
Yi Ma
CTRL: Closed-Loop Data Transcription via Rate Reduction

Daphna Weinshall
Curriculum Learning in Deep Networks

Eric P. Xing
It Is Time for Deep Learning to Understand Its Expense Bills
Professors and courses(to be completed)

Mohammed Bennamoun
[intermediate/advanced] Deep Learning for 3D Vision

Matias Carrasco Kind
[intermediate] Anomaly Detection

Nitesh Chawla
[introductory/intermediate] Graph Representation Learning

Seungjin Choi
[introductory/intermediate] Bayesian Optimization over Continuous, Discrete, or Hybrid Spaces

Sumit Chopra
[intermediate] Deep Learning in Healthcare

Luc De Raedt
[introductory/intermediate] Statistical Relational and Neurosymbolic AI

Marco Duarte
[introductory/intermediate] Explainable Machine Learning

João Gama
[introductory] Learning from Data Streams: Challenges, Issues, and Opportunities

Claus Horn
[intermediate] Deep Learning for Biotechnology

Zhiting Hu & Eric P. Xing
A “Standard Model” for Machine Learning with All Experiences

Nathalie Japkowicz
[intermediate/advanced] Learning from Class Imbalances

Gregor Kasieczka
[introductory/intermediate] Deep Learning Fundamental Physics: Rare Signals, Unsupervised Anomaly Detection, and Generative Models

Karen Livescu (to be confirmed)
[intermediate/advanced] Speech Processing: Automatic Speech Recognition and beyond

David McAllester
[intermediate/advanced] Information Theory for Deep Learning

Dhabaleswar K. Panda
[intermediate] Exploiting High-performance Computing for Deep Learning: Why and How?

Fabio Roli
[introductory/intermediate] Adversarial Machine Learning

Richa Singh
[introductory/intermediate] Trusted AI

Kunal Talwar
[introductory/intermediate] Foundations of Differentially Private Learning

Tinne Tuytelaars
[introductory/intermediate] Continual Learning in Deep Neural Networks

Lyle Ungar
[intermediate] Natural Language Processing using Deep Learning

Bram van Ginneken
[introductory/intermediate] Deep Learning for Medical Image Analysis

Yu-Dong Zhang
[introductory/intermediate] Convolutional Neural Networks and Their Applications to COVID-19 Diagnosis