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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
Training Deep Nets with Sublinear Memory Cost
Tianqi Chen, Bing Xu 외 2명
arXiv (Cornell University)
|
2016
|
538 회 인용
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
Wonjae Kim, Bokyung Son 외 1명
arXiv (Cornell University)
|
2021
|
538 회 인용
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration
Jacob R. Gardner, Geoff Pleiss 외 3명
arXiv (Cornell University)
|
2018
|
536 회 인용
Inferring Parameters and Structure of Latent Variable Models by Variational Bayes
Hagai Attias
arXiv (Cornell University)
|
2013
|
536 회 인용
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels
Lu Jiang, Zhengyuan Zhou 외 3명
arXiv (Cornell University)
|
2017
|
536 회 인용
Stacked Hourglass Networks for Human Pose Estimation
Alejandro Newell, Kaiyu Yang 외 1명
arXiv (Cornell University)
|
2016
|
536 회 인용
Conservative Q-Learning for Offline Reinforcement Learning
Aviral Kumar, Aurick Zhou 외 2명
arXiv (Cornell University)
|
2020
|
535 회 인용
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
Tian Zhou, Ziqing Ma 외 4명
arXiv (Cornell University)
|
2022
|
535 회 인용
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
Yuqi Nie, Nam Hoai Nguyen 외 2명
arXiv (Cornell University)
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2022
|
534 회 인용
Instantaneous Non-Local Computation of Low T-Depth Quantum Circuits
Speelman, Florian
arXiv (Cornell University)
|
1998
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532 회 인용
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