IFML Seminar
IFML Seminar: 11/21/25 - Learning Dynamics in Multiplayer Games
Abstract: Intelligence often emerges through interaction and competition. Likewise, advanced AI algorithms often rely on competing learning objectives. Whether through data sampling, environmental interaction, or self-play, agents iteratively adapt their strategies in pursuit of...
Upcoming Events
- November2112:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Intelligence often emerges through interaction and competition. Likewise, advanced AI algorithms often rely on competing learning objectives.…
Past Events
- March312:15 - 1 pm
IFML Seminar
Event DetailsAbstract: Customer statistics collected in several real-world systems have reflected that users often prefer eliciting their liking for a given...
- February1012:15 - 1 pm
IFML Seminar
Event DetailsAbstract: The activation function deployed in a deep neural network has great influence on the performance of the network at...
- February312:15 - 1 pm
IFML Seminar
Event DetailsAbstract: Graph neural networks (GNNs) are successful at learning representations from most types of network data but suffer from limitations...
- January2711 am - 12 pmEvent Details
Co-hosted by UT Good Systems, Forum for Artificial Intelligence, and IFML
- January26All dayEvent Details
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
Event DetailsAbstract: Sparsity has widely shown its versatility in model compression, robustness improvement, and overfitting mitigation by selectively masking out a...
