Maksim Zhdanov, Lisa Randolph, Thomas Kluge, Motoaki Nakatsutsumi, Christian Gutt, Marina Ganeva, Nico Hoffmann:
Amortized Bayesian Inference of GISAXS Data with Normalizing Flows. - Sarthak Gupta, Patrik Huber:
Neural Implicit Surface Reconstruction from Noisy Camera Observations. - Kilian Konstantin Haefeli, Karolis Martinkus, Nathanaël Perraudin, Roger Wattenhofer:
Diffusion Models for Graphs Benefit From Discrete State Spaces. - Christian Döding, Patrick Henning:
Uniform L∞-bounds for energy-conserving higher-order time integrators for the Gross-Pitaevskii equation with rotation. - Svenja Drücker, Robert Seifried:
Application of Stable Inversion to Flexible Manipulators Modeled by the ANCF. - Min Seok Lee, Seok Woo Yang, Sung Won Han:
GaIA: Graphical Information Gain based Attention Network for Weakly Supervised Point Cloud Semantic Segmentation. - Haomiao Ni, Yihao Liu, Sharon X. Huang, Yuan Xue:
Cross-identity Video Motion Retargeting with Joint Transformation and Synthesis. - Hans-Peter Lehmann, Peter Sanders, Stefan Walzer:
SicHash - Small Irregular Cuckoo Tables for Perfect Hashing. - Jiaju Lin, Jie Zhou, Qin Chen:
Causal Intervention-based Prompt Debiasing for Event Argument Extraction.