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Transfer learning enhances learning across tasks, by leveraging previously learned representations -- if they are properly chosen.
To transfer or not to transfer
Michael T Rosenstein, Zvika Marx, Leslie Pack Kaelbling, and Thomas G Dietterich · 2005
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Dbpedia: A nucleus for a web of open data
Sören Auer, Christian Bizer, Georgi Kobilarov, Jens Lehmann, and Zachary Ives · 2007
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Boosting for transfer learning
Wenyuan Dai, Qiang Yang, Gui-Rong Xue, and Yong Yu · 2007
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Automated flower classification over a large number of classes
M.-E. Nilsback and A. Zisserman · 2008
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Imagenet: A large-scale hierarchical image database
R. Socher L.-J. Li K. Li J. Deng, W. Dong and L. Fei-Fei · 2009
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Multi-task transfer learning for weakly-supervised relation extraction
Jing Jiang · 2009
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A Survey on Transfer Learning
Sinno Jialin Pan and Qiang Yang · 2010
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Transfer learning
Lisa Torrey and Jude Shavlik · 2010
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Relation adaptation: learning to extract novel relations with minimum supervision
Danushka Bollegala, Yutaka Matsuo, and Mitsuru Ishizuka · 2011
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The caltech-ucsd birds-200-2011 dataset
P. Welinder P. Perona C. Wah, S. Branson and S. Belongie · 2011
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Stochastic gradient tricks
Léon Bottou · 2012
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The effects of training set size for performance of support vector machines and decision trees
Taskin Kavzoglu and Ismail Colkesen · 2012
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How do humans sketch objects?
J. Hays M. Eitz and M. Alexa · 2012
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Transferring learning from external to internal weights in Echo-State networks with sparse connectivity
David Sussillo and L. Abbott · 2012
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3D object representations for fine-grained categorization
J. Deng J. Krause, M. Stark and L. Fei-Fei · 2013
Cited alongside, same era.
Zero-Shot Learning Through Cross-Modal Transfer
Richard Socher, Milind Ganjoo, Hamsa Sridhar, Osbert Bastani, Christopher D. Manning, and Andrew Y. Ng · 2013
Cited alongside, same era.
Learning deep features for scene recognition using places database
J. Xiao A. Torralba B. Zhou, A. Lapedriza and A. Oliva · 2014
Cited alongside, same era.
Learning to learn, from transfer learning to domain adaptation: A unifying perspective
Novi Patricia and Barbara Caputo · 2014
Cited alongside, same era.
CNN features off-the-shelf: an astounding baseline for recognition
Ali Sharif Razavian, Hossein Azizpour, Josephine Sullivan, and Stefan Carlsson · 2014
Cited alongside, same era.
How transferable are features in deep neural networks?
Visual domain decathlon
L. Zitnick K. He A. Torralba, K. Murphy · 2017
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Model-agnostic meta-learning for fast adaptation of deep networks
Chelsea Finn, Pieter Abbeel, and Sergey Levine · 2017
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Borrowing treasures from the wealthy: Deep transfer learning through selective joint fine-tuning
Weifeng Ge and Yizhou Yu · 2017
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Deep learning scaling is predictable, empirically
Joel Hestness, Sharan Narang, Newsha Ardalani, Gregory F. Diamos, Heewoo Jun, Hassan Kianinejad, Md. Mostofa Ali Patwary, Yang Yang, and Yanqi Zhou · 2017
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Label efficient learning of transferable representations across domains and tasks
Zelun Luo, Yuliang Zou, Judy Hoffman, and Li Fei-Fei · 2017
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Jason Yosinski, Jeff Clune, Yoshua Bengio, and Hod Lipson · 2014
Cited alongside, same era.
Metalearning: a survey of trends and technologies
Christiane Lemke, Marcin Budka, and Bogdan Gabrys · 2015
Cited alongside, same era.
Imagenet large scale visual recognition challenge
Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael Bernstein Alexander C. Berg Li Fei-Fei Olga Russakovsky, Jia Deng · 2015
Cited alongside, same era.
Large-scale classification of fineart paintings: Learning the right metric on the right feature
B. Saleh and A. Elgammal · 2015
Cited alongside, same era.
Distant supervision for relation extraction via piecewise convolutional neural networks
Daojian Zeng, Kang Liu, Yubo Chen, and Jun Zhao · 2015
Cited alongside, same era.
Factors of Transferability for a Generic ConvNet Representation
Hossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, Atsuto Maki, and Stefan Carlsson · 2016
Cited alongside, same era.
A Two-stage Approach for Extending Event Detection to New Types via Neural Networks
Thien Huu Nguyen, Lisheng Fu, Kyunghyun Cho, and Ralph Grishman · 2016
Cited alongside, same era.
Learning to select data for transfer learning with bayesian optimization
Sebastian Ruder and Barbara Plank · 2017
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Ying Wei, Yu Zhang, and Qiang Yang · 2017
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Document Image Classification with Intra-Domain Transfer Learning and Stacked Generalization of Deep Convolutional Neural Networks
Arindam Das, Saikat Roy, and Ujjwal Bhattacharya · 2018
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A Dataset for Web-scale Knowledge Base Population
Michael Glass and Alfio Gliozzo · 2018
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Transfer learning via learning to transfer
Wei Ying, Yu Zhang, Junzhou Huang, and Qiang Yang · 2018
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Taskonomy: Disentangling task transfer learning
Amir Roshan Zamir, Alexander Sax, William B. Shen, Leonidas J. Guibas, Jitendra Malik, and Silvio Savarese · 2018
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Task2vec: Task embedding for meta learning
Rahul Tewari Avinash Ravichandran Subhransu Maji Charless Fowlkes Stefano Soatto Pietro Perona Alessandro Achille1, Michael Lam · 2019
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Automatic labeling of data for transfer learning
Parijat Dube, Bishwaranjan Bhattacharjee, Siyu Huo, Patrick Watson, Brian Belgodere, and John R Kender · 2019
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