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. 1911.08731
  4. Cited By
Distributionally Robust Neural Networks for Group Shifts: On the
  Importance of Regularization for Worst-Case Generalization

Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

20 November 2019
Shiori Sagawa
Pang Wei Koh
Tatsunori B. Hashimoto
Percy Liang
    OOD
ArXivPDFHTML

Papers citing "Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization"

20 / 70 papers shown
Title
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
522
4,479
0
18 Apr 2017
Virtual Adversarial Training: A Regularization Method for Supervised and
  Semi-Supervised Learning
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Takeru Miyato
S. Maeda
Masanori Koyama
S. Ishii
GAN
148
2,734
0
13 Apr 2017
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
339
4,629
0
10 Nov 2016
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
104
322
0
11 Oct 2016
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
228
4,312
0
07 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores
Inherent Trade-Offs in the Fair Determination of Risk Scores
Jon M. Kleinberg
S. Mullainathan
Manish Raghavan
FaML
119
1,771
0
19 Sep 2016
Demographic Dialectal Variation in Social Media: A Case Study of
  African-American English
Demographic Dialectal Variation in Social Media: A Case Study of African-American English
Su Lin Blodgett
Lisa Green
Brendan O'Connor
91
354
0
31 Aug 2016
Quantifying Distributional Model Risk via Optimal Transport
Quantifying Distributional Model Risk via Optimal Transport
Jose H. Blanchet
Karthyek Murthy
78
425
0
05 Apr 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
1.2K
16,990
0
16 Feb 2016
Relay Backpropagation for Effective Learning of Deep Convolutional
  Neural Networks
Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks
Li Shen
Zhouchen Lin
Qingming Huang
62
291
0
18 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
883
27,373
0
02 Dec 2015
Distributionally Robust Logistic Regression
Distributionally Robust Logistic Regression
Soroosh Shafieezadeh-Abadeh
Peyman Mohajerin Esfahani
Daniel Kuhn
OOD
78
306
0
30 Sep 2015
Train faster, generalize better: Stability of stochastic gradient
  descent
Train faster, generalize better: Stability of stochastic gradient descent
Moritz Hardt
Benjamin Recht
Y. Singer
116
1,241
0
03 Sep 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
80
1,661
0
19 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,305
0
11 Feb 2015
Causal inference using invariant prediction: identification and
  confidence intervals
Causal inference using invariant prediction: identification and confidence intervals
J. Peters
Peter Buhlmann
N. Meinshausen
OOD
122
971
0
06 Jan 2015
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
244
8,408
0
28 Nov 2014
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
233
6,030
0
26 Sep 2014
Empirical Bernstein Bounds and Sample Variance Penalization
Empirical Bernstein Bounds and Sample Variance Penalization
Andreas Maurer
Massimiliano Pontil
390
543
0
21 Jul 2009
Previous
12