b'Huan Wang'

research

∙ 08/23/2023

Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy Movies

The dynamics of biomolecules are crucial for our understanding of their ...

0 Enze Ye, et al. ∙

research

∙ 08/16/2023

Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System

End-to-end task-oriented dialogue (TOD) systems have achieved promising ...

0 Jianguo Zhang, et al. ∙

research

∙ 08/11/2023

BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents

The massive successes of large language models (LLMs) encourage the emer...

0 Zhiwei Liu, et al. ∙

research

∙ 08/04/2023

Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization

Recent months have seen the emergence of a powerful new trend in which l...

0 Weiran Yao, et al. ∙

research

∙ 07/19/2023

DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI

Despite advancements in conversational AI, language models encounter cha...

0 Jianguo Zhang, et al. ∙

research

∙ 07/18/2023

REX: Rapid Exploration and eXploitation for AI Agents

In this paper, we propose an enhanced approach for Rapid Exploration and...

0 Rithesh Murthy, et al. ∙

research

∙ 07/06/2023

Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight

This paper studies the sample-efficiency of learning in Partially Observ...

0 Jiacheng Guo, et al. ∙

research

∙ 06/07/2023

Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

Neural sequence models based on the transformer architecture have demons...

6 Yu Bai, et al. ∙

research

∙ 06/01/2023

SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds

Text-to-image diffusion models can create stunning images from natural l...

0 Yanyu Li, et al. ∙

research

∙ 05/18/2023

UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild

Achieving machine autonomy and human control often represent divergent o...

0 Can Qin, et al. ∙

research

∙ 05/12/2023

Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training

Existing recommender systems face difficulties with zero-shot items, i.e...

0 Ziwei Fan, et al. ∙

research

∙ 05/10/2023

ChatGPT-Like Large-Scale Foundation Models for Prognostics and Health Management: A Survey and Roadmaps

Prognostics and health management (PHM) technology plays a critical role...

0 Yan-Fu Li, et al. ∙

research

∙ 03/26/2023

Frame Flexible Network

Existing video recognition algorithms always conduct different training ...

0 Yitian Zhang, et al. ∙

research

∙ 03/18/2023

ABC: Attention with Bilinear Correlation for Infrared Small Target Detection

Infrared small target detection (ISTD) has a wide range of applications ...

0 Peiwen Pan, et al. ∙

research

∙ 03/16/2023

Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution

The field of image super-resolution (SR) has witnessed extensive neural ...

0 Jiamian Wang, et al. ∙

research

∙ 03/16/2023

HIVE: Harnessing Human Feedback for Instructional Visual Editing

Incorporating human feedback has been shown to be crucial to align text ...

1 Shu Zhang, et al. ∙

research

∙ 03/10/2023

On the Unlikelihood of D-Separation

Causal discovery aims to recover a causal graph from data generated by i...

0 Itai Feigenbaum, et al. ∙

research

∙ 03/09/2023

hierarchical network with decoupled knowledge distillation for speech emotion recognition

The goal of Speech Emotion Recognition (SER) is to enable computers to r...

0 Ziping Zhao, et al. ∙

research

∙ 03/02/2023

Image as Set of Points

What is an image and how to extract latent features? Convolutional Netwo...

0 Xu Ma, et al. ∙

research

∙ 02/20/2023

Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems

When learning task-oriented dialogue (ToD) agents, reinforcement learnin...

0 Yihao Feng, et al. ∙

research

∙ 02/15/2023

Improved Online Conformal Prediction via Strongly Adaptive Online Learning

We study the problem of uncertainty quantification via prediction sets, ...

1 Aadyot Bhatnagar, et al. ∙

research

∙ 02/02/2023

Lower Bounds for Learning in Revealing POMDPs

This paper studies the fundamental limits of reinforcement learning (RL)...

9 Fan Chen, et al. ∙

research

∙ 01/28/2023

Local Contrast and Global Contextual Information Make Infrared Small Object Salient Again

Infrared small object detection (ISOS) aims to segment small objects onl...

0 Chenyi Wang, et al. ∙

research

∙ 01/12/2023

Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning

The state of neural network pruning has been noticed to be unclear and e...

0 Huan Wang, et al. ∙

research

∙ 12/23/2022

A Close Look at Spatial Modeling: From Attention to Convolution

Vision Transformers have shown great promise recently for many vision ta...

0 Xu Ma, et al. ∙

research

∙ 12/15/2022

Real-Time Neural Light Field on Mobile Devices

Recent efforts in Neural Rendering Fields (NeRF) have shown impressive r...

