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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
Breaking Sticks and Ambiguities with Adaptive Skip-gram
Sergey Bartunov, Dmitry Kondrashkin 외 2명
arXiv (Cornell University)
|
2015
|
120 회 인용
Comparison of non-linear activation functions for deep neural networks on MNIST classification task
Dabal Pedamonti
arXiv (Cornell University)
|
2018
|
120 회 인용
Controllable generation of highly nonclassical states from nearly pure squeezed vacua
Kentaro Wakui, H. Takahashi 외 2명
CERN Bulletin
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2006
|
120 회 인용
Deep Learning for Person Re-identification: A Survey and Outlook
Mang Ye, Jianbing Shen 외 4명
arXiv (Cornell University)
|
2020
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120 회 인용
Delving into Deep Imbalanced Regression
Yuzhe Yang, Kaiwen Zha 외 3명
arXiv (Cornell University)
|
2021
|
120 회 인용
Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond
Levent Sagun, Léon Bottou 외 1명
arXiv (Cornell University)
|
2016
|
120 회 인용
Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning
Leilani H. Gilpin, David Bau 외 4명
arXiv (Cornell University)
|
2018
|
120 회 인용
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations
Daniel S. Brown, Wonjoon Goo 외 2명
arXiv (Cornell University)
|
2019
|
120 회 인용
Faster CNNs with Direct Sparse Convolutions and Guided Pruning
Jongsoo Park, Sheng Li 외 5명
arXiv (Cornell University)
|
2016
|
120 회 인용
FFA-Net: Feature Fusion Attention Network for Single Image Dehazing
Qin Xu, Zhilin Wang 외 3명
arXiv (Cornell University)
|
2019
|
120 회 인용
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