Illinois ECE Distinguished Colloquium Series

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From Differentiable Reasoning to Self-supervised Embodied Active Learning

Event Type
Seminar/Symposium
Sponsor
Alexander Schwing, Ph.D.
Location
https://illinois.zoom.us/j/88097368234?pwd=U0kvKzJnd2UxNHZWMXN5d3hvelN5Zz09 Mtg ID: 880 9736 8234 PW:355608
Virtual
wifi event
Date
Mar 24, 2022   4:00 - 5:00 pm  
Speaker
Ruslan Salakhutdinov - Professor, Computer Science, Carnegie Mellon University
Contact
Alexander Schwing, Ph.D.
E-Mail
aschwing@illinois.edu
Views
212

Abstract:

In this talk, I will first discuss deep learning models that can find semantically meaningful representations of words, learn to read documents and answer questions about their content. I will introduce methods that can augment neural representation of text with structured data from Knowledge Bases (KBs) for question answering, and show how we can answer compositional questions over long structured documents using a text corpus as a virtual KB. In the second part of the talk, I will show how we can design modular hierarchical reinforcement learning agents for visual navigation that can perform tasks specified by natural language instructions, perform efficient exploration and long-term planning, build and utilize 3D semantic maps to learn both action and perception models in self-supervised manner, while generalizing across domains and tasks.

Bio:

Russ Salakhutdinov is a UPMC Professor of Computer Science in the Department of Machine Learning at CMU. He received his PhD in computer science from the University of Toronto. After spending two post-doctoral years at MIT, he joined the University of Toronto and later moved to CMU. Russ's primary interests lie in deep learning, machine learning, and large-scale optimization. He is an action editor of the Journal of Machine Learning Research, served as a program co-chair for ICML2019, served on the senior programme committee of several top-tier learning conferences including NeurIPS and ICML. He is an Alfred P. Sloan Research Fellow, Microsoft Research Faculty Fellow, Canada Research Chair in Statistical Machine Learning, a recipient of the Early Researcher Award, Google Faculty Award, and Nvidia's Pioneers of AI award.

https://www.cs.cmu.edu/~rsalakhu/

 

 

 

 

 

 

 

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