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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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Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu, Yandong Wen, +2
arXiv (Cornell University)
|
2016
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432 citations
Neural Architecture Optimization
Renqian Luo, Fei Tian, +3
arXiv (Cornell University)
|
2018
|
431 citations
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Johannes Gasteiger, Aleksandar Bojchevski, +1
arXiv (Cornell University)
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2018
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431 citations
Similarity of Neural Network Representations Revisited
Simon Kornblith, Mohammad Norouzi, +2
arXiv (Cornell University)
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2019
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431 citations
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Tong Zhan, Yibing Song, +2
arXiv (Cornell University)
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2022
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431 citations
Visualizing Deep Neural Network Decisions: Prediction Difference Analysis
Luisa Zintgraf, Taco Cohen, +2
arXiv (Cornell University)
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2017
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431 citations
Deep Continuous Fusion for Multi-Sensor 3D Object Detection
Ming Liang, Bin Yang, +2
arXiv (Cornell University)
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2020
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430 citations
Energy-based Out-of-distribution Detection
Weitang Liu, Xiaoyun Wang, +2
arXiv (Cornell University)
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2020
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430 citations
Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (2001)
Jack Breese, Daphne Koller
arXiv (Cornell University)
|
2013
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430 citations
Underspecification Presents Challenges for Credibility in Modern Machine Learning
Alexander D’Amour, Katherine Heller, +38
arXiv (Cornell University)
|
2020
|
430 citations
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