IFML Seminar
IFML Seminar: 03/13/26 - Foundations of Reliable Learning with Imperfect Data
Abstract: A central challenge in machine learning is reliability: ensuring that an algorithm’s predictions remain accurate and stable even when the data is noisy, adversarial, or misspecified. This talk presents recent progress on learning...
Upcoming Events
- March1312:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: A central challenge in machine learning is reliability: ensuring that an algorithm’s predictions remain accurate and stable even when...
Past Events
- March43 - 4 pm
ML+ X Seminar
Event DetailsText simplification aims to help audiences read and understand a piece of text through lexical, syntactic, and discourse modifications, while...
- February113 - 4 pm
ML+ X Seminar
Event DetailsML+X seminar with Joshua Chang, M.D., Ph.D., assistant professor in the Department of Neurology at The University of Texas at...
- December132 - 3 pm
Ethics/Fairness in AI Seminar
Event DetailsChild maltreatment has become a prevalent problem and draws increasing concerns around the world. According to a recent study, approximately...
- November22throughNovember26
Workshop
Event DetailsThe resurgence of deep neural networks has led to revolutionary success across almost all the areas in engineering and science...
- November1912 - 1 pmEvent Details
Abstract: fastMRI is a collaboration project between Facebook AI Research and the NYU School of Medicine with the goal of...
- November123 - 4 pm
ML+ X Seminar
Event DetailsThe recent artificial intelligence (AI) boom has been primarily driven by three confluence forces: algorithms, big-data, and computing power enabled...
