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09/21/2023
Improve the efficiency of deep reinforcement learning through semantic exploration guided by natural language
Reinforcement learning is a powerful technique for learning from trial a...
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09/12/2023
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning
Decision Transformer (DT), which employs expressive sequence modeling te...
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09/06/2023
Hide and Seek (HaS): A Lightweight Framework for Prompt Privacy Protection
Numerous companies have started offering services based on large languag...
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09/02/2023
DeepScaler: Holistic Autoscaling for Microservices Based on Spatiotemporal GNN with Adaptive Graph Learning
Autoscaling functions provide the foundation for achieving elasticity in...
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08/03/2023
Disentangling Multi-view Representations Beyond Inductive Bias
Multi-view (or -modality) representation learning aims to understand the...
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07/26/2023
Car-Studio: Learning Car Radiance Fields from Single-View and Endless In-the-wild Images
Compositional neural scene graph studies have shown that radiance fields...
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06/28/2023
A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges
Reaction and retrosynthesis prediction are fundamental tasks in computat...
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06/15/2023
SplatFlow: Learning Multi-frame Optical Flow via Splatting
Occlusion problem remains a key challenge in Optical Flow Estimation (OF...
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06/12/2023
NPVForensics: Jointing Non-critical Phonemes and Visemes for Deepfake Detection
Deepfake technologies empowered by deep learning are rapidly evolving, c...
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06/11/2023
Policy Regularization with Dataset Constraint for Offline Reinforcement Learning
We consider the problem of learning the best possible policy from a fixe...
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06/11/2023
Provably Efficient Adversarial Imitation Learning with Unknown Transitions
Imitation learning (IL) has proven to be an effective method for learnin...
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05/21/2023
Compact Lattice Gadget and Its Applications to Hash-and-Sign Signatures
This work aims to improve the practicality of gadget-based cryptosystems...
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05/10/2023
Fast Teammate Adaptation in the Presence of Sudden Policy Change
In cooperative multi-agent reinforcement learning (MARL), where an agent...
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05/10/2023
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers
Cooperative multi-agent reinforcement learning (CMARL) has shown to be p...
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05/09/2023
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation
Communication can promote coordination in cooperative Multi-Agent Reinfo...
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05/07/2023
Multi-agent Continual Coordination via Progressive Task Contextualization
Cooperative Multi-agent Reinforcement Learning (MARL) has attracted sign...
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05/07/2023
Robust Multi-agent Communication via Multi-view Message Certification
Many multi-agent scenarios require message sharing among agents to promo...
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03/21/2023
Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning
Semi-supervised learning (SSL) methods assume that labeled data, unlabel...
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03/16/2023
Smart Contract Generation for Inter-Organizational Process Collaboration
Currently, inter-organizational process collaboration (IOPC) has been wi...
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03/03/2023
How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement
Imitation learning aims to mimic the behavior of experts without explici...
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03/03/2023
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning
Uncertainty estimation is a key factor that makes deep learning reliable...
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02/19/2023
Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning
Utilizing messages from teammates can improve coordination in cooperativ...
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02/18/2023
Natural Language-conditioned Reinforcement Learning with Inside-out Task Language Development and Translation
Natural Language-conditioned reinforcement learning (RL) enables the age...
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01/27/2023
Theoretical Analysis of Offline Imitation With Supplementary Dataset
Behavioral cloning (BC) can recover a good policy from abundant expert d...
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01/05/2023
Self-Motivated Multi-Agent Exploration
In cooperative multi-agent reinforcement learning (CMARL), it is critica...
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12/28/2022
A Clustering-guided Contrastive Fusion for Multi-view Representation Learning
The past two decades have seen increasingly rapid advances in the field ...
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12/11/2022
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense
Federated recommendation (FedRec) can train personalized recommenders wi...
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12/08/2022
Momentum Calibration for Text Generation
The input and output of most text generation tasks can be transformed to...
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12/05/2022
Learning Physically Realizable Skills for Online Packing of General 3D Shapes
We study the problem of learning online packing skills for irregular 3D ...
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11/29/2022
Real-time Blind Deblurring Based on Lightweight Deep-Wiener-Network
In this paper, we address the problem of blind deblurring with high effi...
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11/14/2022
Does Debiasing Inevitably Degrade the Model Performance
Gender bias in language models has attracted sufficient attention becaus...
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11/06/2022
Knowledge is Power: Understanding Causality Makes Legal judgment Prediction Models More Generalizable and Robust
Legal judgment Prediction (LJP), aiming to predict a judgment based on f...
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11/02/2022
Singing Voice Synthesis with Vibrato Modeling and Latent Energy Representation
This paper proposes an expressive singing voice synthesis system by intr...
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10/19/2022
Domain generalization Person Re-identification on Attention-aware multi-operation strategery
Domain generalization person re-identification (DG Re-ID) aims to direct...
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10/13/2022
Multi-agent Dynamic Algorithm Configuration
Automated algorithm configuration relieves users from tedious, trial-and...
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10/11/2022
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems
Recommender systems are expected to be assistants that help human users ...
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09/30/2022
A Partially Functional Linear Modeling Framework for Integrating Genetic, Imaging, and Clinical Data
This paper is motivated by the joint analysis of genetic, imaging, and c...
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09/27/2022
MARS: A Motif-based Autoregressive Model for Retrosynthesis Prediction
Retrosynthesis is a major task for drug discovery. It is formulated as a...
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09/23/2022
On Efficient Reinforcement Learning for Full-length Game of StarCraft II
StarCraft II (SC2) poses a grand challenge for reinforcement learning (R...
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09/21/2022
WeLM: A Well-Read Pre-trained Language Model for Chinese
Large Language Models pre-trained with self-supervised learning have dem...
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09/16/2022
ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery
The last decade has witnessed a prosperous development of computational ...
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09/16/2022
V2HDM-Mono: A Framework of Building a Marking-Level HD Map with One or More Monocular Cameras
Marking-level high-definition maps (HD maps) are of great significance f...
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09/12/2022
Model-based Reinforcement Learning with Multi-step Plan Value Estimation
A promising way to improve the sample efficiency of reinforcement learni...
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08/31/2022
Deep Anomaly Detection and Search via Reinforcement Learning
Semi-supervised Anomaly Detection (AD) is a kind of data mining task whi...
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08/26/2022
MORI-RAN: Multi-view Robust Representation Learning via Hybrid Contrastive Fusion
Multi-view representation learning is essential for many multi-view task...
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08/23/2022
Convolutional Neural Networks with A Topographic Representation Module for EEG-Based Brain-Computer Interfaces
Objective: Convolutional Neural Networks (CNNs) have shown great potenti...
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08/19/2022
Unified Policy Optimization for Continuous-action Reinforcement Learning in Non-stationary Tasks and Games
This paper addresses policy learning in non-stationary environments and ...
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08/09/2022
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution
Generating agents that can achieve Zero-Shot Coordination (ZSC) with uns...
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08/03/2022
Understanding Adversarial Imitation Learning in Small Sample Regime: A Stage-coupled Analysis
Imitation learning learns a policy from expert trajectories. While the e...
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07/26/2022
