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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
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja, Aurick Zhou 외 2명
arXiv (Cornell University)
|
2018
|
3,481 회 인용
How transferable are features in deep neural networks?
Jason Yosinski, Jeff Clune 외 2명
arXiv (Cornell University)
|
2014
|
3,456 회 인용
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill, Florian Strub 외 12명
arXiv (Cornell University)
|
2020
|
3,436 회 인용
R-FCN: Object Detection via Region-based Fully Convolutional Networks
Jifeng Dai, Yi Li 외 2명
arXiv (Cornell University)
|
2016
|
3,435 회 인용
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho, Bart van Merriënboer 외 5명
arXiv (Cornell University)
|
2014
|
3,319 회 인용
Bidirectional LSTM-CRF Models for Sequence Tagging
Zhiheng Huang, Wei Xu
arXiv (Cornell University)
|
2015
|
3,279 회 인용
Character-level Convolutional Networks for Text Classification
Xiang Zhang, Junbo Zhao 외 1명
arXiv (Cornell University)
|
2015
|
3,267 회 인용
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie, Wenhai Wang 외 4명
arXiv (Cornell University)
|
2021
|
3,230 회 인용
Categorical Reparameterization with Gumbel-Softmax
Eric Jang, Shixiang Gu 외 1명
arXiv (Cornell University)
|
2016
|
3,222 회 인용
Gaussian Error Linear Units (GELUs)
Dan Hendrycks, Kevin Gimpel
arXiv (Cornell University)
|
2016
|
3,145 회 인용
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