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Computer Science 논문 리뷰
Computer Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
Vision Transformer Adapter for Dense Predictions
Zhe Chen, Yuchen Duan 외 5명
arXiv (Cornell University)
|
2022
|
203 회 인용
Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks
Stefan Lee, Senthil Purushwalkam 외 3명
arXiv (Cornell University)
|
2015
|
203 회 인용
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions
Pengzhen Ren, Yun Xiao 외 5명
arXiv (Cornell University)
|
2020
|
202 회 인용
Beyond Part Models: Person Retrieval with Refined Part Pooling.
Yifan Sun, Liang Zheng 외 3명
arXiv (Cornell University)
|
2017
|
202 회 인용
Continual Learning with Deep Generative Replay
Hanul Shin, Jung Kwon Lee 외 2명
arXiv (Cornell University)
|
2017
|
202 회 인용
From the long jump random walk to the fractional Laplacian
Enrico Valdinoci
ArXiv.org
|
2009
|
202 회 인용
How Do Vision Transformers Work?
Namuk Park, Songkuk Kim
arXiv (Cornell University)
|
2022
|
202 회 인용
Measuring Praise and Criticism: Inference of Semantic Orientation from Association
Peter D. Turney, Michael L. Littman
ArXiv.org
|
2003
|
202 회 인용
Optimizing the Latent Space of Generative Networks
Piotr Bojanowski, Armand Joulin 외 2명
arXiv (Cornell University)
|
2017
|
202 회 인용
Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking
Ergys Ristani, Francesco Solera 외 3명
arXiv (Cornell University)
|
2016
|
202 회 인용
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