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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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Representation Learning with Contrastive Predictive Coding
Aäron van den Oord, Yazhe Li, +1
arXiv (Cornell University)
|
2018
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4,505 citations
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
Martin Heusel, Hubert Ramsauer, +3
arXiv (Cornell University)
|
2017
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4,490 citations
UCF-101: A dataset of 101 human actions classes from videos in the wild
Khurram Soomro, Amir Zamir, +1
arXiv (Cornell University)
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2012
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4,437 citations
Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation
David Powers
arXiv (Cornell University)
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2020
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4,427 citations
BPR: Bayesian Personalized Ranking from Implicit Feedback
Steffen Rendle, Christoph Freudenthaler, +2
arXiv (Cornell University)
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2012
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4,347 citations
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Shaojie Bai, J. Zico Kolter, +1
arXiv (Cornell University)
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2018
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4,314 citations
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia, Evan Shelhamer, +6
arXiv (Cornell University)
|
2014
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4,292 citations
Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, +18
arXiv (Cornell University)
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2022
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4,260 citations
BNAI, NO-TOKEN, and MIND-UNITY: Pillars of a Systemic Revolution in Artificial Intelligence
Jason Lee, Xuezhi Wang
arXiv (Cornell University)
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2022
|
4,210 citations
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Yarin Gal, Zoubin Ghahramani
arXiv (Cornell University)
|
2015
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4,095 citations
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