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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
Sequential Neural Models with Stochastic Layers
M. Fraccaro, Søren Kaae Sønderby 외 2명
arXiv (Cornell University)
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2016
|
158 회 인용
Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models
Daniel Omeiza, Skyler Speakman 외 2명
arXiv (Cornell University)
|
2019
|
158 회 인용
Summarizing topical content with word frequency and exclusivity
Jonathan Bischof, Edoardo M. Airoldi
arXiv (Cornell University)
|
2012
|
158 회 인용
WAIC, but Why? Generative Ensembles for Robust Anomaly Detection
Hyunsun Choi, Eric Jang 외 1명
arXiv (Cornell University)
|
2018
|
158 회 인용
A Systematic Evaluation of Transient Execution Attacks and Defenses
Claudio Canella, Jo Van Bulck 외 7명
arXiv (Cornell University)
|
2018
|
157 회 인용
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy
Asit Mishra, Debbie Marr
arXiv (Cornell University)
|
2017
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157 회 인용
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
Nick Erickson, Jonas Mueller 외 5명
arXiv (Cornell University)
|
2020
|
157 회 인용
Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?
Nitin Bansal, Xiaohan Chen 외 1명
arXiv (Cornell University)
|
2018
|
157 회 인용
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
Maruan Al-Shedivat, Trapit Bansal 외 4명
arXiv (Cornell University)
|
2017
|
157 회 인용
Decentralized Privacy-Preserving Proximity Tracing
Carmela Troncoso, Mathias Payer 외 32명
arXiv (Cornell University)
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2020
|
157 회 인용
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