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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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Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution
Thomas Elsken, Jan Hendrik Metzen, +1
arXiv (Cornell University)
|
2018
|
214 citations
FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows
Jiawei Yu, Ye Zheng, +5
arXiv (Cornell University)
|
2021
|
214 citations
Generative Image Inpainting with Contextual Attention
Jiahui Yu, Zhe Lin, +4
arXiv (Cornell University)
|
2018
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214 citations
High-Fidelity Generative Image Compression
Fabian Mentzer, George Toderici, +2
arXiv (Cornell University)
|
2020
|
214 citations
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)
Andrew Gordon Wilson, Hannes Nickisch
arXiv (Cornell University)
|
2015
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214 citations
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
Pan Lu, Swaroop Mishra, +7
arXiv (Cornell University)
|
2022
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214 citations
Meta Networks
Tsendsuren Munkhdalai, Hong Yu
arXiv (Cornell University)
|
2017
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214 citations
Personalized Federated Learning with Moreau Envelopes
Canh T. Dinh, Nguyen H. Tran, +1
arXiv (Cornell University)
|
2020
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214 citations
Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks
Behnam Neyshabur, Zhiyuan Li, +3
arXiv (Cornell University)
|
2018
|
214 citations
W-Net: A Deep Model for Fully Unsupervised Image Segmentation
Xide Xia, Brian Kulis
arXiv (Cornell University)
|
2017
|
214 citations
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