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Events for October 02, 2023

  • Repeating EventCommunications Hub: Writing and Speaking for PhD Students - Drop In Hours

    Mon, Oct 02, 2023 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions

    Viterbi Ph.D. Students!
    Need help with academic and professional writing and speaking tasks? Viterbi faculty at the Hub provide one-on-one help with journal and conference articles, dissertations, fellowship applications, and career communications!
    Drop by RTH 222A on MWF 10am-1pm or make an online appointment via email at eishub@usc.edu.

    Location: Ronald Tutor Hall of Engineering (RTH) - 222A

    Audiences: Graduate

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    Contact: Helen Choi

    Event Link: https://sites.google.com/usc.edu/eishub/home

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  • PhD Thesis Proposal - Jun Yan

    Mon, Oct 02, 2023 @ 10:15 AM - 11:45 PM

    Thomas Lord Department of Computer Science

    University Calendar

    PhD Thesis Proposal - Jun Yan

    Committee Members: Xiang Ren (Chair), Emilio Ferrara, Morteza Dehghani, Robin Jia

    Title: Identifying and Mitigating Safety Risks in Language Models

    Abstract: In recent years, the rapid advancements in language models have transformed the field of Natural Language Processing, reshaping human technology interactions. As these models become increasingly integrated in various aspects of our daily lives, concerns about their safety risks have also escalated. This thesis proposal outlines my efforts to identify and mitigate safety risks in language models that could lead to system malfunctions and undermine user trust. My research focuses on answering the following key questions 1.How can we expose a models vulnerability by pinpointing robustness challenges? 2.What system failures and harms can adversaries induce through training data poisoning? 3. What strategies can be employed to mitigate risks leading to model malfunction? In conclusion, I will discuss future directions for the development of safer language models

    Audiences: Everyone Is Invited

    Contact: Melissa Ochoa

    Event Link: https://usc.zoom.us/j/6633659669

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  • ECE Seminar: Efficient Preference Learning for Interactive Robots

    ECE Seminar: Efficient Preference Learning for Interactive Robots

    Mon, Oct 02, 2023 @ 11:00 AM - 12:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars

    Speaker: Dr. Erdem Biyik, Assistant Professor, USC Thomas Lord Department of Computer Science

    Talk Title: Efficient Preference Learning for Interactive Robots

    Abstract: In the realm of human-robot interaction and multi-agent systems, decentralized agents often collaborate to achieve a common task. The crux of effective collaboration lies in the ability to predict and anticipate the actions of other agents. While we, humans, excel at this due to our innate capacity to understand intentions, robots currently lag behind. This talk delves into the integration of reward learning and partner modeling as a way to address this challenge. I will present active learning techniques tailored to this challenge and discuss the pivotal role of preference data for learning rewards in the settings where demonstration data may fail. Finally, I am going to show some preliminary results and examples of how partner-modeling enables decentralized agents to cooperate efficiently.

    Biography: Erdem Biyik is an assistant professor in Thomas Lord Department of Computer Science at the University of Southern California. He leads the Learning and Interactive Robot Autonomy Lab (Lira Lab). Prior to joining USC, he was a postdoctoral researcher at UC Berkeley's Center for Human-Compatible Artificial Intelligence. He received his Ph.D. and M.Sc. degrees in Electrical Engineering from Stanford University, working at the Stanford Artificial Intelligence Lab (SAIL), and his B.Sc. degree in Electrical and Electronics Engineering from Bilkent University in Ankara, Türkiye. During his studies, he worked at the research departments of Google and Aselsan. Erdem was an HRI 2022 Pioneer and received an honorable mention award for his work at HRI 2020. His works were published at premier robotics and artificial intelligence journals and conferences, such as IJRR, CoRL, RSS, NeurIPS.

    Host: Dr. Somil Bansal, somilban@usc.edu

    Webcast: https://usc.zoom.us/j/96823158282?pwd=MUFrWS94bDBqZ3F2MFZsVlRQZVV0Zz09

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

    WebCast Link: https://usc.zoom.us/j/96823158282?pwd=MUFrWS94bDBqZ3F2MFZsVlRQZVV0Zz09

    Audiences: Everyone Is Invited

    Contact: Mayumi Thrasher

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