Great article on my colleague Jimmy Lin (
@lintool
) about his achievements in information retrieval and NLP, for which he was made a Fellow of the ACL. Follows being named a Fellow of the ACM and a member of the SIGIR Academy. Credits to our @UWCheritonCS comms guy Joe Petrik
@thegautamkamath
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Jimmy Lin Named ACL Fellow for IR and NLP Contributions
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Gautam Kamath Recognized as ACL Fellow 2024
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One of nine recognized this year: https://
aclweb.org/portal/content
/acl-fellows-2024
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Jimmy Lin Named 2024 ACL Fellow for QA and IR
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Congratulations to my awesome @UWCheritonCS colleague Jimmy Lin (
@lintool
) on being named a 2024 ACL Fellow! "For significant contributions to question answering and information retrieval." Right on the heels of being named a 2022 ACM Fellow… he's on a roll! -
Publishing research in Statistics over CS for community engagement
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Thank you! We probably could have published it faster in a CS conference. But I really think it's of significant interest to the Statistics community, and believe there should be more engagement between the CS and Stats privacy communities, so we put our money where our mouth is.
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Neural Network Learning Shortcuts: Understanding Model Behavior
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When your neural network learns a shortcut pic.twitter.com/kF5Zo3sdXy
— Gautam Kamath (@thegautamkamath) 4 décembre 2024When your neural network learns a shortcut
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Research Paper Feedback and Acknowledgments for arXiv Submission
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Feedback and comments welcome. Thanks to @gavinrbrown1 @ycherapanamjeri @Samuel_BKH @mahbodm_ @argymouz @zakynthinou for their comments thus far. 2/2 https://
arxiv.org/abs/2412.02670 -
Computationally Efficient Methods for Robust Mean Estimation
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I wrote a survey article on computationally efficient methods for "robust" mean estimation, which includes robustness to contamination, heavy-tailed data, or in the sense of differential privacy. The same ideas are useful for all 3 (seemingly-different) forms of robustness! 1/2
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Canadian AI Researchers Starter Pack on Social Media
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In case you've been looking for your favourite Canadian AI researchers on the other place, I made a starter pack of Canada @CIFAR_News AI Chairs! Let me know if I missed anyone.
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Pascale Gourdeau discusses computability of robust learning
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The last talk of the day, prior to some breakout sessions, is by Pascale Gourdeau, on the computability of robust learning http://
arxiv.org/abs/2406.10161 -
Challenges in Characterizing Distribution Learning Research
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After lunch and a great poster session, @ToscaLechner continues with challenges in the way of characterizing distribution learning http://
arxiv.org/abs/2304.08712