IFML Seminar
IFML Seminar: 05/02/25 - A New Paradigm for Learning with Distribution Shift
Abstract: We revisit the fundamental problem of learning with distribution shift, where a learner is given labeled samples from training distribution D, unlabeled samples from test distribution D′ and is asked to output a...
Upcoming Events
- May212:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: We revisit the fundamental problem of learning with distribution shift, where a learner is given labeled samples from training...
Past Events
- 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...
- November163 - 5 pmEvent Details
Join us for the 2022 Machine Learning Lab Public Lecture with Alan Bovik!
- November101 - 1:45pm
IFML Seminar
Event DetailsAbstract: 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
Event DetailsA central problem in machine learning is as follows: How should we train models using data generated from a collection...
- October2812:15 - 1 pm
IFML Seminar
Event DetailsAbstract: Although Machine learning (ML) algorithms have recently made a huge impact on medical imaging, their development and deployment for...
- October2112:15 - 1 pm
IFML Seminar
Event DetailsRepresentation learning has been widely used in many applications. In this talk, I will present our work which uncovers when...
