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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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Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net
Wenjie Luo, Bin Yang, +1
arXiv (Cornell University)
|
2020
|
348 citations
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
Dmitry Lepikhin, HyoukJoong Lee, +7
arXiv (Cornell University)
|
2020
|
348 citations
Universal Style Transfer via Feature Transforms
Yijun Li, Fang Chen, +4
arXiv (Cornell University)
|
2017
|
348 citations
Variational Dropout Sparsifies Deep Neural Networks
Dmitry Molchanov, Arsenii Ashukha, +1
arXiv (Cornell University)
|
2017
|
348 citations
Deep Ensembles: A Loss Landscape Perspective
Stanislav Fort, Huiyi Hu, +1
arXiv (Cornell University)
|
2019
|
347 citations
Train faster, generalize better: Stability of stochastic gradient descent
Moritz Hardt, Benjamin Recht, +1
arXiv (Cornell University)
|
2015
|
347 citations
Hierarchical Multi-Scale Attention for Semantic Segmentation
Andrew Tao, Karan Sapra, +1
arXiv (Cornell University)
|
2020
|
346 citations
Imagen Video: High Definition Video Generation with Diffusion Models
Jonathan Ho, William Chan, +9
arXiv (Cornell University)
|
2022
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346 citations
Kernel-based Conditional Independence Test and Application in Causal Discovery
Kun Zhang, Jonas Peters, +2
arXiv (Cornell University)
|
2012
|
346 citations
Passage Re-ranking with BERT
Rodrigo Nogueira, Kyunghyun Cho
arXiv (Cornell University)
|
2019
|
346 citations
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