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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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LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Xiangnan He, Kuan Deng, +4
arXiv (Cornell University)
|
2020
|
413 citations
BERT for Joint Intent Classification and Slot Filling
Chen Qian, Zhuo Zhu, +1
arXiv (Cornell University)
|
2019
|
412 citations
Deep Graph Contrastive Representation Learning
Yanqiao Zhu, Yichen Xu, +4
arXiv (Cornell University)
|
2020
|
412 citations
Global Attention Mechanism: Retain Information to Enhance Channel-Spatial Interactions
Yichao Liu, Zongru Shao, +1
arXiv (Cornell University)
|
2021
|
412 citations
Improved Denoising Diffusion Probabilistic Models
Alex Nichol, Prafulla Dhariwal
arXiv (Cornell University)
|
2021
|
412 citations
Quantum codes on a lattice with boundary
Sergey Bravyi, Alexei Kitaev
ArXiv.org
|
1998
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412 citations
SphereFace: Deep Hypersphere Embedding for Face Recognition
Weiyang Liu, Yandong Wen, +4
arXiv (Cornell University)
|
2017
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412 citations
Distributed Prioritized Experience Replay
Dan Horgan, John Quan, +5
arXiv (Cornell University)
|
2018
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411 citations
Deep Learning is Robust to Massive Label Noise
David Rolnick, Andreas Veit, +2
arXiv (Cornell University)
|
2017
|
408 citations
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
Juho Lee, Yoonho Lee, +4
arXiv (Cornell University)
|
2018
|
408 citations
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