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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
FCOS: Fully Convolutional One-Stage Object Detection
Zhi Tian, Chunhua Shen 외 2명
arXiv (Cornell University)
|
2019
|
799 회 인용
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Yaqing Wang, Quanming Yao 외 2명
arXiv (Cornell University)
|
2019
|
799 회 인용
MMDetection: Open MMLab Detection Toolbox and Benchmark
Kai Chen, Jiaqi Wang 외 23명
arXiv (Cornell University)
|
2019
|
794 회 인용
Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars
Luke Zettlemoyer, Michael J. Collins
arXiv (Cornell University)
|
2012
|
791 회 인용
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine, Aviral Kumar 외 2명
arXiv (Cornell University)
|
2020
|
791 회 인용
Gemini: A Family of Highly Capable Multimodal Models
Gemini Robotics Team, Rohan Anil 외 1349명
arXiv (Cornell University)
|
2023
|
790 회 인용
Density Estimation Using Real NVP
Laurent Dinh, Jascha Sohl‐Dickstein 외 1명
arXiv (Cornell University)
|
2016
|
788 회 인용
CTRL: A Conditional Transformer Language Model for Controllable Generation
Nitish Shirish Keskar, Bryan McCann 외 3명
arXiv (Cornell University)
|
2019
|
787 회 인용
Mixed membership stochastic blockmodels
Edoardo M. Airoldi, David M. Blei 외 2명
arXiv (Cornell University)
|
2007
|
786 회 인용
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Dan Hendrycks, Thomas G. Dietterich
arXiv (Cornell University)
|
2019
|
785 회 인용
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