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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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Do Deep Nets Really Need to be Deep?
Jimmy Ba, Rich Caruana
arXiv (Cornell University)
|
2013
|
1,480 citations
Scaling Laws for Neural Language Models
Jared Kaplan, Sam McCandlish, +8
arXiv (Cornell University)
|
2020
|
1,478 citations
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
Zhilu Zhang, Mert R. Sabuncu
PubMed
|
2018
|
1,474 citations
Understanding Neural Networks Through Deep Visualization
Jason Yosinski, Jeff Clune, +3
arXiv (Cornell University)
|
2015
|
1,469 citations
A Structured Self-attentive Sentence Embedding
Zhouhan Lin, Minwei Feng, +5
arXiv (Cornell University)
|
2017
|
1,463 citations
Loopy Belief Propagation for Approximate Inference: An Empirical Study
Kevin P. Murphy, Yair Weiss, +1
arXiv (Cornell University)
|
2013
|
1,459 citations
Expectation Propagation for approximate Bayesian inference
Thomas P. Minka
arXiv (Cornell University)
|
2013
|
1,457 citations
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou, Ganqu Cui, +7
arXiv (Cornell University)
|
2018
|
1,451 citations
MLP-Mixer: An all-MLP Architecture for Vision
Ilya Tolstikhin, Neil Houlsby, +10
arXiv (Cornell University)
|
2021
|
1,444 citations
Exploiting Similarities among Languages for Machine Translation
Tomáš Mikolov, Quoc V. Le, +1
arXiv (Cornell University)
|
2013
|
1,438 citations
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