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