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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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…
Past Events
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November1512:15 - 1:15pm
IFML Seminar
Speaker Bio: Zak Mhammedi is a Research Scientist at Google Research , focusing on reinforcement learning and optimization. He completed...
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November13throughNovember15
Join us for UT Austin’s Year of AI celebration as we showcase the best ideas, innovations and inspiration in the...
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November112:15 - 1 pm
IFML Seminar
Speaker Bio: Cristopher Moore received his B.A. in Physics, Mathematics, and Integrated Science from Northwestern University, and his Ph.D. in...
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October2512:15 - 1 pm
IFML Seminar
Abstract: Reinforcement learning often faces a trade-off between model flexibility and computational tractability. Flexible models can capture complex…
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October1712:15 - 1 pm
IFML Seminar
Abstract: I will argue that deep networks work well because of a characteristic structure in the space of learnable tasks...
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October412:15 - 1 pm
IFML Seminar
Abstract: Sequential decision-making (SDM) is crucial for adapting machine learning to dynamic real-world scenarios such as fluctuating markets or…