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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
Differentiable Learning of Logical Rules for Knowledge Base Reasoning
Fan Yang, Zhilin Yang 외 1명
arXiv (Cornell University)
|
2017
|
173 회 인용
Efficient Graph Generation with Graph Recurrent Attention Networks
Renjie Liao, Yujia Li 외 7명
arXiv (Cornell University)
|
2019
|
173 회 인용
Gaussian states in continuous variable quantum information
Alessandro Ferraro, Stefano Olivares 외 1명
ArXiv.org
|
2005
|
173 회 인용
Incorporating BERT into Neural Machine Translation
Jinhua Zhu, Yingce Xia 외 6명
arXiv (Cornell University)
|
2020
|
173 회 인용
Omni-Dimensional Dynamic Convolution
Chao Li, Aojun Zhou 외 1명
arXiv (Cornell University)
|
2022
|
173 회 인용
Selective Classification for Deep Neural Networks
Yonatan Geifman, Ran El‐Yaniv
arXiv (Cornell University)
|
2017
|
173 회 인용
Spectrally-normalized margin bounds for neural networks
Peter L. Bartlett, Dylan J. Foster 외 1명
arXiv (Cornell University)
|
2017
|
173 회 인용
Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling
Hakan Inan, Khashayar Khosravi 외 1명
arXiv (Cornell University)
|
2016
|
173 회 인용
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations
David Krueger, Tegan Maharaj 외 8명
PolyPublie (École Polytechnique de Montréal)
|
2016
|
173 회 인용
A Dual Approach to Scalable Verification of Deep Networks
Krishnamurthy, Dvijotham 외 4명
arXiv (Cornell University)
|
2018
|
172 회 인용
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