Regularized Learning for Domain Adaptation under Label Shifts

22 March 2019

Kamyar Azizzadenesheli

Papers citing "Regularized Learning for Domain Adaptation under Label Shifts"

31 / 81 papers shown

Title
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 337 1,452 0 14 Dec 2020
Disentangling Label Distribution for Long-tailed Visual Recognition Youngkyu Hong Seungju Han Kwanghee Choi Seokjun Seo Beomsu Kim Buru Chang 89 238 0 01 Dec 2020
Self-Supervised Real-to-Sim Scene Generation Aayush Prakash Shoubhik Debnath Jean-Francois Lafleche Eric Cameracci Gavriel State Stan Birchfield M. Law 82 26 0 30 Nov 2020
Importance Weight Estimation and Generalization in Domain Adaptation under Label Shift Kamyar Azizzadenesheli OOD 145 13 0 29 Nov 2020
DIRL: Domain-Invariant Representation Learning for Sim-to-Real Transfer A. Tanwani OOD 76 27 0 15 Nov 2020
Domain adaptation under structural causal models Yuansi Chen Peter Buhlmann CML OOD AI4CE 132 40 0 29 Oct 2020
Coping with Label Shift via Distributionally Robust Optimisation J.N. Zhang A. Menon Andreas Veit Srinadh Bhojanapalli Sanjiv Kumar S. Sra OOD 106 71 0 23 Oct 2020
Robust Fairness under Covariate Shift Ashkan Rezaei Anqi Liu Omid Memarrast Brian Ziebart TTA OOD 135 86 0 11 Oct 2020
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation Sicheng Zhao Xiangyu Yue Shanghang Zhang Yue Liu Han Zhao ... Ravi Krishna Joseph E. Gonzalez Alberto L. Sangiovanni-Vincentelli Sanjit A. Seshia Kurt Keutzer 135 270 0 01 Sep 2020
$Beyond $\mathcal{H}$-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence$ Beyond $\mathcal{H}$ -Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence Changjian Shui Qi Chen Jun Wen Fan Zhou Christian Gagné Boyu Wang 97 23 0 30 Jul 2020
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning Jaehyung Kim Youngbum Hur Sejun Park Eunho Yang Sung Ju Hwang Jinwoo Shin 73 166 0 17 Jul 2020
Active Learning under Label Shift Eric Zhao Anqi Liu Anima Anandkumar Yisong Yue 116 26 0 16 Jul 2020
Transferable Calibration with Lower Bias and Variance in Domain Adaptation Ximei Wang Mingsheng Long Jianmin Wang Michael I. Jordan 76 54 0 16 Jul 2020
Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization Sang Michael Xie Tengyu Ma Percy Liang 135 15 0 29 Jun 2020
Optimal Transport for Conditional Domain Matching and Label Shift A. Rakotomamonjy Rémi Flamary Gilles Gasso Mokhtar Z. Alaya Maxime Bérar Nicolas Courty OOD OT 58 28 0 15 Jun 2020
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation Xiang Jiang Qicheng Lao Stan Matwin Mohammad Havaei 83 113 0 09 Jun 2020
Representation Bayesian Risk Decompositions and Multi-Source Domain Adaptation Xi Wu Yang Guo Jiefeng Chen Yingyu Liang S. Jha P. Chalasani OOD UQCV 74 7 0 22 Apr 2020
A Unified View of Label Shift Estimation Saurabh Garg Yifan Wu Sivaraman Balakrishnan Zachary Chase Lipton 101 147 0 17 Mar 2020
A Label Proportions Estimation Technique for Adversarial Domain Adaptation in Text Classification Zhuohao Chen Singla Karan David C. Atkins Zac E. Imel Shrikanth Narayanan VLM 56 2 0 16 Mar 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 116 192 0 10 Mar 2020
LEEP: A New Measure to Evaluate Transferability of Learned Representations Cuong V Nguyen Tal Hassner Matthias Seeger Cédric Archambeau 103 223 0 27 Feb 2020
Domain Adaptation as a Problem of Inference on Graphical Models Kun Zhang Biwei Huang P. Stojanov Erdun Gao Qingsong Liu Clark Glymour OOD 118 66 0 09 Feb 2020
Class-imbalanced Domain Adaptation: An Empirical Odyssey Shuhan Tan Xingchao Peng Kate Saenko OOD 67 11 0 23 Oct 2019
Transferability and Hardness of Supervised Classification Tasks Anh Tran Cuong V Nguyen Tal Hassner 188 169 0 21 Aug 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao Colin Wei Adrien Gaidon Nikos Arechiga Tengyu Ma 139 1,617 0 18 Jun 2019
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges Rob Ashmore R. Calinescu Colin Paterson AI4TS 73 119 0 10 May 2019
On Learning Invariant Representation for Domain Adaptation Haiying Zhao Rémi Tachet des Combes Kun Zhang Geoffrey J. Gordon OOD 87 157 0 27 Jan 2019
Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation Amr M. Alexandari A. Kundaje Avanti Shrikumar 52 9 0 21 Jan 2019
A review of domain adaptation without target labels Wouter M. Kouw Marco Loog OOD VLM 72 491 0 16 Jan 2019
What is the Effect of Importance Weighting in Deep Learning? Jonathon Byrd Zachary Chase Lipton 165 467 0 08 Dec 2018
Domain Generalization by Marginal Transfer Learning Gilles Blanchard A. Deshmukh Ürün Dogan Gyemin Lee Clayton Scott OOD 104 287 0 21 Nov 2017