ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2010.15100
  4. Cited By
Evaluating Model Robustness and Stability to Dataset Shift

Evaluating Model Robustness and Stability to Dataset Shift

28 October 2020
Adarsh Subbaswamy
R. Adams
Suchi Saria
    OOD
ArXivPDFHTML

Papers citing "Evaluating Model Robustness and Stability to Dataset Shift"

14 / 14 papers shown
Title
BREEDS: Benchmarks for Subpopulation Shift
BREEDS: Benchmarks for Subpopulation Shift
Shibani Santurkar
Dimitris Tsipras
Aleksander Madry
OOD
33
170
0
11 Aug 2020
Hidden Stratification Causes Clinically Meaningful Failures in Machine
  Learning for Medical Imaging
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging
Luke Oakden-Rayner
Jared A. Dunnmon
G. Carneiro
Christopher Ré
OOD
48
380
0
27 Sep 2019
Invariant Risk Minimization
Invariant Risk Minimization
Martín Arjovsky
Léon Bottou
Ishaan Gulrajani
David Lopez-Paz
OOD
135
2,190
0
05 Jul 2019
Learning Models with Uniform Performance via Distributionally Robust
  Optimization
Learning Models with Uniform Performance via Distributionally Robust Optimization
John C. Duchi
Hongseok Namkoong
OOD
39
413
0
20 Oct 2018
Counterfactual Normalization: Proactively Addressing Dataset Shift and
  Improving Reliability Using Causal Mechanisms
Counterfactual Normalization: Proactively Addressing Dataset Shift and Improving Reliability Using Causal Mechanisms
Adarsh Subbaswamy
Suchi Saria
OOD
14
25
0
09 Aug 2018
Convergence and Concentration of Empirical Measures under Wasserstein
  Distance in Unbounded Functional Spaces
Convergence and Concentration of Empirical Measures under Wasserstein Distance in Unbounded Functional Spaces
Jing Lei
31
119
0
27 Apr 2018
Robust Covariate Shift Prediction with General Losses and Feature Views
Robust Covariate Shift Prediction with General Losses and Feature Views
Anqi Liu
Brian Ziebart
OOD
24
15
0
28 Dec 2017
Certifying Some Distributional Robustness with Principled Adversarial
  Training
Certifying Some Distributional Robustness with Principled Adversarial Training
Aman Sinha
Hongseok Namkoong
Riccardo Volpi
John C. Duchi
OOD
71
858
0
29 Oct 2017
Statistics of Robust Optimization: A Generalized Empirical Likelihood
  Approach
Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach
John C. Duchi
Peter Glynn
Hongseok Namkoong
82
321
0
11 Oct 2016
Variance-based regularization with convex objectives
Variance-based regularization with convex objectives
John C. Duchi
Hongseok Namkoong
39
348
0
08 Oct 2016
Distributionally Robust Logistic Regression
Distributionally Robust Logistic Regression
Soroosh Shafieezadeh-Abadeh
Peyman Mohajerin Esfahani
Daniel Kuhn
OOD
35
304
0
30 Sep 2015
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
305
9,418
0
28 May 2015
Data-driven Distributionally Robust Optimization Using the Wasserstein
  Metric: Performance Guarantees and Tractable Reformulations
Data-driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations
Peyman Mohajerin Esfahani
Daniel Kuhn
39
1,641
0
19 May 2015
On the rate of convergence in Wasserstein distance of the empirical
  measure
On the rate of convergence in Wasserstein distance of the empirical measure
N. Fournier
Arnaud Guillin
73
1,138
0
07 Dec 2013
1