Zhi Xu | DeepAI

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Featured Co-authors

Wei Zhang
393 publications
Stefanie Jegelka
67 publications
Devavrat Shah
64 publications
Han Li
49 publications
Laurent Itti
39 publications
Ziyan Wu
37 publications
Terrence Chen
35 publications
Yao Xiao
30 publications
Srikrishna Karanam
29 publications
Qiaomin Xie
22 publications
Anish Agarwal
20 publications

∙ 07/19/2022

Contributions of Shape, Texture, and Color in Visual Recognition

We investigate the contributions of three important features of the huma...

60 Yunhao Ge, et al. ∙

∙ 07/09/2022

Accurate estimation of dynamical quantities for nonequilibrium nanoscale system

Fluctuations of dynamical quantities are fundamental and inevitable. For...

0 Zhi Xu, et al. ∙

∙ 07/07/2022

Polytopic Planar Region Characterization of Rough Terrains for Legged Locomotion

This paper studies the problem of constructing polytopic representations...

0 Zhi Xu, et al. ∙

∙ 12/06/2021

Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization

We focus on controllable disentangled representation learning (C-Dis-RL)...

4 Yunhao Ge, et al. ∙

∙ 05/01/2021

A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts

Despite substantial progress in applying neural networks (NN) to a wide ...

15 Yunhao Ge, et al. ∙

∙ 02/13/2021

PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators

We consider offline reinforcement learning (RL) with heterogeneous agent...

12 Anish Agarwal, et al. ∙

∙ 06/13/2020

Rethinking the Value of Labels for Improving Class-Imbalanced Learning

Real-world data often exhibits long-tailed distributions with heavy clas...

0 Yuzhe Yang, et al. ∙

∙ 06/11/2020

Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation

We consider the question of learning Q-function in a sample efficient ma...

10 Devavrat Shah, et al. ∙

∙ 06/08/2020

Stable Reinforcement Learning with Unbounded State Space

We consider the problem of reinforcement learning (RL) with unbounded st...

6 Devavrat Shah, et al. ∙

∙ 02/25/2020

On Reinforcement Learning for Turn-based Zero-sum Markov Games

We consider the problem of finding Nash equilibrium for two-player turn-...

8 Devavrat Shah, et al. ∙

∙ 09/26/2019

Harnessing Structures for Value-Based Planning and Reinforcement Learning

Value-based methods constitute a fundamental methodology in planning and...

0 Yuzhe Yang, et al. ∙

∙ 05/28/2019

ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation

Deep neural networks are vulnerable to adversarial attacks. The literatu...

0 Yuzhe Yang, et al. ∙

∙ 02/14/2019

On Reinforcement Learning Using Monte Carlo Tree Search with Supervised Learning: Non-Asymptotic Analysis

Inspired by the success of AlphaGo Zero (AGZ) which utilizes Monte Carlo...

0 Devavrat Shah, et al. ∙

∙ 12/19/2018

Machine Learning in Cyber-Security - Problems, Challenges and Data Sets

We present cyber-security problems of high importance. We show that in o...

0 Idan Amit, et al. ∙

∙ 05/06/2018

Private Sequential Learning

We formulate a private learning model to study an intrinsic tradeoff bet...

0 John N. Tsitsiklis, et al. ∙

∙ 02/27/2018

Robust GANs against Dishonest Adversaries

Robustness of deep learning models is a property that has recently gaine...

0 Zhi Xu, et al. ∙

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