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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
Adversarial Machine Learning at Scale
Alexey Kurakin, Ian Goodfellow 외 1명
arXiv (Cornell University)
|
2016
|
375 회 인용
Experience Replay for Continual Learning
David Rolnick, Arun Ahuja 외 3명
arXiv (Cornell University)
|
2018
|
375 회 인용
On the (Statistical) Detection of Adversarial Examples
Kathrin Grosse, Praveen Manoharan 외 3명
arXiv (Cornell University)
|
2017
|
375 회 인용
Self-Attention Graph Pooling
Junhyun Lee, Inyeop Lee 외 1명
arXiv (Cornell University)
|
2019
|
375 회 인용
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review
Sergey Levine
ArXiv.org
|
2018
|
374 회 인용
Discriminative Embeddings of Latent Variable Models for Structured Data
Hanjun Dai, Bo Dai 외 1명
arXiv (Cornell University)
|
2016
|
373 회 인용
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis
Amir Shahroudy, Jun Liu 외 2명
arXiv (Cornell University)
|
2016
|
373 회 인용
A Tutorial on Bayesian Optimization
Peter I. Frazier
arXiv (Cornell University)
|
2018
|
372 회 인용
Deep, Convolutional, and Recurrent Models for Human Activity Recognition using Wearables
Nils Hammerla, Shane Halloran 외 1명
arXiv (Cornell University)
|
2016
|
372 회 인용
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation
Bharath Bhushan Damodaran, Benjamin Kellenberger 외 3명
arXiv (Cornell University)
|
2018
|
372 회 인용
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