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Beyond Confidence: Reliable Models Should Also Consider Atypicality

Beyond Confidence: Reliable Models Should Also Consider Atypicality

29 May 2023
Mert Yuksekgonul
Linjun Zhang
James Zou
Carlos Guestrin
ArXivPDFHTML

Papers citing "Beyond Confidence: Reliable Models Should Also Consider Atypicality"

26 / 26 papers shown
Title
Aerial Image Classification in Scarce and Unconstrained Environments via Conformal Prediction
Aerial Image Classification in Scarce and Unconstrained Environments via Conformal Prediction
Farhad Pourkamali-Anaraki
172
0
0
24 Apr 2025
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models
Shuoyuan Wang
Yixuan Li
Hongxin Wei
VLM
97
2
0
03 Oct 2024
Targeted synthetic data generation for tabular data via hardness characterization
Targeted synthetic data generation for tabular data via hardness characterization
Tommaso Ferracci
Leonie Goldmann
Anton Hinel
Francesco Sanna Passino
182
0
0
01 Oct 2024
Demystifying Prompts in Language Models via Perplexity Estimation
Demystifying Prompts in Language Models via Perplexity Estimation
Hila Gonen
Srini Iyer
Terra Blevins
Noah A. Smith
Luke Zettlemoyer
LRM
115
210
0
08 Dec 2022
Beyond calibration: estimating the grouping loss of modern neural
  networks
Beyond calibration: estimating the grouping loss of modern neural networks
Alexandre Perez-Lebel
Marine Le Morvan
Gaël Varoquaux
UQCV
39
27
0
28 Oct 2022
Sample-dependent Adaptive Temperature Scaling for Improved Calibration
Sample-dependent Adaptive Temperature Scaling for Improved Calibration
Thomas Joy
Francesco Pinto
Ser-Nam Lim
Philip Torr
P. Dokania
UQCV
50
34
0
13 Jul 2022
Disparities in Dermatology AI Performance on a Diverse, Curated Clinical
  Image Set
Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set
Roxana Daneshjou
Kailas Vodrahalli
R. Novoa
Melissa Jenkins
Weixin Liang
...
Rachna Sahasrabudhe
Johan A. C. Allerup
Utako Okata-Karigane
James Zou
A. Chiou
93
229
0
15 Mar 2022
Theoretical characterization of uncertainty in high-dimensional linear
  classification
Theoretical characterization of uncertainty in high-dimensional linear classification
Lucas Clarté
Bruno Loureiro
Florent Krzakala
Lenka Zdeborová
58
20
0
07 Feb 2022
Datasets: A Community Library for Natural Language Processing
Datasets: A Community Library for Natural Language Processing
Quentin Lhoest
Albert Villanova del Moral
Yacine Jernite
A. Thakur
Patrick von Platen
...
Thibault Goehringer
Victor Mustar
François Lagunas
Alexander M. Rush
Thomas Wolf
187
605
0
07 Sep 2021
A Gentle Introduction to Conformal Prediction and Distribution-Free
  Uncertainty Quantification
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification
Anastasios Nikolas Angelopoulos
Stephen Bates
OOD
170
615
0
15 Jul 2021
Understanding Softmax Confidence and Uncertainty
Understanding Softmax Confidence and Uncertainty
Tim Pearce
Alexandra Brintrup
Jun Zhu
UQCV
118
92
0
09 Jun 2021
Fairness in Machine Learning
Fairness in Machine Learning
L. Oneto
Silvia Chiappa
FaML
279
494
0
31 Dec 2020
Uncertainty Sets for Image Classifiers using Conformal Prediction
Uncertainty Sets for Image Classifiers using Conformal Prediction
Anastasios Nikolas Angelopoulos
Stephen Bates
Jitendra Malik
Michael I. Jordan
UQCV
176
332
0
29 Sep 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep
  Learning via Distance Awareness
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
Jeremiah Zhe Liu
Zi Lin
Shreyas Padhy
Dustin Tran
Tania Bedrax-Weiss
Balaji Lakshminarayanan
UQCV
BDL
148
447
0
17 Jun 2020
Classification with Valid and Adaptive Coverage
Classification with Valid and Adaptive Coverage
Yaniv Romano
Matteo Sesia
Emmanuel J. Candès
303
323
0
03 Jun 2020
Calibrating Deep Neural Networks using Focal Loss
Calibrating Deep Neural Networks using Focal Loss
Jishnu Mukhoti
Viveka Kulharia
Amartya Sanyal
Stuart Golodetz
Philip Torr
P. Dokania
UQCV
81
459
0
21 Feb 2020
Your Classifier is Secretly an Energy Based Model and You Should Treat
  it Like One
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One
Will Grathwohl
Kuan-Chieh Wang
J. Jacobsen
David Duvenaud
Mohammad Norouzi
Kevin Swersky
VLM
76
542
0
06 Dec 2019
With Malice Towards None: Assessing Uncertainty via Equalized Coverage
With Malice Towards None: Assessing Uncertainty via Equalized Coverage
Yaniv Romano
Rina Foygel Barber
C. Sabatti
Emmanuel J. Candès
UQCV
133
73
0
15 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
518
24,351
0
26 Jul 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Kaidi Cao
Colin Wei
Adrien Gaidon
Nikos Arechiga
Tengyu Ma
107
1,594
0
18 Jun 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive
  Uncertainty Under Dataset Shift
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
Yaniv Ovadia
Emily Fertig
Jie Jessie Ren
Zachary Nado
D. Sculley
Sebastian Nowozin
Joshua V. Dillon
Balaji Lakshminarayanan
Jasper Snoek
UQCV
159
1,688
0
06 Jun 2019
Deep Anomaly Detection with Outlier Exposure
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks
Mantas Mazeika
Thomas G. Dietterich
OODD
163
1,475
0
11 Dec 2018
To Trust Or Not To Trust A Classifier
To Trust Or Not To Trust A Classifier
Heinrich Jiang
Been Kim
Melody Y. Guan
Maya R. Gupta
UQCV
152
471
0
30 May 2018
A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams
Nikita Nangia
Samuel R. Bowman
497
4,473
0
18 Apr 2017
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
312
7,971
0
23 May 2016
A tutorial on conformal prediction
A tutorial on conformal prediction
Glenn Shafer
V. Vovk
384
1,135
0
21 Jun 2007
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