I Can't Believe It's Not Better!
@ICBINBWorkshop
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Official account of the "I Can't Believe It's Not Better!" (ICBINB) initiative and a workshop
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Joined August 2021
We extended the submission deadline to February 6th, 2025!
Our #ICLR2025 @iclr_conf workshop is looking for submissions on unexpected outcomes and hard-earned lessons in #DeepLearning Submission Deadline: 03 February 2025 Workshop Dates: 27 or 28 April 2025 Location: Singapore More info:
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RT @ICBINBWorkshop: Our #ICLR2025 @iclr_conf workshop is looking for submissions on unexpected outcomes and hard-earned lessons in #DeepLea…
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Our #ICLR2025 @iclr_conf workshop is looking for submissions on unexpected outcomes and hard-earned lessons in #DeepLearning Submission Deadline: 03 February 2025 Workshop Dates: 27 or 28 April 2025 Location: Singapore More info:
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Please spread the word. This is our flyer:
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Excited to announce that our workshop "I Can't Believe It's Not Better: Challenges in Applied Deep Learning" has been accepted at #ICLR2025! 🎉 Stay tuned for updates on the agenda, and paper submissions.
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A massive thank you to everyone who contributed to the success of our #NeurIPS23 Workshop! To our authors, reviewers, speakers, attendees, advisors, and especially to our workshop organizers! @ekellbuch @RuiYang53922541 @ffeng01 Andreas Kriegler @Yubin_Xie @ianxmason @tuelwer
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🎉 Huge congrats to the winners of the Best Poster, Didactic Paper, and Entropic Paper awards at our 2023 NeurIPS ICBINB Workshop! Your contributions to 'Failure Modes in the Age of Foundation Models' are truly exceptional. 🚀 #NeurIPS2023 #ICBINB
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Happening NOW at #NeurIPS2023 #ICBINB workshop: A fiery panel with David Krueger, Tatiana Likhomanenko, Christoph Lampert, & Aaron Schein, steered by Naomi Saphra! They're tackling the promise & perils of LLMs.
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David Krueger is a research director at the UK Frontier AI Task Force and an Assistant Professor of Machine Learning at the University of Cambridge. His work focuses on reducing the risk of human extinction from artificial intelligence (AI x-risk).
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@AaronSchein Aaron Schein is an Assistant Professor at the University of Chicago in the Department of Statistics and the Data Science Institute. His research develops methodology in Bayesian statistics, machine learning, and applied causal inference for the social sciences.
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RT @neuranna: I am speaking at a #NeurIPS2023 workshop "I can't believe it's not better" tomorrow @ 9:30am, room R02-R05 The topic: Why is…
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Vianney Perchet is a professor at the Center of Research in Economics and Statistics (CREST) at the ENSAE since October 2019, mainly focusing on the interplay between machine learning and game theory.
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Wilfried Wöber earned his master’s degree in robotics in 2013. Afterward, in 2017, Wilfried changed to the faculty of industrial engineering of the university of applied sciences Technikum Wien. Wilfried started a Ph.D. journey 2019 focusing specifically on morphometrics.
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She has a PhD from MIT’s Department of Brain and Cognitive Sciences. Today, Anya is examining the language-thought relationship using her cognitive science training to identify similarities and differences between people and machines.
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