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 - researchr publication

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Javier Antorán, Arno Blaas, Fan Feng, Sahra Ghalebikesabi, Ian Mason, Melanie F. Pradier, David Rohde, Francisco J. R. Ruiz, Aaron Schein, editors, 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. Volume 187 of Proceedings of Machine Learning Research, PMLR, 2022. [doi]

Conference: icbinb2022

Abstract is missing.

Lempel-Ziv NetworksRebecca Saul, Mohammad Mahmudul Alam, John Hurwitz, Edward Raff, Tim Oates 0001, James Holt. 1-11 [doi]

When Does Re-initialization Work?Sheheryar Zaidi, Tudor Berariu, Hyunjik Kim, Jörg Bornschein, Claudia Clopath, Yee Whye Teh, Razvan Pascanu. 12-26 [doi]

Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-LearnersElre T. Oldewage, John Bronskill, Richard E. Turner. 27-40 [doi]

Denoising Deep Generative ModelsGabriel Loaiza-Ganem, Brendan Leigh Ross, Luhuan Wu, John P. Cunningham, Jesse C. Cresswell, Anthony L. Caterini. 41-50 [doi]

On the Maximum Hessian Eigenvalue and GeneralizationSimran Kaur 0001, Jeremy Cohen 0001, Zachary Chase Lipton. 51-65 [doi]

Continuous Soft Pseudo-Labeling in ASRTatiana Likhomanenko, Ronan Collobert, Navdeep Jaitly, Samy Bengio. 66-84 [doi]

Volume-based Performance not Guaranteed by Promising Patch-based Results in Medical ImagingAbhishek Moturu, Sayali Joshi, Andrea S. Doria, Anna Goldenberg. 85-93 [doi]

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