Task Transferability
Task Transferability is a measure of the extent to which knowledge, representations, or model parameters learned from one task can be effectively applied to improve performance on another distinct but related task within the framework of multi-task learning.
75
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8.2K
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277
Authors
113
Institutions
Publications per year
2017–2026
45
Parents
75
How transferable are features in deep neural networks?
Jason Yosinski, Jeff Clune, Yoshua Bengio et al. · arXiv (Cornell University) · 2014 · 3.5K citations · Full text
Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency
Shuhuai Ren, Yihe Deng, Kun He et al. · 2019 · 661 citations · Full text
Working memory training involves learning new skills
Susan E. Gathercole, Darren Dunning, Joni Holmes et al. · Journal of Memory and Language · 2018 · 229 citations · Full text
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113
Tsinghua University
Beijing, China
5 h-index
21 publications
1.5K citations

University of Massachusetts Amherst
Amherst Center, United States
4 h-index
11 publications
1.2K citations
University of California, Berkeley
Berkeley, United States
3 h-index
10 publications
565 citations

Open University of the Netherlands
Heerlen, The Netherlands
3 h-index
6 publications
355 citations

Huazhong University of Science and Technology
Wuhan, China
2 h-index
4 publications
2K citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
2 publications
187 citations
The University of Texas at Austin
Austin, United States
2 h-index
5 publications
142 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
2 h-index
6 publications
254 citations
1–8 of 113
Repository · 13 publications · 3.9K citations
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HFES · 3 publications · 287 citations
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Conference · 3 publications · 138 citations
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Conference · 2 publications · 69 citations
2
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2 publications · 72 citations
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