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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
Diffusion-Convolutional Neural Networks
James Atwood, Don Towsley
arXiv (Cornell University)
|
2015
|
493 회 인용
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey
Arun Das, Paul Rad
arXiv (Cornell University)
|
2020
|
492 회 인용
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
Özgün Çiçek, Ahmed Abdulkadir 외 3명
arXiv (Cornell University)
|
2016
|
491 회 인용
Bayesian Active Learning for Classification and Preference Learning
Neil Houlsby, Ferenc Huszár 외 2명
arXiv (Cornell University)
|
2011
|
491 회 인용
Mish: A Self Regularized Non-Monotonic Neural Activation Function
Diganta Misra
arXiv (Cornell University)
|
2019
|
491 회 인용
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu, Matthias Fey 외 6명
arXiv (Cornell University)
|
2020
|
491 회 인용
BinaryNet: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
Matthieu Courbariaux, Yoshua Bengio
arXiv (Cornell University)
|
2016
|
490 회 인용
DeepFakes: a New Threat to Face Recognition? Assessment and Detection
Pavel Korshunov, Sébastien Marcel
arXiv (Cornell University)
|
2018
|
490 회 인용
R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection
Yingying Jiang, Xiangyu Zhu 외 6명
arXiv (Cornell University)
|
2017
|
490 회 인용
Semi-supervised Sequence Learning
Andrew M. Dai, Quoc V. Le
arXiv (Cornell University)
|
2015
|
490 회 인용
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