Robust Visual Reasoning with Adriana Kovashka - #463

Robust Visual Reasoning with Adriana Kovashka - #463

Today we’re joined by Adriana Kovashka, an Assistant Professor at the University of Pittsburgh. In our conversation with Adriana, we explore her visual commonsense research, and how it intersects with her background in media studies. We discuss the idea of shortcuts, or faults in visual question answering data sets that appear in many SOTA results, as well as the concept of masking, a technique developed to assist in context prediction. Adriana then describes how these techniques fit into her broader goal of trying to understand the rhetoric of visual advertisements. Finally, Adriana shares a bit about her work on robust visual reasoning, the parallels between this research and other work happening around explainability, and the vision for her work going forward. The complete show notes for this episode can be found at twimlai.com/go/463.

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Engineering the Future of AI with Ruchir Puri - TWiML Talk #21

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From Particle Physics to Audio AI with Scott Stephenson - TWiML Talk #19

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(3/5) Cambrian Intelligence - Using AI to Simplify the Programming of Robots - TWiML Talk #18

This week I'm on location at NYU/ffVC AI NexusLab startup accelerator, speaking with founders from the 5 companies in the program's inaugural batch. This interview is with Cambrian Intelligence, a com...

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(2/5) Klustera - Location-Based Intelligence for Smarter Marketing - TWiML Talk #18

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(1/5) HelloVera - AI-Powered Customer Support - TWiML Talk #18

This week I'm on location at NYU/ffVC AI NexusLab startup accelerator, speaking with founders from the 5 companies in the program's inaugural batch. This interview is with HelloVera, a company applyin...

7 Apr 201725min

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