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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
Multilingual is not enough: BERT for Finnish
Antti Virtanen, Jenna Kanerva 외 6명
arXiv (Cornell University)
|
2019
|
121 회 인용
Neural Additive Models: Interpretable Machine Learning with Neural Nets
Rishabh Agarwal, Melnick, Levi 외 5명
arXiv (Cornell University)
|
2020
|
121 회 인용
Optimal approximation of continuous functions by very deep ReLU networks
Dmitry Yarotsky
arXiv (Cornell University)
|
2018
|
121 회 인용
Quantum Information Processing with Finite Resources -- Mathematical Foundations
Marco Tomamichel
2015
|
121 회 인용
Random Feature Maps for Dot Product Kernels
Purushottam Kar, Harish Karnick
arXiv (Cornell University)
|
2012
|
121 회 인용
Revisiting Natural Gradient for Deep Networks
Razvan Pascanu, Yoshua Bengio
arXiv (Cornell University)
|
2013
|
121 회 인용
Variational Federated Multi-Task Learning
Luca Corinzia, Joachim M. Buhmann 외 1명
arXiv (Cornell University)
|
2019
|
121 회 인용
A Brief History of the Internet
Barry M. Leiner, Vinton G. Cerf 외 7명
ArXiv.org
|
1999
|
120 회 인용
A Riemannian Network for SPD Matrix Learning
Zhiwu Huang, Luc Van Gool
arXiv (Cornell University)
|
2016
|
120 회 인용
Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks
Yuhang Li, Xin Dong 외 1명
arXiv (Cornell University)
|
2019
|
120 회 인용
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