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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
Joint Unsupervised Learning of Deep Representations and Image Clusters
Jianwei Yang, Devi Parikh 외 1명
arXiv (Cornell University)
|
2016
|
145 회 인용
Learning to See by Moving
Pulkit Agrawal, João Carreira 외 1명
arXiv (Cornell University)
|
2015
|
145 회 인용
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Randal Douc, Nando de Freitas 외 2명
arXiv (Cornell University)
|
2013
|
145 회 인용
SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects
Xue Yang, Jirui Yang 외 6명
arXiv (Cornell University)
|
2018
|
145 회 인용
Swapping Autoencoder for Deep Image Manipulation
Taesung Park, Jun-Yan Zhu 외 5명
arXiv (Cornell University)
|
2020
|
145 회 인용
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development
Kexin Huang, Tianfan Fu 외 8명
arXiv (Cornell University)
|
2021
|
145 회 인용
Towards Deep Symbolic Reinforcement Learning
Marta Garnelo, Kai Arulkumaran 외 1명
arXiv (Cornell University)
|
2016
|
145 회 인용
Typical random 3-SAT formulae and the satisfiability threshold
Olivier Dubois, Yacine Boufkhad 외 1명
ArXiv.org
|
2002
|
145 회 인용
Unsupervised Dense Information Retrieval with Contrastive Learning
Gautier Izacard, Mathilde Caron 외 5명
arXiv (Cornell University)
|
2021
|
145 회 인용
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks
Tianfan Xue, Jiajun Wu 외 2명
arXiv (Cornell University)
|
2016
|
145 회 인용
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