Adaptation Performance Metrics is a formal evaluation framework that quantifies the effectiveness, efficiency, and robustness of adaptive systems or strategies in achieving intended outcomes within dynamic environments.
58
Publications
2.4K
Citations
178
Authors
76
Institutions
Publications per year
2017–2026
19
Parents
Publications
58
Adversarial Multiple Source Domain Adaptation
Han Zhao, Shanghang Zhang, Guanhang Wu et al. · Neural Information Processing Systems · 2018 · 333 citations
Exploring Visual Prompts for Adapting Large-Scale Models
Hyojin Bahng, Ali Jahanian, Swami Sankaranarayanan et al. · arXiv (Cornell University) · 2022 · 106 citations · Full text
1–5 of 58
Authors
178
- JY
2
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- TG
2
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- DG
2
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- DW
2
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- YL
2
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1–5 of 178
Institutions
76
Carnegie Mellon University
Pittsburgh, United States
3 h-index
12 publications
2.2K citations
George Mason University
Fairfax, United States
2 h-index
2 publications
109 citations
Linnaeus University
Vaxjo, Sweden
2 h-index
6 publications
327 citations
Columbia University
New York, United States
2 h-index
3 publications
123 citations
Arizona State University
Tempe, United States
2 h-index
3 publications
71 citations
University of Milano-Bicocca
Milan, Italy
2 h-index
4 publications
98 citations
St. Mary Mercy Livonia
Livonia, United States
1 h-index
1 publications
32 citations
Lund University
Lund, Sweden
1 h-index
2 publications
22 citations
1–8 of 76
Venues
- arXiv (Cornell University)
Repository · 5 publications · 259 citations
5
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- The Journal of the Acoustical Society of America
JASA · 1 publications · 25 citations
1
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- International Journal of Systems and Service-Oriented Engineering
IJSSOE · 1 publications · 13 citations
1
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- Network Protocols and Algorithms
1 publications · 11 citations
1
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- Mitigation and Adaptation Strategies for Global Change
1 publications · 217 citations
1
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