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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
Language Modeling with Gated Convolutional Networks
Yann Dauphin, Angela Fan 외 2명
arXiv (Cornell University)
|
2016
|
1,121 회 인용
EfficientNetV2: Smaller Models and Faster Training
Mingxing Tan, Quoc V. Le
arXiv (Cornell University)
|
2021
|
1,120 회 인용
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho, Bart van Merriënboer 외 2명
arXiv (Cornell University)
|
2014
|
1,116 회 인용
Ensemble Adversarial Training: Attacks and Defenses
Florian Tramèr, Alexey Kurakin 외 4명
arXiv (Cornell University)
|
2017
|
1,107 회 인용
Federated Learning for Mobile Keyboard Prediction
Andrew Hard, K. Praveen Kumar Rao 외 7명
arXiv (Cornell University)
|
2018
|
1,105 회 인용
Graph Convolutional Matrix Completion
Rianne van den Berg, Thomas Kipf 외 1명
arXiv (Cornell University)
|
2017
|
1,102 회 인용
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima, Shixiang Gu 외 3명
arXiv (Cornell University)
|
2022
|
1,101 회 인용
The Curious Case of Neural Text Degeneration
Ari Holtzman, Jan Buys 외 3명
arXiv (Cornell University)
|
2019
|
1,100 회 인용
Training Very Deep Networks
Rupesh K. Srivastava, Klaus Greff 외 1명
arXiv (Cornell University)
|
2015
|
1,100 회 인용
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
Emily Denton, Wojciech Zaremba 외 3명
arXiv (Cornell University)
|
2014
|
1,095 회 인용
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