0 Junli Cao, et al. ∙

research

∙ 11/18/2022

Look More but Care Less in Video Recognition

Existing action recognition methods typically sample a few frames to rep...

0 Yitian Zhang, et al. ∙

research

∙ 10/13/2022

Parameter-Efficient Masking Networks

A deeper network structure generally handles more complicated non-linear...

0 Yue Bai, et al. ∙

research

∙ 08/07/2022

Generating Negative Samples for Sequential Recommendation

To make Sequential Recommendation (SR) successful, recent works focus on...

2 Yongjun Chen, et al. ∙

research

∙ 07/25/2022

Trainability Preserving Neural Structured Pruning

Several recent works empirically find finetuning learning rate is critic...

0 Huan Wang, et al. ∙

research

∙ 07/15/2022

Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain

Face recognition technology has been used in many fields due to its high...

0 Jiazhen Ji, et al. ∙

research

∙ 06/06/2022

Policy Optimization for Markov Games: Unified Framework and Faster Convergence

This paper studies policy optimization algorithms for multi-agent reinfo...

2 Runyu Zhang, et al. ∙

research

∙ 05/30/2022

STN: Scalable Tensorizing Networks via Structure-Aware Training and Adaptive Compression

Deep neural networks (DNNs) have delivered a remarkable performance in m...

1 Chang Nie, et al. ∙

research

∙ 03/31/2022

R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis

Recent research explosion on Neural Radiance Field (NeRF) shows the enco...

8 Huan Wang, et al. ∙

research

∙ 03/25/2022

A Conversational Paradigm for Program Synthesis

Program synthesis strives to generate a computer program as a solution t...

11 Erik Nijkamp, et al. ∙

research

∙ 03/08/2022

Dual Lottery Ticket Hypothesis

Fully exploiting the learning capacity of neural networks requires overp...

0 Yue Bai, et al. ∙

research

∙ 02/22/2022

Efficient and Differentiable Conformal Prediction with General Function Classes

Quantifying the data uncertainty in learning tasks is often done by lear...

0 Yu Bai, et al. ∙

research

∙ 12/12/2021

Semi-supervised Domain Adaptive Structure Learning

Semi-supervised domain adaptation (SSDA) is quite a challenging problem ...

0 Can Qin, et al. ∙

research

∙ 10/21/2021

Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization

In Domain Generalization (DG) settings, models trained on a given set of...

0 Devansh Arpit, et al. ∙

research

∙ 10/19/2021

Momentum Contrastive Autoencoder: Using Contrastive Learning for Latent Space Distribution Matching in WAE

Wasserstein autoencoder (WAE) shows that matching two distributions is e...

0 Devansh Arpit, et al. ∙

research

∙ 10/19/2021

Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles

Pretraining convolutional neural networks via self-supervision, and appl...

0 Bram Wallace, et al. ∙

research

∙ 10/12/2021

Continuous Conditional Random Field Convolution for Point Cloud Segmentation

Point cloud segmentation is the foundation of 3D environmental perceptio...

0 Fei Yang, et al. ∙

research

∙ 09/20/2021

Merlion: A Machine Learning Library for Time Series

We introduce Merlion, an open-source machine learning library for time s...

78 Aadyot Bhatnagar, et al. ∙

research

∙ 09/09/2021

Multi-Tensor Network Representation for High-Order Tensor Completion

This work studies the problem of high-dimensional data (referred to tens...

14 Chang Nie, et al. ∙

research

∙ 08/31/2021

WarpDrive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU

Deep reinforcement learning (RL) is a powerful framework to train decisi...

0 Tian Lan, et al. ∙

research

∙ 06/22/2021

Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization

Adaptive gradient methods, such as Adam, have achieved tremendous succes...

0 Yizhou Wang, et al. ∙

research

∙ 06/10/2021

Understanding the Under-Coverage Bias in Uncertainty Estimation

Estimating the data uncertainty in regression tasks is often done by lea...

17 Yu Bai, et al. ∙

research

∙ 06/09/2021

Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning

Recent theoretical work studies sample-efficient reinforcement learning ...

10 Tengyang Xie, et al. ∙

research

∙ 06/07/2021

Evaluating State-of-the-Art Classification Models Against Bayes Optimality

Evaluating the inherent difficulty of a given data-driven classification...

0 Ryan Theisen, et al. ∙

research

∙ 05/21/2021

Polyjuice: High-Performance Transactions via Learned Concurrency Control

Concurrency control algorithms are key determinants of the performance o...

0 Jiachen Wang, et al. ∙

Huan Wang

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