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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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Persona-Driven Benchmarking for Generalizable and Human-Aware Artificial General Intelligence
Shunyu Yao, Jeffrey Zhao, +5
arXiv (Cornell University)
|
2022
|
518 citations
Differentially Private Federated Learning: A Client Level Perspective
R. Geyer, Tassilo J. Klein, +1
arXiv (Cornell University)
|
2017
|
517 citations
DropBlock: A regularization method for convolutional networks
Golnaz Ghiasi, Tsung-Yi Lin, +1
arXiv (Cornell University)
|
2018
|
517 citations
Federated Learning with Personalization Layers
Manoj Ghuhan Arivazhagan, Vinay K. Aggarwal, +2
arXiv (Cornell University)
|
2019
|
517 citations
Unsupervised Image-to-Image Translation Networks
Ming-Yu Liu, Thomas M. Breuel, +1
arXiv (Cornell University)
|
2017
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517 citations
Learning to Diagnose with LSTM Recurrent Neural Networks
Zachary C. Lipton, David C. Kale, +2
arXiv (Cornell University)
|
2015
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516 citations
OCNet: Object Context Network for Scene Parsing
Yuhui Yuan, Jingdong Wang, +4
arXiv (Cornell University)
|
2018
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516 citations
The Bayesian Structural EM Algorithm
Nir Friedman
arXiv (Cornell University)
|
2013
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516 citations
CoCa: Contrastive Captioners are Image-Text Foundation Models
Jiahui Yu, Zirui Wang, +4
arXiv (Cornell University)
|
2022
|
515 citations
Training Convolutional Networks with Noisy Labels
Sainbayar Sukhbaatar, Joan Bruna, +3
arXiv (Cornell University)
|
2014
|
515 citations
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