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