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Proceedings of Machine Learning Research | Proceedings on “I Can’t Believe It’s Not Better! - Understanding Deep Learning Through Empirical Falsification” at NeurIPS 2022 Workshops Held in New Orleans, Louisiana, USA on 03 December 2022 Published as Volume 187 by the Proceedings of Machine Learning Research on 28 February 2023. Volume Edited by: Javier Antorán Arno Blaas Fan Feng Sahra Ghalebikesabi Ian Mason Melanie F. Pradier David Rohde Francisco J. R. Ruiz Aaron Schein Series Editors: Neil D. Lawrence
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[Proceedings on Proceedings of Machine Learning Research

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Volume 187: Proceedings on "I Can't Believe It's Not Better! - Understanding Deep Learning Through Empirical Falsification" at NeurIPS 2022 Workshops, 03 December 2022, New Orleans, Louisiana, USA

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Editors: Javier Antorán, Arno Blaas, Fan Feng, Sahra Ghalebikesabi, Ian Mason, Melanie F. Pradier, David Rohde, Francisco J. R. Ruiz, Aaron Schein

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Lempel-Ziv Networks

Rebecca Saul, Mohammad Mahmudul Alam, John Hurwitz, Edward Raff, Tim Oates, James Holt; Proceedings on "I Can't Believe It's Not Better! - Understanding Deep Learning Through Empirical Falsification" at NeurIPS 2022 Workshops, PMLR 187:1-11

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When Does Re-initialization Work?

Sheheryar Zaidi, Tudor Berariu, Hyunjik Kim, Jorg Bornschein, Claudia Clopath, Yee Whye Teh, Razvan Pascanu; Proceedings on "I Can't Believe It's Not Better! - Understanding Deep Learning Through Empirical Falsification" at NeurIPS 2022 Workshops, PMLR 187:12-26

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Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners

Elre T. Oldewage, John Bronskill, Richard E. Turner; Proceedings on "I Can't Believe It's Not Better! - Understanding Deep Learning Through Empirical Falsification" at NeurIPS 2022 Workshops, PMLR 187:27-40

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Denoising Deep Generative Models

Gabriel Loaiza-Ganem, Brendan Leigh Ross, Luhuan Wu, John Patrick Cunningham, Jesse C. Cresswell, Anthony L. Caterini; Proceedings on "I Can't Believe It's Not Better! - Understanding Deep Learning Through Empirical Falsification" at NeurIPS 2022 Workshops, PMLR 187:41-50

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On the Maximum Hessian Eigenvalue and Generalization

Simran Kaur, Jeremy Cohen, Zachary Chase Lipton; Proceedings on "I Can't Believe It's Not Better! - Understanding Deep Learning Through Empirical Falsification" at NeurIPS 2022 Workshops, PMLR 187:51-65

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Continuous Soft Pseudo-Labeling in ASR

Tatiana Likhomanenko, Ronan Collobert, Navdeep Jaitly, Samy Bengio; Proceedings on "I Can't Believe It's Not Better! - Understanding Deep Learning Through Empirical Falsification" at NeurIPS 2022 Workshops, PMLR 187:66-84

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Volume-based Performance not Guaranteed by Promising Patch-based Results in Medical Imaging

Abhishek Moturu, Sayali Joshi, Andrea S. Doria, Anna Goldenberg; Proceedings on "I Can't Believe It's Not Better! - Understanding Deep Learning Through Empirical Falsification" at NeurIPS 2022 Workshops, PMLR 187:85-93

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