Structured Prediction
Structured Prediction is a supervised learning framework that generalizes standard classification and regression by predicting structured outputs—such as sequences, trees, or graphs—rather than scalar labels, leveraging dependencies among output variables to achieve coherent joint predictions.
384
Publications
39.6K
Citations
848
Authors
295
Institutions
Publications per year
2017–2026
143
Parents
384
Categorical Reparameterization with Gumbel-Softmax
Eric Jang, Shixiang Gu, Ben Poole · arXiv (Cornell University) · 2016 · 3.2K citations · Full text
Shih-En Wei, Varun Ramakrishna, Takeo Kanade et al. · 2016 · 2.8K citations
Struck: Structured output tracking with kernels
Sam Hare, Amir Saffari, Philip H. S. Torr · 2011 · 1.8K citations
1–5 of 384
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295
Carnegie Mellon University
Pittsburgh, United States
24 h-index
70 publications
23.1K citations
Google (United States)
Mountain View, United States
17 h-index
47 publications
3.6K citations
Stanford University
Stanford, United States
15 h-index
38 publications
4.7K citations
ETH Zurich
Zurich, Switzerland
13 h-index
34 publications
3.1K citations
Toyota Technological Institute at Chicago
Chicago, United States
12 h-index
30 publications
1.7K citations
University of California, Berkeley
Berkeley, United States
10 h-index
20 publications
1.5K citations
University of Maryland, College Park
College Park, United States
10 h-index
20 publications
871 citations
University of Illinois Urbana-Champaign
Urbana, United States
10 h-index
25 publications
683 citations
1–8 of 295
Repository · 94 publications · 10.4K citations
37
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Conference · 11 publications · 645 citations
11
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Conference · 11 publications · 507 citations
11
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TPAMI · 8 publications · 1.4K citations
9
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6 publications · 168 citations
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