
IFML Seminar
IFML Seminar: 04/04/25 - Robust Autonomy Emerges from Self-Play
Abstract: Self-play has powered breakthroughs in two-player and multiplayer games. In this talk, I show that self-play is a surprisingly effective strategy in another domain: robust and naturalistic driving emerges entirely from self-play in...
Upcoming Events
- April412:15 - 1:15pm
IFML Seminar
Abstract: Self-play has powered breakthroughs in two-player and multiplayer games. In this talk, I show that self-play is a surprisingly...
- April1112:15 - 1:15pm
IFML Seminar
Abstract: The widespread deployment of AI systems in critical domains demands more rigorous approaches to evaluating their capabilities and safety...
- April1812:15 - 1:15pm
IFML Seminar
Abstract: Ill-posed inverse problems appear in many critical scientific imaging scenarios where the goal is to reconstruct cleaner images faster...
- April2512:15 - 1:15pm
IFML Seminar
Abstract : In the literature on benign overfitting in linear models, also referred to as minimum norm interpolation, it is...
Past Events
- January2711 am - 12 pm
Co-hosted by UT Good Systems, Forum for Artificial Intelligence, and IFML
- January26All day
The University of Texas at Austin is launching a new online master’s program in AI with the potential to bring...
- January2012 - 1 pm
IFML Seminar
Abstract: Sparsity has widely shown its versatility in model compression, robustness improvement, and overfitting mitigation by selectively masking out a...
- November163 - 5 pm
Join us for the 2022 Machine Learning Lab Public Lecture with Alan Bovik!
- November101 - 1:45pm
IFML Seminar
Abstract: This talk will first motivate and illustrate the use of margins as a way to interpret and analyze the...
- November412:15 - 1 pm
IFML Seminar
A central problem in machine learning is as follows: How should we train models using data generated from a collection...