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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
A Study on Feature Selection Techniques in Educational Data Mining
M. Ramaswami, R. Bhaskaran
ArXiv.org
|
2009
|
123 회 인용
Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient Descent
Chi Jin, Praneeth Netrapalli 외 1명
arXiv (Cornell University)
|
2017
|
123 회 인용
Active Libraries: Rethinking the roles of compilers and libraries
Todd L. Veldhuizen, Dennis Gannon
ArXiv.org
|
1998
|
123 회 인용
An introduction to measurement based quantum computation
Richard Jozsa
ArXiv.org
|
2005
|
123 회 인용
auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks
Michael Freitag, Shahin Amiriparian 외 3명
arXiv (Cornell University)
|
2017
|
123 회 인용
Autoencoders
Dor Bank, Noam Koenigstein 외 1명
arXiv (Cornell University)
|
2020
|
123 회 인용
Bayesian Hierarchical Mixtures of Experts
Chris Bishop, Markus Svenskn
arXiv (Cornell University)
|
2012
|
123 회 인용
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels
Lu Jiang, Di Huang 외 2명
arXiv (Cornell University)
|
2019
|
123 회 인용
Concrete Dropout
Yarin Gal, Jiri Hron 외 1명
arXiv (Cornell University)
|
2017
|
123 회 인용
Deep Networks for Image Super-Resolution with Sparse Prior
Zhaowen Wang, Ding Liu 외 3명
arXiv (Cornell University)
|
2015
|
123 회 인용
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