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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
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization
Shai Shalev‐Shwartz, Tong Zhang
arXiv (Cornell University)
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2012
|
253 회 인용
An Autoencoder Approach to Learning Bilingual Word Representations
Sarath Chandar A P, Stanislas Lauly 외 5명
arXiv (Cornell University)
|
2014
|
252 회 인용
Ascertaining Uncertainty for Efficient Exact Cache Analysis
Valentin Touzeau, Claire Maïza 외 2명
arXiv (Cornell University)
|
2017
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252 회 인용
Challenges of Real-World Reinforcement Learning
Gabriel Dulac-Arnold, Daniel J. Mankowitz 외 1명
arXiv (Cornell University)
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2019
|
252 회 인용
Context-adaptive Entropy Model for End-to-end Optimized Image Compression
Jooyoung Lee, Seung-Hyun Cho 외 1명
arXiv (Cornell University)
|
2018
|
252 회 인용
Disentangling factors of variation in deep representations using adversarial training
Michaël Mathieu, Junbo Zhao 외 3명
arXiv (Cornell University)
|
2016
|
252 회 인용
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
Edward Choi, Mohammad Taha Bahadori 외 3명
arXiv (Cornell University)
|
2015
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252 회 인용
FeUdal Networks for Hierarchical Reinforcement Learning
Alexander Sasha Vezhnevets, Simon Osindero 외 5명
arXiv (Cornell University)
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2017
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252 회 인용
Learning Task Grouping and Overlap in Multi-task Learning
Abhishek Kumar, Hal Daumé
arXiv (Cornell University)
|
2012
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252 회 인용
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
Nicolas Vasilache, Oleksandr Zinenko 외 7명
arXiv (Cornell University)
|
2018
|
252 회 인용
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