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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
Unsupervised Learning of Object Landmarks through Conditional Image Generation
Tomáš Jakab, Ankush Gupta 외 2명
arXiv (Cornell University)
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2018
|
104 회 인용
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding
Sana Tonekaboni, Danny Eytan 외 1명
arXiv (Cornell University)
|
2021
|
104 회 인용
What does a conditional knowledge base entail?
Daniel Lehmann, Magidor, Menachem
ArXiv.org
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2002
|
104 회 인용
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study
Marcin Andrychowicz, Anton Raichuk 외 10명
arXiv (Cornell University)
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2020
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104 회 인용
A Dual Embedding Space Model for Document Ranking
Bhaskar Mitra, Eric Nalisnick 외 2명
arXiv (Cornell University)
|
2016
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103 회 인용
Adversarial and Clean Data Are Not Twins
Zhitao Gong, Wenlu Wang 외 1명
arXiv (Cornell University)
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2017
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103 회 인용
An Experimental Comparison of Several Clustering and Initialization Methods
Marina Meilă, David Heckerman
arXiv (Cornell University)
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2013
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103 회 인용
Arabic aspect based sentiment analysis using bidirectional GRU based models
Mohammed M. Abdelgwad, Taysir Hassan A. Soliman 외 2명
arXiv (Cornell University)
|
2021
|
103 회 인용
Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP
Sabrina J. Mielke, Zaid Alyafeai 외 9명
arXiv (Cornell University)
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2021
|
103 회 인용
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
Yuezun Li, Xin Yang 외 3명
arXiv (Cornell University)
|
2019
|
103 회 인용
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