IFML Seminar
IFML Seminar: 12/06/24 - Unscripted Grounded Visual Learning
Abstract: Computer vision has made remarkable advances through data-driven learning of image-text associations. Large-scale vision and language models like CLIP, SAM, and ChatGPT can generate compelling descriptions of images. However, these models, trained with...
Upcoming Events
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December45:30 - 8 pm
Public Lecture
Event DetailsPublic event hosted by IBM, the Austin AI Alliance, and the Global AI Alliance (co-founded by IBM). Our Deep Proteins...
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December612:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Computer vision has made remarkable advances through data-driven learning of image-text associations. Large-scale vision and language models…
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December1312:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Deep neural networks (DNNs) have become popular tools to solve ill-posed image recovery problems, such as those associated with...
Past Events
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November29throughDecember1
Workshop
Event DetailsJoin us for a three-day IFML Workshop that offers perspectives on Generative AI from leading researchers across academia and industry...
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November1712:15 - 1 pm
IFML Seminar
Event DetailsAbstract: In this talk, we will present a recent result that if a Boolean function exhibits a sharp threshold at...
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November312:15 - 1 pm
IFML Seminar
Event DetailsAbstract: Distribution matching (DM) has emerged as a cornerstone of trustworthy machine learning, finding application in fairness, robustness,…
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October2012:15 - 1 pm
IFML Seminar
Event DetailsAbstract: Modern city governance relies heavily on crowdsourcing to identify problems such as downed trees and power-lines. Two major concerns...
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October612:15 - 1 pm
IFML Seminar
Event DetailsAbstract: During this presentation, I will delve into an innovative class of optimization problems called finite-sum coupled compositional optimization…
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September2912:15 - 1 pm
IFML Seminar
Event DetailsAbstract: Datasets used in machine learning and statistics are huge and often imperfect, e.g., they contain corrupted data, examples with...
