b'Bo Dai'

research

∙ 06/29/2022

Discrete Langevin Sampler via Wasserstein Gradient Flow

Recently, a family of locally balanced (LB) samplers has demonstrated ex...

Haoran Sun, et al. ∙

research

∙ 05/30/2022

Guided Diffusion Model for Adversarial Purification

With wider application of deep neural networks (DNNs) in various algorit...

Jinyi Wang, et al. ∙

research

∙ 05/25/2022

Towards Diverse and Natural Scene-aware 3D Human Motion Synthesis

The ability to synthesize long-term human motion sequences in real-world...

Jingbo Wang, et al. ∙

research

∙ 05/25/2022

Accelerating Diffusion Models via Early Stop of the Diffusion Process

Denoising Diffusion Probabilistic Models (DDPMs) have achieved impressiv...

Zhaoyang Lyu, et al. ∙

research

∙ 03/31/2022

TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing

Recent advances like StyleGAN have promoted the growth of controllable f...

Yanbo Xu, et al. ∙

research

∙ 03/24/2022

Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation

Generating speech-consistent body and gesture movements is a long-standi...

Xian Liu, et al. ∙

research

∙ 03/16/2022

DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation

This paper proposes a simple baseline framework for video-based 2D/3D hu...

Ailing Zeng, et al. ∙

research

∙ 02/10/2022

SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition

Though many reinforcement learning (RL) problems involve learning polici...

Dylan Slack, et al. ∙

research

∙ 02/02/2022

On the Effect of Log-Barrier Regularization in Decentralized Softmax Gradient Play in Multiagent Systems

Softmax policy gradient is a popular algorithm for policy optimization i...

Runyu Zhang, et al. ∙

research

∙ 12/23/2021

Model Selection in Batch Policy Optimization

We study the problem of model selection in batch policy optimization: gi...

Jonathan N. Lee, et al. ∙

research

∙ 12/17/2021

Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition

Semi-supervised action recognition is a challenging but important task d...

Yinghao Xu, et al. ∙

research

∙ 12/10/2021

CityNeRF: Building NeRF at City Scale

Neural Radiance Field (NeRF) has achieved outstanding performance in mod...

Yuanbo Xiangli, et al. ∙

research

∙ 12/02/2021

DenseCLIP: Extract Free Dense Labels from CLIP

Contrastive Language-Image Pre-training (CLIP) has made a remarkable bre...

Chong Zhou, et al. ∙

research

∙ 12/01/2021

Neural Stochastic Dual Dynamic Programming

Stochastic dual dynamic programming (SDDP) is a state-of-the-art method ...

Hanjun Dai, et al. ∙

research

∙ 11/22/2021

A Free Lunch from the Noise: Provable and Practical Exploration for Representation Learning

Representation learning lies at the heart of the empirical success of de...

Tongzheng Ren, et al. ∙

research

∙ 11/12/2021

Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data

Generative adversarial networks (GANs) typically require ample data for ...

Liming Jiang, et al. ∙

research

∙ 11/01/2021

Generative Occupancy Fields for 3D Surface-Aware Image Synthesis

The advent of generative radiance fields has significantly promoted the ...

Xudong Xu, et al. ∙

research

∙ 10/29/2021

A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis

The advancement of generative radiance fields has pushed the boundary of...

Xingang Pan, et al. ∙

research

∙ 10/29/2021

Understanding the Effect of Stochasticity in Policy Optimization

We study the effect of stochasticity in on-policy policy optimization, a...

Jincheng Mei, et al. ∙

research

∙ 10/28/2021

SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs

Knowledge graphs (KGs) capture knowledge in the form of head–relation–ta...

Hongyu Ren, et al. ∙

research

∙ 07/12/2021

Combiner: Full Attention Transformer with Sparse Computation Cost

Transformers provide a class of expressive architectures that are extrem...

Hongyu Ren, et al. ∙

research

∙ 07/09/2021

Safe Exploration by Solving Early Terminated MDP

Safe exploration is crucial for the real-world application of reinforcem...

Hao Sun, et al. ∙

research

∙ 06/18/2021

On the Sample Complexity of Batch Reinforcement Learning with Policy-Induced Data

We study the fundamental question of the sample complexity of learning a...

Chenjun Xiao, et al. ∙

research

∙ 05/31/2021

Scene-aware Generative Network for Human Motion Synthesis

We revisit human motion synthesis, a task useful in various real world a...

Jingbo Wang, et al. ∙

research

∙ 05/13/2021

Leveraging Non-uniformity in First-order Non-convex Optimization

Classical global convergence results for first-order methods rely on uni...

