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09/03/2023
SOAR: Scene-debiasing Open-set Action Recognition
Deep learning models have a risk of utilizing spurious clues to make pre...
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08/23/2023
Adaptive Encoding Strategies for Erasing-Based Lossless Floating-Point Compression
Lossless floating-point time series compression is crucial for a wide ra...
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08/07/2023
DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data
Despite the tremendous advances achieved over the past years by deep lea...
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07/17/2023
Quarl: A Learning-Based Quantum Circuit Optimizer
Optimizing quantum circuits is challenging due to the very large search ...
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07/06/2023
BrickPal: Augmented Reality-based Assembly Instructions for Brick Models
The assembly instruction is a mandatory component of Lego-like brick set...
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06/29/2023
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores
The ever-growing complexity of reinforcement learning (RL) tasks demands...
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06/28/2023
Erasing-based lossless compression method for streaming floating-point time series
There are a prohibitively large number of floating-point time series dat...
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06/27/2023
Automatic Truss Design with Reinforcement Learning
Truss layout design, namely finding a lightweight truss layout satisfyin...
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06/18/2023
Language-Guided Generation of Physically Realistic Robot Motion and Control
We aim to control a robot to physically behave in the real world followi...
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06/14/2023
Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios
Recent deep neural networks (DNNs) have come to rely on vast amounts of ...
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05/29/2023
How Effective Are Neural Networks for Fixing Security Vulnerabilities
Security vulnerability repair is a difficult task that is in dire need o...
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03/31/2023
Grounding Object Relations in Language-Conditioned Robotic Manipulation with Semantic-Spatial Reasoning
Grounded understanding of natural language in physical scenes can greatl...
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03/16/2023
Emotional Reaction Intensity Estimation Based on Multimodal Data
This paper introduces our method for the Emotional Reaction Intensity (E...
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03/16/2023
Facial Affective Behavior Analysis Method for 5th ABAW Competition
Facial affective behavior analysis is important for human-computer inter...
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02/20/2023
Differentiable Arbitrating in Zero-sum Markov Games
We initiate the study of how to perturb the reward in a zero-sum Markov ...
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02/06/2023
Domain Re-Modulation for Few-Shot Generative Domain Adaptation
In this study, we investigate the task of few-shot Generative Domain Ada...
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02/03/2023
Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased
There is a recent trend of applying multi-agent reinforcement learning (...
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01/09/2023
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration
We consider the problem of cooperative exploration where multiple robots...
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11/17/2022
AlphaSnake: Policy Iteration on a Nondeterministic NP-hard Markov Decision Process
Reinforcement learning has recently been used to approach well-known NP-...
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11/11/2022
PILE: Pairwise Iterative Logits Ensemble for Multi-Teacher Labeled Distillation
Pre-trained language models have become a crucial part of ranking system...
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10/10/2022
FedBA: Non-IID Federated Learning Framework in UAV Networks
With the development and progress of science and technology, the Interne...
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07/20/2022
Multi-Task Learning for Emotion Descriptors Estimation at the fourth ABAW Challenge
Facial valence/arousal, expression and action unit are related tasks in ...
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07/20/2022
Hand-Assisted Expression Recognition Method from Synthetic Images at the Fourth ABAW Challenge
Learning from synthetic images plays an important role in facial express...
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06/24/2022
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning
It has been a recent trend to leverage the power of supervised learning ...
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06/15/2022
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning
Many advances in cooperative multi-agent reinforcement learning (MARL) a...
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04/19/2022
Self-Calibrated Efficient Transformer for Lightweight Super-Resolution
Recently, deep learning has been successfully applied to the single-imag...
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04/12/2022
Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets
Can a robot autonomously learn to design and construct a bridge from var...
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04/09/2022
E^2TAD: An Energy-Efficient Tracking-based Action Detector
Video action detection (spatio-temporal action localization) is usually ...
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04/04/2022
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization
We present Reward-Switching Policy Optimization (RSPO), a paradigm to di...
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02/11/2022
Understanding Curriculum Learning in Policy Optimization for Solving Combinatorial Optimization Problems
Over the recent years, reinforcement learning (RL) has shown impressive ...
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12/13/2021
Native Chinese Reader: A Dataset Towards Native-Level Chinese Machine Reading Comprehension
We present Native Chinese Reader (NCR), a new machine reading comprehens...
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12/13/2021
A Benchmark for Low-Switching-Cost Reinforcement Learning
A ubiquitous requirement in many practical reinforcement learning (RL) a...
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12/12/2021
Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward
Discovering hazardous scenarios is crucial in testing and further improv...
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11/17/2021
Nonlinear Intensity Sonar Image Matching based on Deep Convolution Features
In the field of deep-sea exploration, sonar is presently the only effici...
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11/08/2021
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems
We introduce a curriculum learning algorithm, Variational Automatic Curr...
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11/03/2021
PhyloTransformer: A Discriminative Model for Mutation Prediction Based on a Multi-head Self-attention Mechanism
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused ...
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10/12/2021
SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurring
Image deblurring is a classical computer vision problem that aims to rec...
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10/12/2021
Learning Efficient Multi-Agent Cooperative Visual Exploration
We consider the task of visual indoor exploration with multiple agents, ...
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09/08/2021
Sequence Level Contrastive Learning for Text Summarization
Contrastive learning models have achieved great success in unsupervised ...
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08/21/2021
Temporal Induced Self-Play for Stochastic Bayesian Games
One practical requirement in solving dynamic games is to ensure that the...
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08/05/2021
Learning to Design and Construct Bridge without Blueprint
Autonomous assembly has been a desired functionality of many intelligent...
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04/26/2021
FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia
Existing deep learning technologies generally learn the features of ches...
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04/07/2021
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels
Graph neural networks (GNNs) have achieved tremendous success in graph m...
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03/21/2021
Reference-Aided Part-Aligned Feature Disentangling for Video Person Re-Identification
Recently, video-based person re-identification (re-ID) has drawn increas...
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03/02/2021
The Surprising Effectiveness of MAPPO in Cooperative, Multi-Agent Games
Proximal Policy Optimization (PPO) is a popular on-policy reinforcement ...
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10/16/2020
Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers
Unsupervised extractive document summarization aims to select important ...
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09/23/2020
Streaming Graph Neural Networks via Continual Learning
Graph neural networks (GNNs) have achieved strong performance in various...
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09/16/2020
Hybrid-Attention Guided Network with Multiple Resolution Features for Person Re-Identification
Extracting effective and discriminative features is very important for a...
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09/10/2020
Multi-Authority Ciphertext-Policy Attribute Based Encryption With Accountability
Attribute-based encryption (ABE) is a promising tool for implementing fi...
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04/16/2020
