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Events for February 08, 2022
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PhD Thesis Proposal - Yuchen Lin
Tue, Feb 08, 2022 @ 02:00 PM - 03:30 PM
Thomas Lord Department of Computer Science
University Calendar
PhD Candidate: Yuchen Lin
Title: Commonsense Reasoning for Natural Language Processing
Tuesday: Feb 8, 02:00 PM - 03:30 PM
Committee members: chair: Prof. Xiang Ren (CS dept.), Prof. Cyrus Shahabi (CS dept.), Prof. Yan Liu (CS dept.), Prof. Robin Jia (CS dept.), Prof. Toby Mintz (Department of Psychology).
Abstract:
Common sense is all the background knowledge we have about the physical and social world that we have absorbed over our lives. It includes such things as our understanding of physics as well as our expectations about how humans behave. Commonsense knowledge is required before intelligent agents can anticipate how people and the physical world will react before they make decisions. However, it has long been a bottleneck for developing artificial general intelligence to use commonsense reasoning ability for understanding and generating natural language in real-world situations. In this thesis proposal, I present a series of work that enables natural language processing models to reason with commonsense knowledge. Specifically, my Ph.D. work focuses on using external knowledge bases to improve neural language models and developing generative, open-ended reasoning models that can serve real-life applications.
WebCast Link: https://usc.zoom.us/j/9502121213
Audiences: Everyone Is Invited
Contact: Lizsl De Leon
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
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CS Colloquium: Sanjiban Choudhury (Cornell University) - Interactive Imitation Learning: Planning Alongside Humans
Tue, Feb 08, 2022 @ 04:00 PM - 05:20 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Sanjiban Choudhury, Cornell University
Talk Title: Interactive Imitation Learning: Planning Alongside Humans
Series: Computer Science Colloquium
Abstract: Advances in machine learning have fueled progress towards deploying real-world robots from assembly lines to self-driving. However, if robots are to truly work alongside humans in the wild, they need to solve fundamental challenges that go beyond collecting large-scale datasets. Robots must continually improve and learn online to adapt to individual human preferences. How do we design robots that both understand and learn from natural human interactions?
In this talk, I will dive into two core challenges. First, I will discuss learning from natural human interactions where we look at the recurring problem of feedback-driven covariate shift. We will tackle this problem from a unified framework of distribution matching. Second, I will discuss learning to predict human intent where we look at the chicken-or-egg problem of planning with learned forecasts. I will present a graph neural network approach that tractably reasons over latent intents of multiple actors in the scene. Finally, we will demonstrate how these methods come together to result in a self-driving product deployed at scale.
Register in advance for this webinar at:
https://usc.zoom.us/webinar/register/WN_R-AyYtIjSlG4acgjxUOK9w
After registering, attendees will receive a confirmation email containing information about joining the webinar.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Sanjiban Choudhury is a Research Scientist at Aurora Innovation and soon-to-be Assistant Professor at Cornell University. His research goal is to enable robots to work seamlessly alongside human partners in the wild. To this end, his work focuses on imitation learning, decision making and human-robot interaction. He obtained his Ph.D. in Robotics from Carnegie Mellon University and was a Postdoctoral fellow at the University of Washington. His research has received best paper awards at ICAPS 2019, finalist for IJRR 2018, and AHS 2014, and winner of the 2018 Howard Hughes award. He is a Siebel Scholar, class of 2013.
Host: Stefanos Nikolaidis
Webcast: https://usc.zoom.us/webinar/register/WN_R-AyYtIjSlG4acgjxUOK9wLocation: Online - Zoom Webinar
WebCast Link: https://usc.zoom.us/webinar/register/WN_R-AyYtIjSlG4acgjxUOK9w
Audiences: Everyone Is Invited
Contact: Computer Science Department
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
