Events

Mar20Mon

CS Colloquium: Rika Antonova (Stanford University) - Enabling Self-sufficient Robot Learning

Mon, Mar 20, 2023
11:00 AM - 12:00 PM
Location: RTH 115
Speaker: Rika Antonova, Stanford University Talk Title: Enabling Self-sufficient Robot Learning Series: CS Colloquium Abstract: Autonomous exploration and data-efficient learning are important ingredients for helping machine learning...

Mar20Mon

PHD Thesis Defense - Dimitris Stripelis

Mon, Mar 20, 2023
11:00 AM - 12:00 PM
Location: https://usc.zoom.us/j/93599773555?pwd=TmI3M1JvTkxEV05DSmQ3dzYyVElmQT09
PHD Thesis Defense - Dimitris Stripelis Title: Heterogeneous Federated Learning Committee Members: Jose-Luis Ambite (Chair), Cyrus Shahabi, Paul Thompson, Greg Ver Steeg Abstract: Data relevant to machine learning problems...

Mar21Tue

CS Colloquium: Yue Zhao (CMU) - Scalable and Automated Systems and Algorithms for Unsupervised ML

Tue, Mar 21, 2023
11:00 AM - 12:00 PM
Location: OHE 132
Speaker: Yue Zhao, Carnegie Mellon University Talk Title: Scalable and Automated Systems and Algorithms for Unsupervised ML Series: CS Colloquium Abstract: Many real-world events do not have outcome labels. For example, the fraudulence...

Mar22Wed

CS Colloquium: Lindsay Sanneman (MIT) - Transparent Value Alignment: Foundations for Human-Centered Explainable AI in Alignment

Wed, Mar 22, 2023
11:00 AM - 12:00 PM
Location: RTH 109
Speaker: Lindsay Sanneman , MIT Talk Title: Transparent Value Alignment: Foundations for Human-Centered Explainable AI in Alignment Series: CS Colloquium Abstract: Alignment of robot objectives with those of humans can greatly enhance...

Mar22Wed

Computer Science General Faculty Meeting

Wed, Mar 22, 2023
12:00 PM - 2:00 PM
Location: RTH 526- Hybrid
Bi-Weekly regular faculty meeting for invited full-time Computer Science faculty only. Event details emailed directly to attendees.

Mar23Thu

PhD Thesis Proposal - Gautam Salhotra

Thu, Mar 23, 2023
9:00 AM - 11:00 AM
Location: RTH 406
Title: Accelerating Robot Reinforcement Learning Using Demonstrations Committee: Gaurav Sukhatme, SK Gupta, Laurent Itti, Stefanos Nikolaidis, Somil Bansal Date: Thursday March 23, 9am PST Abstract: Reinforcement learning is a...

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News

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Teaching Robots to Perform Tasks Like Humans

Teaching Robots to Perform Tasks Like Humans

USC computer science study addresses key challenge of teaching machines to perform tasks in realistic environments

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Computer Science PhD student Named Apple Scholar

Computer Science PhD student Named Apple Scholar

Xisen Jin selected for his work in speech and natural language processing

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Computer Science Alumna Lina Kogan Blends Art with Technology in New Exhibit

Computer Science Alumna Lina Kogan Blends Art with Technology in New Exhibit

Ukrainian-born computer scientist and artist Lina Kogan ’00 has a unique spin on the “modern” in modern art

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The Early ISI Years: A Firsthand Account from the Hardware Team

The Early ISI Years: A Firsthand Account from the Hardware Team

The Information Sciences Institute, which celebrated its 50th anniversary in 2022, was a tech innovator from the beginning. Bob Parker was there, and recounts the early days.

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Published on February 23rd, 2017

Last updated on March 9th, 2023