Understanding Out-of-distribution: A Perspective of Data Dynamics

Dyah Adila, Dongyeop Kang; Proceedings on "I (Still) Can't Believe It's Not Better!" at NeurIPS 2021 Workshops, PMLR 163:1-8

[abs][Download PDF][Supplementary PDF]

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

[abs][Download PDF]

Shape Defense

Ali Borji; Proceedings on "I (Still) Can't Believe It's Not Better!" at NeurIPS 2021 Workshops, PMLR 163:15-20

[abs][Download PDF][Supplementary PDF]

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

[abs][Download PDF]

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

[abs][Download PDF][Supplementary PDF]

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

[abs][Download PDF][Supplementary PDF]

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

[abs][Download PDF][Supplementary PDF]

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

[abs][Download PDF]

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

[abs][Download PDF][Supplementary PDF]

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

[abs][Download PDF][Supplementary PDF]

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

[abs][Download PDF][Supplementary PDF]

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

[abs][Download PDF]

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

[abs][Download PDF][Supplementary PDF]

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

[abs][Download PDF][Supplementary PDF]