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08/05/2023
DiffDance: Cascaded Human Motion Diffusion Model for Dance Generation
When hearing music, it is natural for people to dance to its rhythm. Aut...
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08/03/2023
SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning
Textual graphs (TGs) are graphs whose nodes correspond to text (sentence...
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06/08/2023
Offline Prioritized Experience Replay
Offline reinforcement learning (RL) is challenged by the distributional ...
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06/05/2023
ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images
Structured text extraction is one of the most valuable and challenging a...
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06/03/2023
Efficient Multi-Grained Knowledge Reuse for Class Incremental Segmentation
Class Incremental Semantic Segmentation (CISS) has been a trend recently...
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06/01/2023
Improving and Benchmarking Offline Reinforcement Learning Algorithms
Recently, Offline Reinforcement Learning (RL) has achieved remarkable pr...
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05/31/2023
Efficient Diffusion Policies for Offline Reinforcement Learning
Offline reinforcement learning (RL) aims to learn optimal policies from ...
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05/16/2023
Generative Table Pre-training Empowers Models for Tabular Prediction
Recently, the topic of table pre-training has attracted considerable res...
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05/03/2023
Nonparametric Generative Modeling with Conditional and Locally-Connected Sliced-Wasserstein Flows
Sliced-Wasserstein Flow (SWF) is a promising approach to nonparametric g...
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04/22/2023
A Review of Deep Learning for Video Captioning
Video captioning (VC) is a fast-moving, cross-disciplinary area of resea...
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04/13/2023
CoSDA: Continual Source-Free Domain Adaptation
Without access to the source data, source-free domain adaptation (SFDA) ...
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03/25/2023
Masked Diffusion Transformer is a Strong Image Synthesizer
Despite its success in image synthesis, we observe that diffusion probab...
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03/01/2023
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory
Kohn-Sham Density Functional Theory (KS-DFT) has been traditionally solv...
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02/27/2023
Contrastive Video Question Answering via Video Graph Transformer
We propose to perform video question answering (VideoQA) in a Contrastiv...
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02/21/2023
On Calibrating Diffusion Probabilistic Models
Recently, diffusion probabilistic models (DPMs) have achieved promising ...
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02/09/2023
Better Diffusion Models Further Improve Adversarial Training
It has been recognized that the data generated by the denoising diffusio...
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02/09/2023
Bag of Tricks for Training Data Extraction from Language Models
With the advance of language models, privacy protection is receiving mor...
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02/03/2023
Learning to Optimize for Reinforcement Learning
In recent years, by leveraging more data, computation, and diverse tasks...
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02/02/2023
Visual Imitation Learning with Patch Rewards
Visual imitation learning enables reinforcement learning agents to learn...
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01/28/2023
Does Federated Learning Really Need Backpropagation?
Federated learning (FL) is a general principle for decentralized clients...
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01/27/2023
Reinforcement Learning from Diverse Human Preferences
The complexity of designing reward functions has been a major obstacle t...
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01/18/2023
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation
Unsupervised domain adaption has been widely adopted in tasks with scarc...
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12/19/2022
Position-guided Text Prompt for Vision-Language Pre-training
Vision-Language Pre-Training (VLP) has shown promising capabilities to a...
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11/09/2022
NoiSER: Noise is All You Need for Enhancing Low-Light Images Without Task-Related Data
This paper is about an extraordinary phenomenon. Suppose we don't use an...
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11/02/2022
SufrinNet: Toward Sufficient Cross-View Interaction for Stereo Image Enhancement in The Dark
Low-light stereo image enhancement (LLSIE) is a relatively new task to e...
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11/01/2022
SDMuse: Stochastic Differential Music Editing and Generation via Hybrid Representation
While deep generative models have empowered music generation, it remains...
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10/20/2022
Towards Sustainable Self-supervised Learning
Although increasingly training-expensive, most self-supervised learning ...
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10/18/2022
RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning
Despite the recent advancement in multi-agent reinforcement learning (MA...
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10/17/2022
Boosting Offline Reinforcement Learning via Data Rebalancing
Offline reinforcement learning (RL) is challenged by the distributional ...
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10/14/2022
Mutual Information Regularized Offline Reinforcement Learning
Offline reinforcement learning (RL) aims at learning an effective policy...
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10/12/2022
Efficient Offline Policy Optimization with a Learned Model
MuZero Unplugged presents a promising approach for offline policy learni...
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10/08/2022
AdaptivePose++: A Powerful Single-Stage Network for Multi-Person Pose Regression
Multi-person pose estimation generally follows top-down and bottom-up pa...
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10/03/2022
LPT: Long-tailed Prompt Tuning for Image Classification
For long-tailed classification, most works often pretrain a big model on...
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10/02/2022
Seeing Through The Noisy Dark: Toward Real-world Low-Light Image Enhancement and Denoising
Images collected in real-world low-light environment usually suffer from...
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09/29/2022
Spikformer: When Spiking Neural Network Meets Transformer
We consider two biologically plausible structures, the Spiking Neural Ne...
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08/13/2022
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
Adaptive gradient algorithms borrow the moving average idea of heavy bal...
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07/12/2022
Video Graph Transformer for Video Question Answering
This paper proposes a Video Graph Transformer (VGT) model for Video Quet...
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06/25/2022
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning
Deep reinforcement learning (RL) algorithms suffer severe performance de...
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06/21/2022
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine
There has been significant progress in developing reinforcement learning...
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06/08/2022
Towards Understanding Why Mask-Reconstruction Pretraining Helps in Downstream Tasks
For unsupervised pretraining, mask-reconstruction pretraining (MRP) appr...
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05/26/2022
O(N^2) Universal Antisymmetry in Fermionic Neural Networks
Fermionic neural network (FermiNet) is a recently proposed wavefunction ...
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04/30/2022
ClusterQ: Semantic Feature Distribution Alignment for Data-Free Quantization
Network quantization has emerged as a promising method for model compres...
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04/03/2022
Improving Vision Transformers by Revisiting High-frequency Components
The transformer models have shown promising effectiveness in dealing wit...
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03/27/2022
Mugs: A Multi-Granular Self-Supervised Learning Framework
In self-supervised learning, multi-granular features are heavily desired...
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03/14/2022
Self-Promoted Supervision for Few-Shot Transformer
The few-shot learning ability of vision transformers (ViTs) is rarely in...
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02/21/2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
The trade-off between robustness and accuracy has been widely studied in...
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02/18/2022
Modern Augmented Reality: Applications, Trends, and Future Directions
Augmented reality (AR) is one of the relatively old, yet trending areas ...
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12/22/2021
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
The fine-tuning of pre-trained language models has a great success in ma...
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12/16/2021
TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning
Zero-shot learning (ZSL) tackles the novel class recognition problem by ...
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12/09/2021
