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