IFML Seminar
IFML Seminar: 10/17/25 - Sample-Efficient Personalized Reward Models for Pluralistic Alignment
Abstract: Large pre-trained models trained on internet-scale data are often not ready for deployment out-of-the-box. They are heavily fine-tuned and aligned using large quantities of human preference data, usually elicited using pairwise comparisons. While...
Upcoming Events
- October1712:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Large pre-trained models trained on internet-scale data are often not ready for deployment out-of-the-box. They are heavily fine-tuned and...
- October2412:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Learning from sequential, temporally-correlated data is a core facet of modern machine learning and statistical modeling. Yet our fundamental...
- November712:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Retraining a model using its own predictions together with the original, potentially noisy labels is a well-known strategy for...
Past Events
- March2412:15 - 1 pm
IFML Seminar
Event DetailsAbstract: A brain-machine interface (BMII) is a system that enables users to interact with computers and robots through the voluntary...
- 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...
