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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
Towards Optimal One Pass Large Scale Learning with Averaged Stochastic Gradient Descent
Wei Xu
arXiv (Cornell University)
|
2011
|
120 회 인용
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets
Penghang Yin, Jiancheng Lyu 외 4명
arXiv (Cornell University)
|
2019
|
120 회 인용
Women also Snowboard: Overcoming Bias in Captioning Models
Kaylee Burns, Lisa Anne Hendricks 외 3명
arXiv (Cornell University)
|
2018
|
120 회 인용
A Survey on Multi-View Clustering
Guoqing Chao, Shiliang Sun 외 1명
arXiv (Cornell University)
|
2017
|
119 회 인용
Adaptive Communication Strategies to Achieve the Best Error-Runtime Trade-off in Local-Update SGD
Jianyu Wang, Gauri Joshi
arXiv (Cornell University)
|
2018
|
119 회 인용
An Introduction to Autoencoders
Umberto Michelucci
arXiv (Cornell University)
|
2022
|
119 회 인용
Attention for Fine-Grained Categorization
Pierre Sermanet, Andrea Frome 외 1명
arXiv (Cornell University)
|
2014
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119 회 인용
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks
Jun Xiao, Hao Ye 외 4명
arXiv (Cornell University)
|
2017
|
119 회 인용
Bilinear CNN Models for Fine-grained Visual Recognition
Tsung‐Yu Lin, Aruni RoyChowdhury 외 1명
arXiv (Cornell University)
|
2015
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119 회 인용
Dilated Recurrent Neural Networks
Shiyu Chang, Yang Zhang 외 8명
arXiv (Cornell University)
|
2017
|
119 회 인용
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