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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
Model-Agnostic Interpretability of Machine Learning
Marco Túlio Ribeiro, Sameer Singh 외 1명
arXiv (Cornell University)
|
2016
|
692 회 인용
End-To-End Memory Networks
Sainbayar Sukhbaatar, Arthur Szlam 외 2명
arXiv (Cornell University)
|
2015
|
689 회 인용
Finding Deceptive Opinion Spam by Any Stretch of the Imagination
Myle Ott, Yejin Choi 외 2명
arXiv (Cornell University)
|
2011
|
687 회 인용
Deep Recurrent Q-Learning for Partially Observable MDPs
Matthew Hausknecht, Peter Stone
arXiv (Cornell University)
|
2015
|
686 회 인용
Pruning Filters for Efficient ConvNets
Hao Li, Asim Kadav 외 3명
arXiv (Cornell University)
|
2016
|
685 회 인용
Synthesizing Robust Adversarial Examples
Anish Athalye, Logan Engstrom 외 2명
arXiv (Cornell University)
|
2017
|
684 회 인용
Active Learning for Convolutional Neural Networks: A Core-Set Approach
Ozan Şener, Silvio Savarese
arXiv (Cornell University)
|
2017
|
683 회 인용
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications
Yong‐Deok Kim, Eunhyeok Park 외 4명
arXiv (Cornell University)
|
2015
|
681 회 인용
CNN Features off-the-shelf: an Astounding Baseline for Recognition
Ali Sharif Razavian, Hossein Azizpour 외 2명
arXiv (Cornell University)
|
2014
|
679 회 인용
Once-for-All: Train One Network and Specialize it for Efficient Deployment
Han Cai, Chuang Gan 외 3명
arXiv (Cornell University)
|
2019
|
679 회 인용
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