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