In this talk, Rahul G. Krishnan will highlight recent advances in bridging the gap between the two fields and motivate the rationale for studying, building, and scaling neural networks that reason causally.
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SRI Seminar Series: Rahul G. Krishnan, “From associational to causal predictions with deep learning”
SRI Seminar Series: Rahul G. Krishnan, “From associational to causal predictions with deep learning”
In this talk, Rahul G. Krishnan will highlight recent advances in bridging the gap between the two fields and motivate the rationale for studying, building, and scaling neural networks that reason causally. |
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While the lawsuits are still in early stages, fair use/fair dealing defenses are likely to be the main focus of judicial analyses of their merits. This talk will explain the issues that judges have decided so far and what issues have yet to be addressed. |
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In this talk, Catherine Stinson will examine the rise of benchmark datasets in AI, such as ImageNet, and their role in advancing deep learning, critiquing the overly enthusiastic embrace of benchmarks as a harmful practice that can distort research incentives. |
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Our weekly SRI Seminar Series welcomes Yejin Choi, incoming professor in the Department of Computer Science at Stanford University and Senior Fellow at the Stanford Institute for Human-Centered Artificial Intelligence. |
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