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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
HARP: Hierarchical Representation Learning for Networks
Haochen Chen, Bryan Perozzi 외 2명
arXiv (Cornell University)
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2017
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127 회 인용
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
Junxian He, Daniel Spokoyny 외 2명
arXiv (Cornell University)
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2019
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127 회 인용
Learning Deep CNN Denoiser Prior for Image Restoration
Kai Zhang, Wangmeng Zuo 외 2명
arXiv (Cornell University)
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2017
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127 회 인용
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
Sandeep Subramanian, Adam Trischler 외 2명
arXiv (Cornell University)
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2018
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127 회 인용
Learning Recurrent Span Representations for Extractive Question Answering
Kenton Lee, Shimi Salant 외 4명
arXiv (Cornell University)
|
2016
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127 회 인용
Masked-attention Mask Transformer for Universal Image Segmentation
Bowen Cheng, Ishan Misra 외 3명
arXiv (Cornell University)
|
2021
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127 회 인용
Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning
Artur d’Avila Garcez, Marco Gori 외 4명
arXiv (Cornell University)
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2019
|
127 회 인용
On Causal and Anticausal Learning
Bernhard Schoelkopf, Dominik Janzing 외 4명
arXiv (Cornell University)
|
2012
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127 회 인용
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen, Rob Fergus
arXiv (Cornell University)
|
2014
|
127 회 인용
Probabilistic Similarity Logic
Matthias Bröcheler, Lilyana Mihalkova 외 1명
arXiv (Cornell University)
|
2012
|
127 회 인용
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