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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
Distilling a Neural Network Into a Soft Decision Tree
Nicholas Frosst, Geoffrey E. Hinton
arXiv (Cornell University)
|
2017
|
266 회 인용
Distributional Smoothing with Virtual Adversarial Training
Takeru Miyato, Shin‐ichi Maeda 외 3명
arXiv (Cornell University)
|
2016
|
266 회 인용
Document Embedding with Paragraph Vectors
Andrew M. Dai, Christopher Olah 외 1명
arXiv (Cornell University)
|
2015
|
266 회 인용
Extremal Mechanisms for Local Differential Privacy
Peter Kairouz, Sewoong Oh 외 1명
arXiv (Cornell University)
|
2014
|
266 회 인용
Toward Multilingual Neural Machine Translation with Universal Encoder and Decoder
Thanh-Le Ha, Jan Niehues 외 1명
arXiv (Cornell University)
|
2016
|
266 회 인용
Unsupervised Learning for Physical Interaction through Video Prediction
Chelsea Finn, Ian Goodfellow 외 1명
arXiv (Cornell University)
|
2016
|
266 회 인용
Adding Gradient Noise Improves Learning for Very Deep Networks
Arvind Neelakantan, Luke Vilnis 외 5명
arXiv (Cornell University)
|
2015
|
265 회 인용
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs
Jiong Zhu, Yujun Yan 외 4명
arXiv (Cornell University)
|
2020
|
265 회 인용
Data-Efficient Hierarchical Reinforcement Learning
Ofir Nachum, Shixiang Gu 외 2명
arXiv (Cornell University)
|
2018
|
265 회 인용
Deep Reinforcement Learning in Large Discrete Action Spaces
Gabriel Dulac-Arnold, Evans, Richard 외 8명
arXiv (Cornell University)
|
2015
|
265 회 인용
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