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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
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
Shiyu Liang, Yixuan Li 외 1명
arXiv (Cornell University)
|
2017
|
648 회 인용
Reptile: a Scalable Metalearning Algorithm
Alex Nichol, John Schulman
arXiv (Cornell University)
|
2018
|
646 회 인용
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
Rosanne Liu, Joel Lehman 외 5명
arXiv (Cornell University)
|
2018
|
645 회 인용
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
Yujun Lin, Song Han 외 3명
arXiv (Cornell University)
|
2017
|
645 회 인용
PathNet: Evolution Channels Gradient Descent in Super Neural Networks
Chrisantha Fernando, Dylan Banarse 외 6명
arXiv (Cornell University)
|
2017
|
643 회 인용
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
Harry Chia-Hung Hsu, Hang Qi 외 1명
arXiv (Cornell University)
|
2019
|
640 회 인용
The CMA Evolution Strategy: A Tutorial
Nikolaus Hansen
arXiv (Cornell University)
|
2016
|
640 회 인용
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
Jie Chen, Tengfei Ma 외 1명
arXiv (Cornell University)
|
2018
|
639 회 인용
TMVA - Toolkit for Multivariate Data Analysis
A. Höcker, P. Speckmayer 외 25명
arXiv (Cornell University)
|
2007
|
637 회 인용
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin, Botond Cseke 외 1명
arXiv (Cornell University)
|
2016
|
636 회 인용
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