How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?

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How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?

31 January 2024

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Papers citing "How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?"

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Title
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 94,891 0 11 Oct 2018
Annotation Artifacts in Natural Language Inference Data Suchin Gururangan Swabha Swayamdipta Omer Levy Roy Schwartz Samuel R. Bowman Noah A. Smith 150 1,176 0 06 Mar 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 160 9,432 0 09 Feb 2018
Learning to select data for transfer learning with Bayesian Optimization Sebastian Ruder Barbara Plank 75 184 0 17 Jul 2017
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 524 4,479 0 18 Apr 2017
Adversarial Discriminative Domain Adaptation Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell GAN OOD 262 4,667 0 17 Feb 2017
Correlation Alignment for Unsupervised Domain Adaptation Baochen Sun Jiashi Feng Kate Saenko OOD 47 401 0 06 Dec 2016
Domain Separation Networks Konstantinos Bousmalis George Trigeorgis N. Silberman Dilip Krishnan D. Erhan OOD 107 1,450 0 22 Aug 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 378 9,497 0 28 May 2015
Learning Transferable Features with Deep Adaptation Networks Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan OOD 220 5,199 0 10 Feb 2015
Deep Domain Confusion: Maximizing for Domain Invariance Eric Tzeng Judy Hoffman Ning Zhang Kate Saenko Trevor Darrell OOD 172 2,601 0 10 Dec 2014
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin Victor Lempitsky OOD 233 6,030 0 26 Sep 2014