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.
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]
[talk]
[project website]
Unsupervised Domain Adaptation through Self-Supervision
Yu Sun, Eric Tzeng, Trevor Darrell, Alexei A. Efros
Unpublished
[paper]
[code]
On Calibration of Modern Neural Networks
Chuan Guo*, Geoff Pleiss*, Yu Sun*, Kilian Weinberger
ICML 2017
[paper]
[code]
Deep Networks with Stochastic Depth
Gao Huang*, Yu Sun*, Zhuang Liu, Daniel Sedra, Kilian Weinberger
ECCV 2016
[paper]
[code]
[talk]