Safe Transfer Learning
Safe Transfer Learning is a transfer learning methodology that ensures the reliable and risk-minimized adaptation of knowledge from a source domain to a target domain while preserving safety constraints throughout the learning and deployment process.
4
Publications
278
Citations
18
Authors
9
Institutions
Publications per year
2017–2026
2
Parents
4
Bin Cao, Sinno Jialin Pan, Yu Zhang et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2010 · 141 citations · Full text
1–5 of 4
18
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Hong Kong University of Science and Technology, Hong Kong SAR China
1 publications · 141 citations
1
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1
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1–5 of 18
9

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
1 h-index
5 publications
705 citations

Queens College, CUNY
New York, United States
1 h-index
1 publications
10 citations

Marymount California University
Rancho Palos Verdes, United States
1 h-index
1 publications
10 citations

University of Ottawa
Ottawa, Canada
1 h-index
1 publications
24 citations
Tsinghua University
Beijing, China
1 h-index
5 publications
515 citations
University of Luxembourg
Luxembourg, Luxembourg
1 h-index
4 publications
96 citations

The Graduate Center, CUNY
New York, United States
1 h-index
1 publications
10 citations
Lehman College
New York, United States
1 h-index
1 publications
10 citations
1–8 of 9
Conference · 1 publications · 141 citations
1
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Conference · 1 publications · 103 citations
1
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1 publications · 10 citations
1
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TOSEM · 1 publications · 24 citations
1
h-index
1 publications · 11 citations
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