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Editors: Melanie F. Pradier, Aaron Schein, Stephanie Hyland, Francisco J. R. Ruiz, Jessica Z. Forde
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Understanding Out-of-distribution: A Perspective of Data Dynamics
; Proceedings on "I (Still) Can't Believe It's Not Better!" at NeurIPS 2021 Workshops, PMLR 163:1-8
Challenges of Adversarial Image Augmentations
Arno Blaas, Xavier Suau, Jason Ramapuram, Nicholas Apostoloff, Luca Zappella; Proceedings on "I (Still) Can't Believe It's Not Better!" at NeurIPS 2021 Workshops, PMLR 163:9-14
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Shape Defense
Ali Borji; Proceedings on "I (Still) Can't Believe It's Not Better!" at NeurIPS 2021 Workshops, PMLR 163:15-20
Entropic Issues in Likelihood-Based OOD Detection
Anthony L. Caterini, Gabriel Loaiza-Ganem; Proceedings on "I (Still) Can't Believe It's Not Better!" at NeurIPS 2021 Workshops, PMLR 163:21-26
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Is the Number of Trainable Parameters All That Actually Matters?
Amélie Chatelain, Amine Djeghri, Daniel Hesslow, Julien Launay; Proceedings on "I (Still) Can't Believe It's Not Better!" at NeurIPS 2021 Workshops, PMLR 163:27-32
Unit-level surprise in neural networks
Cian Eastwood, Ian Mason, Christopher K. I. Williams; Proceedings on "I (Still) Can't Believe It's Not Better!" at NeurIPS 2021 Workshops, PMLR 163:33-40
The Curse of Depth in Kernel Regime
Soufiane Hayou, Arnaud Doucet, Judith Rousseau; Proceedings on "I (Still) Can't Believe It's Not Better!" at NeurIPS 2021 Workshops, PMLR 163:41-47
Text Ranking and Classification using Data Compression
Nitya Kasturi, Igor L. Markov; Proceedings on "I (Still) Can't Believe It's Not Better!" at NeurIPS 2021 Workshops, PMLR 163:48-53
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Nonlinear Denoising, Linear Demixing
Rainer Kelz, Gerhard Widmer; Proceedings on "I (Still) Can't Believe It's Not Better!" at NeurIPS 2021 Workshops, PMLR 163:54-58
Addressing Bias in Active Learning with Depth Uncertainty Networks... or Not
Chelsea Murray, James U. Allingham, Javier Antorán, José Miguel Hernández-Lobato; Proceedings on "I (Still) Can't Believe It's Not Better!" at NeurIPS 2021 Workshops, PMLR 163:59-63
CDF Normalization for Controlling the Distribution of Hidden Nodes
Mike Van Ness, Madeleine Udell; Proceedings on "I (Still) Can't Believe It's Not Better!" at NeurIPS 2021 Workshops, PMLR 163:64-68
The Beauty Everywhere: How Aesthetic Criteria Contribute to the Development of AI
Paulo Pirozelli, João F. N. Cortese; Proceedings on "I (Still) Can't Believe It's Not Better!" at NeurIPS 2021 Workshops, PMLR 163:69-74
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Causal Inference, is just Inference: A beautifully simple idea that not everyone accepts
David Rohde; Proceedings on "I (Still) Can't Believe It's Not Better!" at NeurIPS 2021 Workshops, PMLR 163:75-79
GOPHER: Categorical probabilistic forecasting with graph structure via local continuous-time dynamics
Ke A. Wang, Danielle Maddix, Yuyang Wang; Proceedings on "I (Still) Can't Believe It's Not Better!" at NeurIPS 2021 Workshops, PMLR 163:80-85
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