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We focus on the problem of domain adaptation when the goal is shifting the model towards the target distribution, rather than learning domain invariant representations.
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Basura Fernando, Amaury Habrard, Marc Sebban, and Tinne Tuytelaars · 2013
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Iterative self-labeling domain adaptation for linear structured image classification
Amaury Habrard, Jean-Philippe Peyrache, and M. Sebban · 2013
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Wojciech Zaremba and Ilya Sutskever · 2014
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Tom Kocmi and Ondřej Bojar · 2017
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Competence-based curriculum learning for neural machine translation
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Self-training with noisy student improves imagenet classification
Qizhe Xie, Eduard Hovy, Minh-Thang Luong, and Quoc V Le · 2019
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Billion-scale semi-supervised learning for image classification
I Zeki Yalniz, Hervé Jégou, Kan Chen, Manohar Paluri, and Dhruv Mahajan · 2019
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Correlation alignment for unsupervised domain adaptation
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From detection of individual metastases to classification of lymph node status at the patient level: the camelyon17 challenge
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Sheng Guo, Weilin Huang, Haozhi Zhang, Chenfan Zhuang, Dengke Dong, Matthew R. Scott, and Dinglong Huang · 2018
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Simple domain adaptation with class prediction uncertainty alignment
Jeroen Manders, Elena Marchiori, and Twan van Laarhoven · 2018
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Learning semantic representations for unsupervised domain adaptation
Shaoan Xie, Zibin Zheng, Liang Chen, and Chuan Chen · 2018
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Curriculum learning for domain adaptation in neural machine translation
Xuan Zhang, Pamela Shapiro, Gaurav Kumar, Paul McNamee, Marine Carpuat, and Kevin Duh · 2019
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Confidence regularized self-training
Yang Zou, Zhiding Yu, Xiaofeng Liu, BVK Kumar, and Jinsong Wang · 2019
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The many faces of robustness: A critical analysis of out-of-distribution generalization
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Exploring the memorization-generalization continuum in deep learning
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Understanding self-training for gradual domain adaptation
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Wasserstein style transfer
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Unsupervised domain adaptation through self-supervision, 2020
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Rethinking pre-training and self-training
Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin, Yin Cui, Hanxiao Liu, Ekin D Cubuk, and Quoc V Le · 2020
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Wilds: A benchmark of in-the-wild distribution shifts
Henrik Marklund Sang Michael Xie Marvin Zhang Akshay Balsubramani Weihua Hu Michihiro Yasunaga Richard Lanas Phillips Irena Gao Tony Lee Etienne David Ian Stavness Wei Guo Berton A. Earnshaw Imran S. Haque Sara Beery Jure Leskovec Anshul Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang Pang Wei Koh, Shiori Sagawa · 2021
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When do curricula work?
Xiaoxia Wu, Ethan Dyer, and Behnam Neyshabur · 2021
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