Ke Li

I recently graduated with a Ph.D. from UC Berkeley, where I was advised by Jitendra Malik, and am now a Reseach Scientist at Google and a Member of the Institute for Advanced Study (IAS). My research interests are in machine learning, computer vision and algorithms. I received my bachelor's in computer science from the University of Toronto. I can be reached by e-mail at ke [dot] li [at] eecs [dot] berkeley [dot] edu.

Google Scholar  |  Twitter

For a quick introduction to my research, see the following talk videos:

IAS Workshop on Theory of Deep Learning (Video) (Slides): this is aimed at machine learning researchers
CMU ML/Duolingo Seminar (Video) (Slides): this is an extended version of the above and is aimed at machine learning graduate students
CIFAR Deep Learning and Reinforcement Learning Summer School (Video) (Slides): this is aimed at a broader audience in the style of a tutorial

Research Directions

I am interested in tackling fundamental problems that cannot be solved using a straightforward application of conventional techniques. Below are the major areas that I contributed to:

Selected Papers

Generative Modelling

Learning to Optimize

Fast Nearest Neighbour Search

Instance Segmentation

Other Topics


CS 189: Introduction to Machine Learning (Summer 2018) — Instructor


Overcoming Mode Collapse and the Curse of Dimensionality (Extended Version) No More Mode Collapse Implicit Maximum Likelihood Estimation Tutorial on Implicit Generative Models Fast k-Nearest Neighbour Search via Dynamic Continuous Indexing Learning to Optimize Meta-Learning

Professional Service

Journals: Conferences: