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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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Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks
Jie Hu, Li Shen, +3
arXiv (Cornell University)
|
2018
|
386 citations
How Powerful are Graph Neural Networks?
Keyulu Xu, Weihua Hu, +2
arXiv (Cornell University)
|
2018
|
386 citations
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie, Ross Girshick, +3
arXiv (Cornell University)
|
2016
|
385 citations
Analyzing Federated Learning through an Adversarial Lens
Arjun Nitin Bhagoji, Supriyo Chakraborty, +2
arXiv (Cornell University)
|
2018
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385 citations
SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine
Matthew Dunn, Levent Sagun, +4
arXiv (Cornell University)
|
2017
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385 citations
Towards Good Practices for Very Deep Two-Stream ConvNets
Limin Wang, Yuanjun Xiong, +2
arXiv (Cornell University)
|
2015
|
385 citations
Causal Inference and Causal Explanation with Background Knowledge
Christopher Meek
arXiv (Cornell University)
|
2013
|
384 citations
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
Lianghui Zhu, Bencheng Liao, +4
arXiv (Cornell University)
|
2024
|
384 citations
CogView: Mastering Text-to-Image Generation via Transformers
Ming Ding, Zhuoyi Yang, +9
arXiv (Cornell University)
|
2021
|
383 citations
Exploring Models and Data for Image Question Answering
Mengye Ren, Ryan Kiros, +1
arXiv (Cornell University)
|
2015
|
383 citations
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