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Computer Science 论文解读
Computer Science 领域重要论文的 AI 解读列表，按研究动机、方法与结果结构化呈现。
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Language Modeling with Gated Convolutional Networks
Yann Dauphin, Angela Fan, +2
arXiv (Cornell University)
|
2016
|
1,121 citations
EfficientNetV2: Smaller Models and Faster Training
Mingxing Tan, Quoc V. Le
arXiv (Cornell University)
|
2021
|
1,120 citations
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho, Bart van Merriënboer, +2
arXiv (Cornell University)
|
2014
|
1,116 citations
Ensemble Adversarial Training: Attacks and Defenses
Florian Tramèr, Alexey Kurakin, +4
arXiv (Cornell University)
|
2017
|
1,107 citations
Federated Learning for Mobile Keyboard Prediction
Andrew Hard, K. Praveen Kumar Rao, +7
arXiv (Cornell University)
|
2018
|
1,105 citations
Graph Convolutional Matrix Completion
Rianne van den Berg, Thomas Kipf, +1
arXiv (Cornell University)
|
2017
|
1,102 citations
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima, Shixiang Gu, +3
arXiv (Cornell University)
|
2022
|
1,101 citations
The Curious Case of Neural Text Degeneration
Ari Holtzman, Jan Buys, +3
arXiv (Cornell University)
|
2019
|
1,100 citations
Training Very Deep Networks
Rupesh K. Srivastava, Klaus Greff, +1
arXiv (Cornell University)
|
2015
|
1,100 citations
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
Emily Denton, Wojciech Zaremba, +3
arXiv (Cornell University)
|
2014
|
1,095 citations
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