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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
Implementation of Training Convolutional Neural Networks
Tianyi Liu, Shuangsang Fang 외 3명
arXiv (Cornell University)
|
2015
|
125 회 인용
Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN
Shuai Li, Wanqing Li 외 3명
arXiv (Cornell University)
|
2018
|
125 회 인용
Learning Bayesian Networks: A Unification for Discrete and Gaussian Domains
David Heckerman, Dan Geiger
arXiv (Cornell University)
|
2013
|
125 회 인용
Normalized Loss Functions for Deep Learning with Noisy Labels
Xingjun Ma, Hanxun Huang 외 4명
arXiv (Cornell University)
|
2020
|
125 회 인용
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions
Rui Wang, Joel Lehman 외 2명
arXiv (Cornell University)
|
2019
|
125 회 인용
PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search.
Yuhui Xu, Lingxi Xie 외 5명
arXiv (Cornell University)
|
2019
|
125 회 인용
Post-training 4-bit quantization of convolution networks for rapid-deployment
Ron Banner, Yury Nahshan 외 2명
arXiv (Cornell University)
|
2018
|
125 회 인용
Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (1994)
Ramón López de Mántaras, David Poole
arXiv (Cornell University)
|
2013
|
125 회 인용
Representing Long-Range Context for Graph Neural Networks with Global Attention
Zhanghao Wu, Paras Jain 외 4명
arXiv (Cornell University)
|
2022
|
125 회 인용
Transfer learning for music classification and regression tasks
Keunwoo Choi, György Fazekas 외 2명
arXiv (Cornell University)
|
2017
|
125 회 인용
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