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Computer Science 论文解读
Computer Science 领域重要论文的 AI 解读列表，按研究动机、方法与结果结构化呈现。
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Vision Transformer Adapter for Dense Predictions
Zhe Chen, Yuchen Duan, +5
arXiv (Cornell University)
|
2022
|
203 citations
Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks
Stefan Lee, Senthil Purushwalkam, +3
arXiv (Cornell University)
|
2015
|
203 citations
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions
Pengzhen Ren, Yun Xiao, +5
arXiv (Cornell University)
|
2020
|
202 citations
Beyond Part Models: Person Retrieval with Refined Part Pooling.
Yifan Sun, Liang Zheng, +3
arXiv (Cornell University)
|
2017
|
202 citations
Continual Learning with Deep Generative Replay
Hanul Shin, Jung Kwon Lee, +2
arXiv (Cornell University)
|
2017
|
202 citations
From the long jump random walk to the fractional Laplacian
Enrico Valdinoci
ArXiv.org
|
2009
|
202 citations
How Do Vision Transformers Work?
Namuk Park, Songkuk Kim
arXiv (Cornell University)
|
2022
|
202 citations
Measuring Praise and Criticism: Inference of Semantic Orientation from Association
Peter D. Turney, Michael L. Littman
ArXiv.org
|
2003
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202 citations
Optimizing the Latent Space of Generative Networks
Piotr Bojanowski, Armand Joulin, +2
arXiv (Cornell University)
|
2017
|
202 citations
Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking
Ergys Ristani, Francesco Solera, +3
arXiv (Cornell University)
|
2016
|
202 citations
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