People
by Paper Subfield in Program
click links for person’s OpenReview page
Applications
Jiaao Chen
Martin Corredor
Saurabh Dash
Uday Kamal
Saibal Mukhopadhyay
Devi Parikh
Xiangyu Peng
Deep Learning and representational learning
Daniel Bolya
Alexander Bukharin
Louis Castricato
Judy Hoffman
Tiansheng Huang
Xiaoming Huo
Pan Li
Chen Liang
Namjoon Suh
Qingru Zhang
Tuo Zhao
Tian-Yi Zho
General Machine Learning
Shen-En Chen
Xu Chu
Zheng Dong
Faramarz Fekri
James Clayton Kerce
Ali Payani
Renzhi Wu
Yao Xie
Yuan Yang
Generative models
Yongxin Chen
Irfan Essa
Haoran Sun
Molei Tao
Qinsheng Zhang
Machine Learning for Sciences
Spencer Bryngelson
Yash Kothari
Pan Li
Yunan Luo
Siqi Miao
Florian Tobias Schaefer
Qi Zeng
Optimization
Lingkai Kong
Molei Tao
Yuqing Wang
Probabilistic Methods
Mohammadsajad Abavisani
Faramarz Fekri
James Clayton Kerce
Haoran Sun
Siheng Xiong
Yuan Yang
Reinforcement Learning
Dhruv Batra
Hongyi Chen
Yiye Chen
Irfan Essa
Animesh Garg
Zsolt Kira
Himanshu Sahni
Andrew Szot
Patricio Vela
Social Aspects of Machine Learning
Gunjan Chhablani
Pushkar Tripathi
Theory
Jacob Abernethy
Etash Kumar Guha
Guanghui Wang
Tuo Zhao
Unsupervised and Self-supervised learning
Biswadeep Chakraborty
Animesh Garg
Beomseok Kang
Pan Li
Shancong Mou
Saibal Mukhopadhyay
Jianjun Shi