b'Han Zhao'

Self-supervised Representation Learning with Relative Predictive Coding

This paper introduces Relative Predictive Coding (RPC), a new contrastiv...
03/21/2021 ∙ by Yao-Hung Hubert Tsai, et al. ∙ 32 ∙ share

read it
Understanding and Mitigating Accuracy Disparity in Regression

With the widespread deployment of large-scale prediction systems in high...
02/24/2021 ∙ by Jianfeng Chi, et al. ∙ 0 ∙ share

read it
Acoustic Structure Inverse Design and Optimization Using Deep Learning

From ancient to modern times, acoustic structures have been used to cont...
01/29/2021 ∙ by Xuecong Sun, et al. ∙ 16 ∙ share

read it
Fundamental Limits and Tradeoffs in Invariant Representation Learning

Many machine learning applications involve learning representations that...
12/19/2020 ∙ by Han Zhao, et al. ∙ 0 ∙ share

read it
Model-based Policy Optimization with Unsupervised Model Adaptation

Model-based reinforcement learning methods learn a dynamics model with r...
10/19/2020 ∙ by Jian Shen, et al. ∙ 0 ∙ share

read it
Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation

The success of supervised learning hinges on the assumption that the tra...
10/09/2020 ∙ by Bo Li, et al. ∙ 5 ∙ share

read it
Graph Adversarial Networks: Protecting Information against Adversarial Attacks

We study the problem of protecting information when learning with graph ...
09/28/2020 ∙ by Peiyuan Liao, et al. ∙ 20 ∙ share

read it
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation

Large-scale labeled training datasets have enabled deep neural networks ...
09/01/2020 ∙ by Sicheng Zhao, et al. ∙ 7 ∙ share

read it
On Learning Language-Invariant Representations for Universal Machine Translation

The goal of universal machine translation is to learn to translate betwe...
08/11/2020 ∙ by Han Zhao, et al. ∙ 38 ∙ share

read it
Neural Methods for Point-wise Dependency Estimation

Since its inception, the neural estimation of mutual information (MI) ha...
06/09/2020 ∙ by Yao-Hung Hubert Tsai, et al. ∙ 13 ∙ share

read it
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift

Adversarial learning has demonstrated good performance in the unsupervis...
03/10/2020 ∙ by Remi Tachet des Combes, et al. ∙ 18 ∙ share

read it
Continual Learning with Adaptive Weights (CLAW)

Approaches to continual learning aim to successfully learn a set of rela...
11/21/2019 ∙ by Tameem Adel, et al. ∙ 20 ∙ share

read it
Conditional Learning of Fair Representations

We propose a novel algorithm for learning fair representations that can ...
10/16/2019 ∙ by Han Zhao, et al. ∙ 0 ∙ share

read it
Learning Neural Networks with Adaptive Regularization

Feed-forward neural networks can be understood as a combination of an in...
07/14/2019 ∙ by Han Zhao, et al. ∙ 3 ∙ share

read it
Inherent Tradeoffs in Learning Fair Representation

With the prevalence of machine learning in high-stakes applications, esp...
06/19/2019 ∙ by Han Zhao, et al. ∙ 0 ∙ share

read it
Adversarial Task-Specific Privacy Preservation under Attribute Attack

With the prevalence of machine learning services, crowdsourced data cont...
06/19/2019 ∙ by Han Zhao, et al. ∙ 0 ∙ share

read it
On Learning Invariant Representation for Domain Adaptation

Due to the ability of deep neural nets to learn rich representations, re...
01/27/2019 ∙ by Han Zhao, et al. ∙ 0 ∙ share

read it
On Strategyproof Conference Peer Review

We consider peer review in a conference setting where there is typically...
06/16/2018 ∙ by Yichong Xu, et al. ∙ 0 ∙ share

read it
Convolutional-Recurrent Neural Networks for Speech Enhancement

We propose an end-to-end model based on convolutional and recurrent neur...
05/02/2018 ∙ by Han Zhao, et al. ∙ 0 ∙ share

read it
Active Learning of Strict Partial Orders: A Case Study on Concept Prerequisite Relations

Strict partial order is a mathematical structure commonly seen in relati...
01/19/2018 ∙ by Chen Liang, et al. ∙ 0 ∙ share

read it
Frank-Wolfe Optimization for Symmetric-NMF under Simplicial Constraint

We propose a Frank-Wolfe (FW) solver to optimize the symmetric nonnegati...
06/20/2017 ∙ by Han Zhao, et al. ∙ 0 ∙ share

read it
Multiple Source Domain Adaptation with Adversarial Training of Neural Networks

While domain adaptation has been actively researched in recent years, mo...
05/26/2017 ∙ by Han Zhao, et al. ∙ 0 ∙ share

read it
Principled Hybrids of Generative and Discriminative Domain Adaptation

We propose a probabilistic framework for domain adaptation that blends b...
05/25/2017 ∙ by Han Zhao, et al. ∙ 0 ∙ share

read it
Linear Time Computation of Moments in Sum-Product Networks

Bayesian online algorithms for Sum-Product Networks (SPNs) need to updat...
02/15/2017 ∙ by Han Zhao, et al. ∙ 0 ∙ share

read it
Efficient Multi-task Feature and Relationship Learning

In this paper we propose a multi-convex framework for multi-task learnin...
02/14/2017 ∙ by Han Zhao, et al. ∙ 0 ∙ share

read it
A Unified Approach for Learning the Parameters of Sum-Product Networks

We present a unified approach for learning the parameters of Sum-Product...
01/03/2016 ∙ by Han Zhao, et al. ∙ 0 ∙ share

read it
Self-Adaptive Hierarchical Sentence Model

The ability to accurately model a sentence at varying stages (e.g., word...
04/20/2015 ∙ by Han Zhao, et al. ∙ 0 ∙ share

read it
On the Relationship between Sum-Product Networks and Bayesian Networks

In this paper, we establish some theoretical connections between Sum-Pro...
01/06/2015 ∙ by Han Zhao, et al. ∙ 0 ∙ share

read it

Han Zhao

Featured Co-authors