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Transfer learning across heterogeneous data distributions (a.k.a.
On the translocation of masses, cr (dokl.) acad
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Shai Ben-David, John Blitzer, Koby Crammer, and Fernando Pereira · 2006
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Yishay Mansour, Mehryar Mohri, and Afshin Rostamizadeh · 2009
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A survey on transfer learning
Sinno Jialin Pan and Qiang Yang · 2009
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Shai Ben-David, John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, and Jennifer Wortman Vaughan · 2010
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Sinno Jialin Pan, Ivor W Tsang, James T Kwok, and Qiang Yang · 2010
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Kate Saenko, Brian Kulis, Mario Fritz, and Trevor Darrell · 2010
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Marco Cuturi · 2013
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Analyzing the performance of multilayer neural networks for object recognition
Pulkit Agrawal, Ross Girshick, and Jitendra Malik · 2014
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An automated measure of mdp similarity for transfer in reinforcement learning
Haitham Bou Ammar, Eric Eaton, Matthew E Taylor, Decebal Constantin Mocanu, Kurt Driessens, Gerhard Weiss, and Karl Tuyls · 2014
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Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, and Trevor Darrell · 2014
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Rich feature hierarchies for accurate object detection and semantic segmentation
Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik · 2014
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Learning and transferring mid-level image representations using convolutional neural networks
Maxime Oquab, Leon Bottou, Ivan Laptev, and Josef Sivic · 2014
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Cnn features off-the-shelf: an astounding baseline for recognition
Ali Sharif Razavian, Hossein Azizpour, Josephine Sullivan, and Stefan Carlsson · 2014
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Saihui Hou, Xu Liu, and Zilei Wang · 2017
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Ubernet: Training a universal convolutional neural network for low-, mid-, and high-level vision using diverse datasets and limited memory
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Hyperface: A deep multi-task learning framework for face detection, landmark localization, pose estimation, and gender recognition
Rajeev Ranjan, Vishal M Patel, and Rama Chellappa · 2017
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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 R Zamir, Alexander Sax, William Shen, Leonidas J Guibas, Jitendra Malik, and Silvio Savarese · 2018
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Task2vec: Task embedding for meta-learning
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Jason Yosinski, Jeff Clune, Yoshua Bengio, and Hod Lipson · 2014
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Matthew D Zeiler and Rob Fergus · 2014
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Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al · 2015
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Learning inter-task transferability in the absence of target task samples
Jivko Sinapov, Sanmit Narvekar, Matteo Leonetti, and Peter Stone · 2015
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Optimal transport for domain adaptation
Nicolas Courty, Rémi Flamary, Devis Tuia, and Alain Rakotomamonjy · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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An information-theoretic approach to transferability in task transfer learning
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Moment matching for multi-source domain adaptation
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Computational optimal transport: With applications to data science
Gabriel Peyré, Marco Cuturi, et al · 2019
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Meta-transfer learning for few-shot learning
Qianru Sun, Yaoyao Liu, Tat-Seng Chua, and Bernt Schiele · 2019
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Transferability and hardness of supervised classification tasks
Anh T Tran, Cuong V Nguyen, and Tal Hassner · 2019
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Geometric dataset distances via optimal transport
David Alvarez-Melis and Nicolò Fusi · 2020
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Knowledge transfer in vision recognition: A survey
Ying Lu, Lingkun Luo, Di Huang, Yunhong Wang, and Liming Chen · 2020
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Leep: A new measure to evaluate transferability of learned representations
Cuong V Nguyen, Tal Hassner, Cedric Archambeau, and Matthias Seeger · 2020
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