Pairwise Loss
Pairwise Loss is a type of loss function in machine learning that quantifies the discrepancy between ordered pairs of predictions by penalizing inversions in relative ranking, thereby optimizing models for tasks involving pairwise comparison or preference learning.
144
Publications
9.5K
Citations
502
Authors
194
Institutions
Publications per year
2017–2026
108
Parents
144
Circle Loss: A Unified Perspective of Pair Similarity Optimization
Yifan Sun, Changmao Cheng, Yuhan Zhang et al. · 2020 · 921 citations
Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning
Xun Wang, Xintong Han, Weilin Huang et al. · 2019 · 823 citations
Sigmoid Loss for Language Image Pre-Training
Xiaohua Zhai, Basil Mustafa, Lucas Beyer · 2023 · 634 citations
End-to-End Neural Ad-hoc Ranking with Kernel Pooling
Chenyan Xiong, Zhuyun Dai, Jamie Callan et al. · 2017 · 572 citations · Full text
Deep Cauchy Hashing for Hamming Space Retrieval
Yue Cao, Mingsheng Long, Bin Liu et al. · 2018 · 389 citations
1–5 of 144
502
University at Albany, State University of New York, United States
4 publications · 90 citations
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3
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3
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University of Electronic Science and Technology of China, China
2 publications · 111 citations
2
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2
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1–5 of 502
194

Chinese Academy of Sciences
Beijing, China
10 h-index
22 publications
649 citations
Tsinghua University
Beijing, China
9 h-index
19 publications
2.4K citations
University of Chinese Academy of Sciences
Beijing, China
7 h-index
13 publications
309 citations

Beihang University
Beijing, China
6 h-index
13 publications
1.7K citations
University at Albany, State University of New York
Albany, United States
4 h-index
5 publications
102 citations

City University of Hong Kong
Hong Kong, Hong Kong
4 h-index
7 publications
155 citations
University of Science and Technology of China
Hefei, China
4 h-index
8 publications
1.1K citations

University of Electronic Science and Technology of China
Chengdu, China
4 h-index
11 publications
869 citations
1–8 of 194
Repository · 16 publications · 447 citations
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TPAMI · 4 publications · 177 citations
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4 publications · 66 citations
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Conference · 4 publications · 178 citations
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4 publications · 349 citations
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