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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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A Survey of Model Compression and Acceleration for Deep Neural Networks
Yu Cheng, Duo Wang, +2
arXiv (Cornell University)
|
2017
|
878 citations
HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips
Antoine Miech, Dimitri Zhukov, +4
arXiv (Cornell University)
|
2019
|
878 citations
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
Zhaohui Zheng, Ping Wang, +4
arXiv (Cornell University)
|
2019
|
876 citations
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Jakob Foerster, Yannis Assael, +2
arXiv (Cornell University)
|
2016
|
867 citations
Graph Contrastive Learning with Augmentations
Yuning You, Tianlong Chen, +4
arXiv (Cornell University)
|
2020
|
863 citations
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li, Dongxu Li, +2
arXiv (Cornell University)
|
2022
|
862 citations
Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition
Haşim Sak, Andrew Senior, +1
arXiv (Cornell University)
|
2014
|
859 citations
Generating Videos with Scene Dynamics
Carl Vondrick, Hamed Pirsiavash, +1
arXiv (Cornell University)
|
2016
|
848 citations
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
Robert E. Speer, Joshua Chin, +1
arXiv (Cornell University)
|
2016
|
844 citations
Automatic differentiation in machine learning: a survey
Shaikhha, Amir, Barak A. Pearlmutter
arXiv (Cornell University)
|
2015
|
843 citations
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