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