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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
An Introduction to Probabilistic Programming
Staton, Sam
arXiv (Cornell University)
|
2018
|
110 회 인용
Are All Layers Created Equal?
Chiyuan Zhang, Samy Bengio 외 1명
arXiv (Cornell University)
|
2019
|
110 회 인용
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
Hongyi Wang, Kartik K. Sreenivasan 외 6명
arXiv (Cornell University)
|
2020
|
110 회 인용
Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study
Wouter Bulten, Hans Pinckaers 외 7명
arXiv (Cornell University)
|
2020
|
110 회 인용
Automated Fault Localization Using Potential Invariants
Brock Pytlik, Manos Renieris 외 2명
ArXiv.org
|
2003
|
110 회 인용
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi, Paolo Frasconi 외 3명
arXiv (Cornell University)
|
2018
|
110 회 인용
Comprehensive Privacy Analysis of Deep Learning: Stand-alone and Federated Learning under Passive and Active White-box Inference Attacks.
Milad Nasr, Reza Shokri 외 1명
arXiv (Cornell University)
|
2018
|
110 회 인용
Deep Neural Networks for Survival Analysis Based on a Multi-Task Framework
Stephane Fotso
arXiv (Cornell University)
|
2018
|
110 회 인용
Deep Reinforcement Learning and the Deadly Triad
Hado van Hasselt, Yotam Doron 외 4명
arXiv (Cornell University)
|
2018
|
110 회 인용
Deeper and Wider Siamese Networks for Real-Time Visual Tracking
Zhipeng Zhang, Houwen Peng
arXiv (Cornell University)
|
2019
|
110 회 인용
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