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
Public 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
Abstract: 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
Abstract: 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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February212:15 - 1 pm
IFML Seminar
Abstract: The Gromov-Wasserstein (GW) distance quantifies dissimilarity between metric measure (mm) spaces and provides a natural correspondence…
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January2612:15 - 1 pm
IFML Seminar
Abstract: How can we find and apply the best optimization algorithm for a given problem? This question is as old...
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January262 - 4 pm
Connecting undergraduate and graduate students with machine learning research opportunities across campus.
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January25All day
The University of Texas at Austin is creating one of the most powerful artificial intelligence hubs in the academic world...
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January1912:15 - 1 pm
IFML Seminar
Abstract: Parameter-free optimization studies algorithms that adapt to the problem structure at hand. Specifically, such algorithms are capable of…
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December812:15 - 1 pm
IFML Seminar
Abstract: The ever-increasing penetration of level-2 autonomous vehicles (AVs) offers an opportunity to reshape the energy efficiency and throughput of…