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