The Causal Structure of Domain Invariant Supervised Representation
Learning

The Causal Structure of Domain Invariant Supervised Representation Learning

15 August 2022

Papers citing "The Causal Structure of Domain Invariant Supervised Representation Learning"

19 / 19 papers shown

Title
Just Train Twice: Improving Group Robustness without Training Group Information Emmy Liu Behzad Haghgoo Annie S. Chen Aditi Raghunathan Pang Wei Koh Shiori Sagawa Percy Liang Chelsea Finn OOD 82 553 0 19 Jul 2021
Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests Victor Veitch Alexander DÁmour Steve Yadlowsky Jacob Eisenstein OOD 46 92 0 31 May 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 168 1,418 0 14 Dec 2020
Named Entity Recognition for Social Media Texts with Semantic Augmentation Yuyang Nie Yuanhe Tian Xiang Wan Yan Song Bo Dai 50 72 0 29 Oct 2020
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation Karan Goel Albert Gu Yixuan Li Christopher Ré 60 119 0 15 Aug 2020
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift Rémi Tachet des Combes Han Zhao Yu Wang Geoffrey J. Gordon OOD AAML VLM 62 186 0 10 Mar 2020
A Primer on Domain Adaptation Pirmin Lemberger Ivan Panico OOD 29 14 0 27 Jan 2020
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Percy Liang OOD 67 1,229 0 20 Nov 2019
Unsupervised Data Augmentation for Consistency Training Qizhe Xie Zihang Dai Eduard H. Hovy Minh-Thang Luong Quoc V. Le 117 2,306 0 29 Apr 2019
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks Jason W. Wei Kai Zou 90 1,931 0 31 Jan 2019
Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness Magdalini Paschali Walter Simson Abhijit Guha Roy Muhammad Ferjad Naeem Rudiger Gobl Christian Wachinger Nassir Navab AAML 48 21 0 14 Jan 2019
Counterfactual Fairness in Text Classification through Robustness Sahaj Garg Vincent Perot Nicole Limtiaco Ankur Taly Ed H. Chi Alex Beutel 82 258 0 27 Sep 2018
Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations Sosuke Kobayashi 76 610 0 16 May 2018
Detecting and Correcting for Label Shift with Black Box Predictors Zachary Chase Lipton Yu Wang Alex Smola OOD 56 548 0 12 Feb 2018
Deep CORAL: Correlation Alignment for Deep Domain Adaptation Baochen Sun Kate Saenko OOD 86 3,123 0 06 Jul 2016
Improving Neural Machine Translation Models with Monolingual Data Rico Sennrich Barry Haddow Alexandra Birch 228 2,710 0 20 Nov 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 359 9,418 0 28 May 2015
Causal inference using invariant prediction: identification and confidence intervals J. Peters Peter Buhlmann N. Meinshausen OOD 107 961 0 06 Jan 2015
On Causal and Anticausal Learning Bernhard Schölkopf Dominik Janzing J. Peters Eleni Sgouritsa Kun Zhang Joris Mooij CML 79 604 0 27 Jun 2012