b'Shuicheng Yan'

research

∙ 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...

0 Qiaosong Qi, et al. ∙

research

∙ 08/03/2023

SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning

Textual graphs (TGs) are graphs whose nodes correspond to text (sentence...

0 Keyu Duan, et al. ∙

research

∙ 06/08/2023

Offline Prioritized Experience Replay

Offline reinforcement learning (RL) is challenged by the distributional ...

7 Yang Yue, et al. ∙

research

∙ 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...

0 Wenwen Yu, et al. ∙

research

∙ 06/03/2023

Efficient Multi-Grained Knowledge Reuse for Class Incremental Segmentation

Class Incremental Semantic Segmentation (CISS) has been a trend recently...

0 Zhihe Lu, et al. ∙

research

∙ 06/01/2023

Improving and Benchmarking Offline Reinforcement Learning Algorithms

Recently, Offline Reinforcement Learning (RL) has achieved remarkable pr...

0 Bingyi Kang, et al. ∙

research

∙ 05/31/2023

Efficient Diffusion Policies for Offline Reinforcement Learning

Offline reinforcement learning (RL) aims to learn optimal policies from ...

0 Bingyi Kang, et al. ∙

research

∙ 05/16/2023

Generative Table Pre-training Empowers Models for Tabular Prediction

Recently, the topic of table pre-training has attracted considerable res...

0 Tianping Zhang, et al. ∙

research

∙ 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...

0 Chao Du, et al. ∙

research

∙ 04/22/2023

A Review of Deep Learning for Video Captioning

Video captioning (VC) is a fast-moving, cross-disciplinary area of resea...

0 Moloud Abdar, et al. ∙

research

∙ 04/13/2023

CoSDA: Continual Source-Free Domain Adaptation

Without access to the source data, source-free domain adaptation (SFDA) ...

0 Haozhe Feng, et al. ∙

research

∙ 03/25/2023

Masked Diffusion Transformer is a Strong Image Synthesizer

Despite its success in image synthesis, we observe that diffusion probab...

0 Shanghua Gao, et al. ∙

research

∙ 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...

0 Tianbo Li, et al. ∙

research

∙ 02/27/2023

Contrastive Video Question Answering via Video Graph Transformer

We propose to perform video question answering (VideoQA) in a Contrastiv...

0 Junbin Xiao, et al. ∙

research

∙ 02/21/2023

On Calibrating Diffusion Probabilistic Models

Recently, diffusion probabilistic models (DPMs) have achieved promising ...

0 Tianyu Pang, et al. ∙

research

∙ 02/09/2023

Better Diffusion Models Further Improve Adversarial Training

It has been recognized that the data generated by the denoising diffusio...

0 Zekai Wang, et al. ∙

research

∙ 02/09/2023

Bag of Tricks for Training Data Extraction from Language Models

With the advance of language models, privacy protection is receiving mor...

0 Weichen Yu, et al. ∙

research

∙ 02/03/2023

Learning to Optimize for Reinforcement Learning

In recent years, by leveraging more data, computation, and diverse tasks...

0 Qingfeng Lan, et al. ∙

research

∙ 02/02/2023

Visual Imitation Learning with Patch Rewards

Visual imitation learning enables reinforcement learning agents to learn...

0 Minghuan Liu, et al. ∙

research

∙ 01/28/2023

Does Federated Learning Really Need Backpropagation?

Federated learning (FL) is a general principle for decentralized clients...

0 Haozhe Feng, et al. ∙

research

∙ 01/27/2023

Reinforcement Learning from Diverse Human Preferences

The complexity of designing reward functions has been a major obstacle t...

0 Wanqi Xue, et al. ∙

research

∙ 01/18/2023

MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation

Unsupervised domain adaption has been widely adopted in tasks with scarc...

0 Munan Ning, et al. ∙

research

∙ 12/19/2022

Position-guided Text Prompt for Vision-Language Pre-training

Vision-Language Pre-Training (VLP) has shown promising capabilities to a...

0 Alex Jinpeng Wang, et al. ∙

research

∙ 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...

0 Zhao Zhang, et al. ∙

research

∙ 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...

0 Huan Zheng, et al. ∙

research

∙ 11/01/2022

SDMuse: Stochastic Differential Music Editing and Generation via Hybrid Representation

While deep generative models have empowered music generation, it remains...

