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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
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Zhenzhong Lan, Mingda Chen 외 4명
arXiv (Cornell University)
|
2019
|
4,061 회 인용
Neural Architecture Search with Reinforcement Learning
Barret Zoph, Quoc V. Le
arXiv (Cornell University)
|
2016
|
3,860 회 인용
LLaMA: Open and Efficient Foundation Language Models
Hugo Touvron, Thibaut Lavril 외 12명
arXiv (Cornell University)
|
2023
|
3,849 회 인용
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
Jieneng Chen, Yongyi Lu 외 7명
arXiv (Cornell University)
|
2021
|
3,794 회 인용
On the difficulty of training Recurrent Neural Networks
Razvan Pascanu, Tomáš Mikolov 외 1명
arXiv (Cornell University)
|
2012
|
3,783 회 인용
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Liang-Chieh Chen, George Papandreou 외 3명
arXiv (Cornell University)
|
2014
|
3,623 회 인용
WaveNet: A Generative Model for Raw Audio
Aäron van den Oord, Sander Dieleman 외 7명
arXiv (Cornell University)
|
2016
|
3,585 회 인용
A Quantitative Measure Of Fairness And Discrimination For Resource Allocation In Shared Computer Systems
Rishabh Jain, Dah Ming Chiu 외 1명
ArXiv.org
|
1998
|
3,564 회 인용
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue, Yangqing Jia 외 5명
arXiv (Cornell University)
|
2013
|
3,560 회 인용
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han, Huizi Mao 외 1명
arXiv (Cornell University)
|
2015
|
3,526 회 인용
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