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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
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach, Andreas Blattmann 외 3명
arXiv (Cornell University)
|
2021
|
701 회 인용
Multiple Object Recognition with Visual Attention
Jimmy Ba, Volodymyr Mnih 외 1명
arXiv (Cornell University)
|
2014
|
701 회 인용
Feasible Entanglement Purification for Quantum Communication
Jian-Wei Pan, Christoph Simon 외 2명
arXiv (Cornell University)
|
2000
|
700 회 인용
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
William Fedus, Barret Zoph 외 1명
arXiv (Cornell University)
|
2021
|
700 회 인용
How To Backdoor Federated Learning
Eugene Bagdasaryan, Andreas Veit 외 3명
arXiv (Cornell University)
|
2018
|
699 회 인용
Physical Layer Network Coding
Shengli Zhang, Soung Chang Liew 외 1명
ArXiv.org
|
2007
|
699 회 인용
A Recurrent Latent Variable Model for Sequential Data
Jun‐Young Chung, Kyle Kastner 외 4명
arXiv (Cornell University)
|
2015
|
696 회 인용
Adversarially Learned Inference
Vincent Dumoulin, Ishmael Belghazi 외 5명
arXiv (Cornell University)
|
2016
|
692 회 인용
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation
Judy Hoffman, Dequan Wang 외 2명
arXiv (Cornell University)
|
2016
|
692 회 인용
GNNExplainer: Generating Explanations for Graph Neural Networks
Rex Ying, Dylan Bourgeois 외 3명
arXiv (Cornell University)
|
2019
|
692 회 인용
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