0 Chen Zhang, et al. ∙

research

∙ 10/20/2022

Towards Sustainable Self-supervised Learning

Although increasingly training-expensive, most self-supervised learning ...

0 Shanghua Gao, et al. ∙

research

∙ 10/18/2022

RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning

Despite the recent advancement in multi-agent reinforcement learning (MA...

5 Wei Qiu, et al. ∙

research

∙ 10/17/2022

Boosting Offline Reinforcement Learning via Data Rebalancing

Offline reinforcement learning (RL) is challenged by the distributional ...

5 Yang Yue, et al. ∙

research

∙ 10/14/2022

Mutual Information Regularized Offline Reinforcement Learning

Offline reinforcement learning (RL) aims at learning an effective policy...

6 Xiao Ma, et al. ∙

research

∙ 10/12/2022

Efficient Offline Policy Optimization with a Learned Model

MuZero Unplugged presents a promising approach for offline policy learni...

0 Zichen Liu, et al. ∙

research

∙ 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...

19 Yabo Xiao, et al. ∙

research

∙ 10/03/2022

LPT: Long-tailed Prompt Tuning for Image Classification

For long-tailed classification, most works often pretrain a big model on...

5 Bowen Dong, et al. ∙

research

∙ 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...

10 Jiahuan Ren, et al. ∙

research

∙ 09/29/2022

Spikformer: When Spiking Neural Network Meets Transformer

We consider two biologically plausible structures, the Spiking Neural Ne...

0 Zhaokun Zhou, et al. ∙

research

∙ 08/13/2022

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

Adaptive gradient algorithms borrow the moving average idea of heavy bal...

0 Xingyu Xie, et al. ∙

research

∙ 07/12/2022

Video Graph Transformer for Video Question Answering

This paper proposes a Video Graph Transformer (VGT) model for Video Quet...

0 Junbin Xiao, et al. ∙

research

∙ 06/25/2022

Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning

Deep reinforcement learning (RL) algorithms suffer severe performance de...

6 Yang Yue, et al. ∙

research

∙ 06/21/2022

EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine

There has been significant progress in developing reinforcement learning...

8 Jiayi Weng, et al. ∙

research

∙ 06/08/2022

Towards Understanding Why Mask-Reconstruction Pretraining Helps in Downstream Tasks

For unsupervised pretraining, mask-reconstruction pretraining (MRP) appr...

0 Jiachun Pan, et al. ∙

research

∙ 05/26/2022

O(N^2) Universal Antisymmetry in Fermionic Neural Networks

Fermionic neural network (FermiNet) is a recently proposed wavefunction ...

0 Tianyu Pang, et al. ∙

research

∙ 04/30/2022

ClusterQ: Semantic Feature Distribution Alignment for Data-Free Quantization

Network quantization has emerged as a promising method for model compres...

7 Yangcheng Gao, et al. ∙

research

∙ 04/03/2022

Improving Vision Transformers by Revisiting High-frequency Components

The transformer models have shown promising effectiveness in dealing wit...

0 Jiawang Bai, et al. ∙

research

∙ 03/27/2022

Mugs: A Multi-Granular Self-Supervised Learning Framework

In self-supervised learning, multi-granular features are heavily desired...

1 Pan Zhou, et al. ∙

research

∙ 03/14/2022

Self-Promoted Supervision for Few-Shot Transformer

The few-shot learning ability of vision transformers (ViTs) is rarely in...

5 Bowen Dong, et al. ∙

research

∙ 02/21/2022

Robustness and Accuracy Could Be Reconcilable by (Proper) Definition

The trade-off between robustness and accuracy has been widely studied in...

0 Tianyu Pang, et al. ∙

research

∙ 02/18/2022

Modern Augmented Reality: Applications, Trends, and Future Directions

Augmented reality (AR) is one of the relatively old, yet trending areas ...

104 Shervin Minaee, et al. ∙

research

∙ 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...

0 Xinhsuai Dong, et al. ∙

research

∙ 12/16/2021

TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning

Zero-shot learning (ZSL) tackles the novel class recognition problem by ...

4 Shiming Chen, et al. ∙

research

∙ 12/09/2021

DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition

While transformers have shown great potential on video recognition tasks...

0 Yuxuan Liang, et al. ∙

Shuicheng Yan

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