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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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CvT: Introducing Convolutions to Vision Transformers
Haiping Wu, Bin Xiao, +5
arXiv (Cornell University)
|
2021
|
162 citations
DeeperLab: Single-Shot Image Parser
Tien-Ju Yang, Maxwell D. Collins, +7
arXiv (Cornell University)
|
2019
|
162 citations
Discovering Discrete Latent Topics with Neural Variational Inference
Yishu Miao, Edward Grefenstette, +1
arXiv (Cornell University)
|
2017
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162 citations
Discrimination-aware Channel Pruning for Deep Neural Networks
Zhuangwei Zhuang, Mingkui Tan, +6
arXiv (Cornell University)
|
2018
|
162 citations
Don't Use Large Mini-Batches, Use Local SGD
Tao Lin, Sebastian U. Stich, +2
arXiv (Cornell University)
|
2018
|
162 citations
Episodic Curiosity through Reachability
Nikolay Savinov, Anton Raichuk, +5
arXiv (Cornell University)
|
2018
|
162 citations
Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection
Zhixin Wang, Kui Jia
arXiv (Cornell University)
|
2019
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162 citations
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks
Kun Xu, Lingfei Wu, +4
arXiv (Cornell University)
|
2018
|
162 citations
Insertion Transformer: Flexible Sequence Generation via Insertion Operations
Mitchell Stern, William Chan, +2
arXiv (Cornell University)
|
2019
|
162 citations
Learned Cardinalities: Estimating Correlated Joins with Deep Learning
Andreas Kipf, Thomas Kipf, +4
arXiv (Cornell University)
|
2018
|
162 citations
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