More Language, Less Labeling with Kate Saenko - #580

More Language, Less Labeling with Kate Saenko - #580

Today we continue our CVPR series joined by Kate Saenko, an associate professor at Boston University and a consulting professor for the MIT-IBM Watson AI Lab. In our conversation with Kate, we explore her research in multimodal learning, which she spoke about at the Multimodal Learning and Applications Workshop, one of a whopping 6 workshops she spoke at. We discuss the emergence of multimodal learning, the current research frontier, and Kate’s thoughts on the inherent bias in LLMs and how to deal with it. We also talk through some of the challenges that come up when building out applications, including the cost of labeling, and some of the methods she’s had success with. Finally, we discuss Kate’s perspective on the monopolizing of computing resources for “foundational” models, and her paper Unsupervised Domain Generalization by learning a Bridge Across Domains. The complete show notes for this episode can be found at twimlai.com/go/580

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Today, we're joined by Marius Memmel, a PhD student at the University of Washington, to discuss his research on sim-to-real transfer approaches for developing autonomous robotic agents in unstructured...

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Building Real-World LLM Products with Fine-Tuning and More with Hamel Husain - #694

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Mamba, Mamba-2 and Post-Transformer Architectures for Generative AI with Albert Gu - #693

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Decoding Animal Behavior to Train Robots with EgoPet with Amir Bar - #692

Today, we're joined by Amir Bar, a PhD candidate at Tel Aviv University and UC Berkeley to discuss his research on visual-based learning, including his recent paper, “EgoPet: Egomotion and Interaction...

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