Sequence Modeling
Sequence Modeling is a computational framework within the broader class of predictive modeling techniques that uniquely captures temporal or sequential dependencies in ordered data by leveraging the dynamic relationships between elements in a sequence.
460
Publications
42.2K
Citations
1.6K
Authors
515
Institutions
Publications per year
2017–2026
313
460
Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning
Piyush Sharma, Nan Ding, Sebastian Goodman et al. · 2018 · 1.8K citations · Full text
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Stanford University
Stanford, United States
12 h-index
49 publications
9.3K citations

Shanghai Jiao Tong University
Shanghai, China
11 h-index
35 publications
1.2K citations
Google (United States)
Mountain View, United States
9 h-index
24 publications
9.9K citations
Carnegie Mellon University
Pittsburgh, United States
9 h-index
30 publications
1.4K citations
Tsinghua University
Beijing, China
8 h-index
28 publications
1.4K citations
University of California, Berkeley
Berkeley, United States
7 h-index
12 publications
1.1K citations
Columbia University
New York, United States
7 h-index
10 publications
1K citations

Chinese Academy of Sciences
Beijing, China
7 h-index
21 publications
2K citations
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Repository · 84 publications · 11.1K citations
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10 publications · 514 citations
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Conference · 7 publications · 327 citations
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5 publications · 233 citations
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5 publications · 251 citations
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