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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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BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage
Kurt Shuster, Jing Xu, +16
arXiv (Cornell University)
|
2022
|
98 citations
BlockSci: Design and applications of a blockchain analysis platform
Harry Kalodner, Steven Goldfeder, +3
arXiv (Cornell University)
|
2017
|
98 citations
Channel Gating Neural Networks
Weizhe Hua, Yuan Zhou, +3
arXiv (Cornell University)
|
2018
|
98 citations
Continual Learning in Generative Adversarial Nets
Ari Seff, Alex Beatson, +2
arXiv (Cornell University)
|
2017
|
98 citations
Designing AI Learning Experiences for K-12: Emerging Works, Future Opportunities and a Design Framework
Xiaofei Zhou, Jessica Van Brummelen, +1
arXiv (Cornell University)
|
2020
|
98 citations
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning
Pan Li, Yanbang Wang, +2
arXiv (Cornell University)
|
2020
|
98 citations
Edge Contraction Pooling for Graph Neural Networks
Frederik Diehl
arXiv (Cornell University)
|
2019
|
98 citations
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing
Zhi Zhou, Xu Chen, +4
arXiv (Cornell University)
|
2019
|
98 citations
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search
Arthur Guez, David Silver, +1
arXiv (Cornell University)
|
2012
|
98 citations
Efficient Few-Shot Learning Without Prompts
Lewis Tunstall, Nils Reimers, +5
arXiv (Cornell University)
|
2022
|
98 citations
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