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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
A Critical Review of Recurrent Neural Networks for Sequence Learning
Zachary C. Lipton, John Berkowitz 외 1명
arXiv (Cornell University)
|
2015
|
2,087 회 인용
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
Alexis Conneau, Douwe Kiela 외 3명
arXiv (Cornell University)
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2017
|
2,056 회 인용
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
Bishan Yang, Wen-tau Yih 외 3명
arXiv (Cornell University)
|
2014
|
2,032 회 인용
FitNets: Hints for Thin Deep Nets
Adriana Romero, Nicolas Ballas 외 4명
arXiv (Cornell University)
|
2014
|
2,032 회 인용
BERTScore: Evaluating Text Generation with BERT
Tianyi Zhang, Varsha Kishore 외 3명
arXiv (Cornell University)
|
2019
|
2,019 회 인용
Gene Expression Programming: a New Adaptive Algorithm for Solving Problems
Cândida Ferreira
ArXiv.org
|
2001
|
2,016 회 인용
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Yoshua Bengio, Nicholas Léonard 외 1명
arXiv (Cornell University)
|
2013
|
2,001 회 인용
NLTK: The Natural Language Toolkit
Edward Loper, Steven Bird
ArXiv.org
|
2002
|
1,938 회 인용
Soft Actor-Critic Algorithms and Applications
Tuomas Haarnoja, Aurick Zhou 외 9명
arXiv (Cornell University)
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2018
|
1,935 회 인용
Wide Residual Networks
Sergey Zagoruyko, Nikos Komodakis
arXiv (Cornell University)
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2016
|
1,927 회 인용
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