Jincheng Mei, et al. ∙

research

∙ 04/27/2021

Unsupervised 3D Shape Completion through GAN Inversion

Most 3D shape completion approaches rely heavily on partial-complete sha...

Junzhe Zhang, et al. ∙

research

∙ 04/13/2021

Visually Informed Binaural Audio Generation without Binaural Audios

Stereophonic audio, especially binaural audio, plays an essential role i...

Xudong Xu, et al. ∙

research

∙ 04/06/2021

On the Optimality of Batch Policy Optimization Algorithms

Batch policy optimization considers leveraging existing data for policy ...

Chenjun Xiao, et al. ∙

research

∙ 03/25/2021

Nearly Horizon-Free Offline Reinforcement Learning

We revisit offline reinforcement learning on episodic time-homogeneous t...

Tongzheng Ren, et al. ∙

research

∙ 02/25/2021

Off-Policy Imitation Learning from Observations

Learning from Observations (LfO) is a practical reinforcement learning s...

Zhuangdi Zhu, et al. ∙

research

∙ 02/20/2021

Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach

Reliable automatic evaluation of dialogue systems under an interactive e...

Haoming Jiang, et al. ∙

research

∙ 12/23/2020

Focal Frequency Loss for Generative Models

Despite the remarkable success of generative models in creating photorea...

Liming Jiang, et al. ∙

research

∙ 12/12/2020

Offline Policy Selection under Uncertainty

The presence of uncertainty in policy evaluation significantly complicat...

Mengjiao Yang, et al. ∙

research

∙ 11/10/2020

Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration

Discrete structures play an important role in applications like program ...

Hanjun Dai, et al. ∙

research

∙ 11/02/2020

Do 2D GANs Know 3D Shape? Unsupervised 3D shape reconstruction from 2D Image GANs

Natural images are projections of 3D objects on a 2D image plane. While ...

Xingang Pan, et al. ∙

research

∙ 10/29/2020

Named Entity Recognition for Social Media Texts with Semantic Augmentation

Existing approaches for named entity recognition suffer from data sparsi...

Yuyang Nie, et al. ∙

research

∙ 10/22/2020

CoinDICE: Off-Policy Confidence Interval Estimation

We study high-confidence behavior-agnostic off-policy evaluation in rein...

Bo Dai, et al. ∙

research

∙ 07/07/2020

Off-Policy Evaluation via the Regularized Lagrangian

The recently proposed distribution correction estimation (DICE) family o...

Mengjiao Yang, et al. ∙

research

∙ 07/02/2020

Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach

Structural equation models (SEMs) are widely used in sciences, ranging f...

Luofeng Liao, et al. ∙

research

∙ 06/29/2020

Unsupervised Landmark Learning from Unpaired Data

Recent attempts for unsupervised landmark learning leverage synthesized ...

Yinghao Xu, et al. ∙

research

∙ 06/28/2020

Scalable Deep Generative Modeling for Sparse Graphs

Learning graph generative models is a challenging task for deep learning...

Hanjun Dai, et al. ∙

research

∙ 06/28/2020

Video Representation Learning with Visual Tempo Consistency

Visual tempo, which describes how fast an action goes, has shown its pot...

Ceyuan Yang, et al. ∙

research

∙ 05/21/2020

Novel Policy Seeking with Constrained Optimization

In this work, we address the problem of learning to seek novel policies ...

Hao Sun, et al. ∙

research

∙ 04/27/2020

Evolutionary Stochastic Policy Distillation

Solving the Goal-Conditioned Reward Sparse (GCRS) task is a challenging ...

Hao Sun, et al. ∙

research

∙ 04/07/2020

Temporal Pyramid Network for Action Recognition

Visual tempo characterizes the dynamics and the temporal scale of an act...

Ceyuan Yang, et al. ∙

research

∙ 04/06/2020

Self-Supervised Scene De-occlusion

Natural scene understanding is a challenging task, particularly when enc...

Xiaohang Zhan, et al. ∙

research

∙ 04/01/2020

Learning Sparse Rewarded Tasks from Sub-Optimal Demonstrations

Model-free deep reinforcement learning (RL) has demonstrated its superio...

Zhuangdi Zhu, et al. ∙

research

∙ 03/30/2020

Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation

Learning a good image prior is a long-term goal for image restoration an...

Xingang Pan, et al. ∙

research

∙ 03/17/2020

Energy-Based Processes for Exchangeable Data

Recently there has been growing interest in modeling sets with exchangea...

Mengjiao Yang, et al. ∙

research

∙ 03/02/2020

Batch Stationary Distribution Estimation

We consider the problem of approximating the stationary distribution of ...

Junfeng Wen, et al. ∙

Bo Dai

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