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ORCID3rd ICBINB 2022, New Orleans, LA, USA
- Javier Antorán, Arno Blaas, Fan Feng, Sahra Ghalebikesabi, Ian Mason, Melanie F. Pradier, David Rohde, Francisco J. R. Ruiz, Aaron Schein:
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. Proceedings of Machine Learning Research 187, PMLR 2022 - Rebecca Saul
, Mohammad Mahmudul Alam, John Hurwitz, Edward Raff, Tim Oates, James Holt:
Lempel-Ziv Networks. 1-11 - Sheheryar Zaidi, Tudor Berariu, Hyunjik Kim, Jörg Bornschein, Claudia Clopath, Yee Whye Teh, Razvan Pascanu:
When Does Re-initialization Work? 12-26 - Elre T. Oldewage, John Bronskill, Richard E. Turner:
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners. 27-40 - Gabriel Loaiza-Ganem, Brendan Leigh Ross, Luhuan Wu, John P. Cunningham, Jesse C. Cresswell, Anthony L. Caterini:
Denoising Deep Generative Models. 41-50 - Simran Kaur, Jeremy Cohen, Zachary Chase Lipton:
On the Maximum Hessian Eigenvalue and Generalization. 51-65 - Tatiana Likhomanenko, Ronan Collobert, Navdeep Jaitly, Samy Bengio:
Continuous Soft Pseudo-Labeling in ASR. 66-84 - Abhishek Moturu, Sayali Joshi, Andrea S. Doria, Anna Goldenberg:
Volume-based Performance not Guaranteed by Promising Patch-based Results in Medical Imaging. 85-93
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