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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
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning
Briland Hitaj, Giuseppe Ateniese 외 1명
arXiv (Cornell University)
|
2017
|
224 회 인용
Exact Combinatorial Optimization with Graph Convolutional Neural Networks
Maxime Gasse, Didier Chételat 외 3명
arXiv (Cornell University)
|
2019
|
224 회 인용
Extended Object Tracking: Introduction, Overview and Applications
Karl Granström, Marcus Baum 외 1명
GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen)
|
2016
|
224 회 인용
Hierarchical Solution of Markov Decision Processes using Macro-actions
Miloš Hauskrecht, Nicolas Meuleau 외 3명
arXiv (Cornell University)
|
2013
|
224 회 인용
PP-YOLOE: An evolved version of YOLO
Shangliang Xu, Xinxin Wang 외 9명
arXiv (Cornell University)
|
2022
|
224 회 인용
Sensitivity and Generalization in Neural Networks: an Empirical Study
Roman Novak, Yasaman Bahri 외 3명
arXiv (Cornell University)
|
2018
|
224 회 인용
CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms
Ahmed Elgammal, Bingchen Liu 외 2명
arXiv (Cornell University)
|
2017
|
223 회 인용
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers
Yogesh Balaji, Seungjun Nah 외 11명
arXiv (Cornell University)
|
2022
|
223 회 인용
Experimental Support for a Categorical Compositional Distributional Model of Meaning
Edward Grefenstette, Mehrnoosh Sadrzadeh
arXiv (Cornell University)
|
2011
|
223 회 인용
Learning to Cooperate via Policy Search
Leonid Peshkin, Kee-Eung Kim 외 2명
arXiv (Cornell University)
|
2014
|
223 회 인용
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