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