activity
20152021
most citedBridging Theory and Algorithm for Domain Adaptation

230 citations · 350 across the 8 of their papers we have counts for

collaborators

8 papers

cs.HC202184 cited

Revisiting Dimensionality Reduction Techniques for Visual Cluster Analysis: An Empirical Study

Jiazhi Xia, Yuchen Zhang, Jie Song +3

Dimensionality Reduction (DR) techniques can generate 2D projections and enable visual exploration of cluster structures of high-dimensional datasets. However, different DR techniq…

cs.CV2021

Adversarial example generation with AdaBelief Optimizer and Crop Invariance

Bo Yang, Hengwei Zhang, Yuchen Zhang +2

Deep neural networks are vulnerable to adversarial examples, which are crafted by applying small, human-imperceptible perturbations on the original images, so as to mislead deep ne…

cs.LG20204 cited

On Localized Discrepancy for Domain Adaptation

Yuchen Zhang, Mingsheng Long, Jianmin Wang +1

We propose the discrepancy-based generalization theories for unsupervised domain adaptation. Previous theories introduced distribution discrepancies defined as the supremum over co…

cs.LG2019230 cited

Bridging Theory and Algorithm for Domain Adaptation

Yuchen Zhang, Tianle Liu, Mingsheng Long +1

This paper addresses the problem of unsupervised domain adaption from theoretical and algorithmic perspectives. Existing domain adaptation theories naturally imply minimax optimiza…

cs.LG201918 cited

Defending against Whitebox Adversarial Attacks via Randomized Discretization

Yuchen Zhang, Percy Liang

Adversarial perturbations dramatically decrease the accuracy of state-of-the-art image classifiers. In this paper, we propose and analyze a simple and computationally efficient def…

cs.CL20175 cited

Macro Grammars and Holistic Triggering for Efficient Semantic Parsing

Yuchen Zhang, Panupong Pasupat, Percy Liang

To learn a semantic parser from denotations, a learning algorithm must search over a combinatorially large space of logical forms for ones consistent with the annotated denotations…