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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
Efficient Lifelong Learning with A-GEM
Arslan Chaudhry, Marc’Aurelio Ranzato 외 2명
arXiv (Cornell University)
|
2018
|
576 회 인용
Interaction Networks for Learning about Objects, Relations and Physics
Peter Battaglia, Razvan Pascanu 외 3명
arXiv (Cornell University)
|
2016
|
576 회 인용
TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation
Vladimir Iglovikov, Alexey A. Shvets
arXiv (Cornell University)
|
2018
|
576 회 인용
VisDA: The Visual Domain Adaptation Challenge
Xingchao Peng, Ben Usman 외 4명
arXiv (Cornell University)
|
2017
|
575 회 인용
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
Sebastian Raschka
arXiv (Cornell University)
|
2018
|
574 회 인용
Stochastic Pooling for Regularization of Deep Convolutional Neural Networks
Matthew D. Zeiler, Rob Fergus
arXiv (Cornell University)
|
2013
|
573 회 인용
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
Jianyu Wang, Qinghua Liu 외 3명
arXiv (Cornell University)
|
2020
|
572 회 인용
Tunability: Importance of Hyperparameters of Machine Learning Algorithms
Philipp Probst, Bernd Bischl 외 1명
arXiv (Cornell University)
|
2018
|
572 회 인용
Contrastive Multiview Coding
Yonglong Tian, Dilip Krishnan 외 1명
arXiv (Cornell University)
|
2019
|
571 회 인용
Exposing DeepFake Videos By Detecting Face Warping Artifacts
Yuezun Li, Siwei Lyu
arXiv (Cornell University)
|
2018
|
571 회 인용
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