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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
Visualizing and Understanding Neural Models in NLP
Jiwei Li, Xinlei Chen 외 2명
arXiv (Cornell University)
|
2015
|
166 회 인용
Active Internet Traffic Filtering: Real-time Response to Denial of Service Attacks
Katerina Argyraki, David R. Cheriton
arXiv (Cornell University)
|
2003
|
165 회 인용
Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning
Xue Bin Peng, Aviral Kumar 외 2명
arXiv (Cornell University)
|
2019
|
165 회 인용
Application Management in Fog Computing Environments: A Taxonomy, Review and Future Directions
Redowan Mahmud, Kotagiri Ramamohanarao 외 1명
arXiv (Cornell University)
|
2020
|
165 회 인용
Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning
Oron Anschel, Nir Baram 외 1명
arXiv (Cornell University)
|
2016
|
165 회 인용
Deep Image Homography Estimation
Daniel DeTone, Tomasz Malisiewicz 외 1명
arXiv (Cornell University)
|
2016
|
165 회 인용
Houdini: Fooling Deep Structured Prediction Models
Moustapha Cissé, Yossi Adi 외 2명
arXiv (Cornell University)
|
2017
|
165 회 인용
Learning a Rotation Invariant Detector with Rotatable Bounding Box
Lei Liu, Zongxu Pan 외 1명
arXiv (Cornell University)
|
2017
|
165 회 인용
Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders
Tiancheng Zhao, Ran Zhao 외 1명
arXiv (Cornell University)
|
2017
|
165 회 인용
Measuring Semantic Similarity by Latent Relational Analysis
Peter D. Turney
ArXiv.org
|
2005
|
165 회 인용
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