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