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Predicting Out-of-Distribution Error with Confidence Optimal Transport

Predicting Out-of-Distribution Error with Confidence Optimal Transport

10 February 2023
Yuzhe Lu
Zhenlin Wang
Runtian Zhai
Soheil Kolouri
Joseph Campbell
Katia Sycara
    OODD
ArXiv (abs)PDFHTML

Papers citing "Predicting Out-of-Distribution Error with Confidence Optimal Transport"

11 / 11 papers shown
Monitoring Risks in Test-Time Adaptation
Monitoring Risks in Test-Time Adaptation
Mona Schirmer
Metod Jazbec
C. A. Naesseth
Eric T. Nalisnick
TTA
508
2
0
11 Jul 2025
ODD: Overlap-aware Estimation of Model Performance under Distribution Shift
ODD: Overlap-aware Estimation of Model Performance under Distribution ShiftConference on Uncertainty in Artificial Intelligence (UAI), 2025
Aayush Mishra
Anqi Liu
199
1
0
17 Jun 2025
Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings
Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings
Angéline Pouget
Mohammad Yaghini
Stephan Rabanser
Nicolas Papernot
199
1
0
28 May 2025
Poor-Supervised Evaluation for SuperLLM via Mutual Consistency
Poor-Supervised Evaluation for SuperLLM via Mutual ConsistencyAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Peiwen Yuan
Shaoxiong Feng
Yiwei Li
Xinglin Wang
Boyuan Pan
Heda Wang
Yao Hu
Kan Li
245
1
0
25 Aug 2024
Source-Free Domain-Invariant Performance Prediction
Source-Free Domain-Invariant Performance PredictionEuropean Conference on Computer Vision (ECCV), 2024
Ekaterina Khramtsova
Mahsa Baktashmotlagh
Guido Zuccon
Xi Wang
Mathieu Salzmann
UQCV
267
1
0
05 Aug 2024
The Entropy Enigma: Success and Failure of Entropy Minimization
The Entropy Enigma: Success and Failure of Entropy MinimizationInternational Conference on Machine Learning (ICML), 2024
Ori Press
Ravid Shwartz-Ziv
Yann LeCun
Matthias Bethge
UQCV
485
22
0
08 May 2024
Beyond Top-Class Agreement: Using Divergences to Forecast Performance
  under Distribution Shift
Beyond Top-Class Agreement: Using Divergences to Forecast Performance under Distribution Shift
Mona Schirmer
Dan Zhang
Eric T. Nalisnick
146
0
0
13 Dec 2023
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without LabelsNeural Information Processing Systems (NeurIPS), 2023
Xin-Yang Zheng
Miao Zhang
C. Chen
Soheila Molaei
Chuan Zhou
Shirui Pan
GNN
322
19
0
23 Oct 2023
Distance Matters For Improving Performance Estimation Under Covariate
  Shift
Distance Matters For Improving Performance Estimation Under Covariate Shift
Mélanie Roschewitz
Ben Glocker
251
1
0
14 Aug 2023
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement
  Discrepancy
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement DiscrepancyNeural Information Processing Systems (NeurIPS), 2023
Elan Rosenfeld
Saurabh Garg
UQCV
187
12
0
01 Jun 2023
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation
  Approach
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation ApproachNeural Information Processing Systems (NeurIPS), 2023
Zhimeng Jiang
Xiaotian Han
Hongye Jin
Guanchu Wang
Rui Chen
Na Zou
Helen Zhou
330
16
0
06 Mar 2023
1