Yu Sun

I am a third year PhD student in the Department of EECS at UC Berkeley. I am advised by Alyosha Efros and Moritz Hardt. I work on machine learning.

I was an undergraduate student at Cornell University, where I worked with Kilian Weinberger.

Email: yusun [at] berkeley [dot] edu.

Selected Papers

For a complete list of papers, see my Google Scholar.

* indicates equal contribution in alphabetical order.

Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei A. Efros, Moritz Hardt
ICML 2020
[paper] [project website] [talk]

Unsupervised Domain Adaptation through Self-Supervision
Yu Sun, Eric Tzeng, Trevor Darrell, Alexei A. Efros
[paper] [code]

On Calibration of Modern Neural Networks
Chuan Guo*, Geoff Pleiss*, Yu Sun*, Kilian Q. Weinberger
ICML 2017
[paper] [code]

Deep Networks with Stochastic Depth
Gao Huang*, Yu Sun*, Zhuang Liu, Daniel Sedra, Kilian Q. Weinberger
ECCV 2016
[paper] [code] [talk]