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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
Manifest Duality in Low-Energy Superstrings
Warren Siegel
ArXiv.org
|
1993
|
113 회 인용
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning
Matthew Jagielski, Alina Oprea 외 4명
arXiv (Cornell University)
|
2018
|
113 회 인용
Molecular representation learning with language models and domain-relevant auxiliary tasks
Benedek Fabian, Thomas Edlich 외 5명
arXiv (Cornell University)
|
2020
|
113 회 인용
Multi-style Generative Network for Real-time Transfer
Hang Zhang, Kristin Dana
arXiv (Cornell University)
|
2017
|
113 회 인용
Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (2009)
Jeff Bilmes, Andrew Y. Ng
arXiv (Cornell University)
|
2012
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113 회 인용
Quantum Neuron: an elementary building block for machine learning on quantum computers
Yudong Cao, Gian Giacomo Guerreschi 외 1명
arXiv (Cornell University)
|
2017
|
113 회 인용
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal, Jean Ogier du Terrail 외 1명
arXiv (Cornell University)
|
2018
|
113 회 인용
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views
Hao Su, Charles R. Qi 외 2명
arXiv (Cornell University)
|
2015
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113 회 인용
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Gowthami Somepalli, Micah Goldblum 외 3명
arXiv (Cornell University)
|
2021
|
113 회 인용
TimeNet: Pre-trained deep recurrent neural network for time series classification
Pankaj Malhotra, Vishnu Tv 외 3명
arXiv (Cornell University)
|
2017
|
113 회 인용
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