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In practical machine learning settings, the data on which a model must make predictions often come from a different distribution than the data it was trained on.
DistilBERT, a Distilled Version of BERT: Smaller, Faster, Cheaper and Lighter
Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf. 2019 · 1910
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Domain Adaptation with Structural Correspondence Learning
John Blitzer, Ryan McDonald, and Fernando Pereira. 2006 · 2006
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Biographies, Bollywood, Boom-Boxes and Blenders: Domain Adaptation for Sentiment Classification
John Blitzer, Mark Dredze, and Fernando Pereira. 2007 · 2007
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Frustratingly Easy Domain Adaptation
Hal Daumé, III. 2007 · 2007
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Hierarchical Bayesian Domain Adaptation
Jenny Rose Finkel and Christopher D. Manning. 2009 · 2009
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Computing Krippendorff’s Alpha-Reliability
Klaus Krippendorff. 2011 · 2011
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What You Saw is Not What You Get: Domain Adaptation Using Asymmetric Kernel Transforms
Brian Kulis, Kate Saenko, and Trevor Darrell. 2011 · 2011
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Semi-supervised Domain Adaptation with Instance Constraints
Jeff Donahue, Judy Hoffman, Erik Rodner, Kate Saenko, and Trevor Darrell. 2013 · 2013
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Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin and Victor Lempitsky. 2015 · 2015
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Semi-supervised Domain Adaptation with Subspace Learning for Visual Recognition
Ting Yao, Yingwei Pan, Chong-Wah Ngo, Houqiang Li, and Tao Mei. 2015 · 2015
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Analysing How People Orient to and Spread Rumours in Social Media by Looking at Conversational Threads
Arkaitz Zubiaga, Maria Liakata, Rob Procter, Geraldine Wong Sak Hoi, and Peter Tolmie. 2016 · 2016
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Enriching Word Vectors with Subword Information
Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2017 · 2017
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Part-of-Speech Tagging for Twitter with Adversarial Neural Networks
Tao Gui, Qi Zhang, Haoran Huang, Minlong Peng, and Xuan-Jing Huang. 2017 · 2017
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Domain Attention With an Ensemble of Experts
Young-Bum Kim, Karl Stratos, and Dongchan Kim. 2017 · 2017
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Attention is All You Need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Neural Structural Correspondence Learning for Domain Adaptation
BERT: Pre-Training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Later among the works it cites.
Unsupervised Domain Adaptation of Contextualized Embeddings: A Case Study in Early Modern English
Xiaochuang Han and Jacob Eisenstein. 2019 · 2019
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A Review of Domain Adaptation Without Target Labels
Wouter Marco Kouw and Marco Loog. 2019 · 2019
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Domain Adaptation with BERT-based Domain Classification and Data Selection
Xiaofei Ma, Peng Xu, Zhiguo Wang, Ramesh Nallapati, and Bing Xiang. 2019 · 2019
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Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks
Suchin Gururangan, Ana Marasović, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, and Noah A. Smith. 2020 · 2020
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Does BERT Need Domain Adaptation for Clinical Negation Detection?
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Yftah Ziser and Roi Reichart. 2017 · 2017
Cited alongside, same era.
Exploiting Context for Rumour Detection in Social Media
Arkaitz Zubiaga, Maria Liakata, and Rob Procter. 2017 · 2017
Cited alongside, same era.
Multi-Source Domain Adaptation with Mixture of Experts
Jiang Guo, Darsh Shah, and Regina Barzilay. 2018 · 2018
Cited alongside, same era.
What’s in a Domain? Learning Domain-Robust Text Representations Using Adversarial Training
Yitong Li, Timothy Baldwin, and Trevor Cohn. 2018 · 2018
Cited alongside, same era.
Detecting and Correcting for Label Shift with Black Box Predictors
Zachary C. Lipton, Yu-Xiang Wang, and Alexander J. Smola. 2018 · 2018
Cited alongside, same era.
Chen Lin, Steven Bethard, Dmitriy Dligach, Farig Sadeque, Guergana Savova, and Timothy A Miller. 2020 · 2020
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Adapt or Get Left Behind: Domain Adaptation Through Bert Language Model Finetuning for Aspect-Target Sentiment Classification
Alexander Rietzler, Sebastian Stabinger, Paul Opitz, and Stefan Engl. 2020 · 2020
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Claim Check-Worthiness Detection as Positive Unlabelled Learning
Dustin Wright and Isabelle Augenstein. 2020 · 2020
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Return of Frustratingly Easy Domain Adaptation
Baochen Sun, Jiashi Feng, and Kate Saenko. 2016 · 2065
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