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Computer Science 논문 리뷰
Computer Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage
Kurt Shuster, Jing Xu 외 16명
arXiv (Cornell University)
|
2022
|
98 회 인용
BlockSci: Design and applications of a blockchain analysis platform
Harry Kalodner, Steven Goldfeder 외 3명
arXiv (Cornell University)
|
2017
|
98 회 인용
Channel Gating Neural Networks
Weizhe Hua, Yuan Zhou 외 3명
arXiv (Cornell University)
|
2018
|
98 회 인용
Continual Learning in Generative Adversarial Nets
Ari Seff, Alex Beatson 외 2명
arXiv (Cornell University)
|
2017
|
98 회 인용
Designing AI Learning Experiences for K-12: Emerging Works, Future Opportunities and a Design Framework
Xiaofei Zhou, Jessica Van Brummelen 외 1명
arXiv (Cornell University)
|
2020
|
98 회 인용
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning
Pan Li, Yanbang Wang 외 2명
arXiv (Cornell University)
|
2020
|
98 회 인용
Edge Contraction Pooling for Graph Neural Networks
Frederik Diehl
arXiv (Cornell University)
|
2019
|
98 회 인용
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing
Zhi Zhou, Xu Chen 외 4명
arXiv (Cornell University)
|
2019
|
98 회 인용
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search
Arthur Guez, David Silver 외 1명
arXiv (Cornell University)
|
2012
|
98 회 인용
Efficient Few-Shot Learning Without Prompts
Lewis Tunstall, Nils Reimers 외 5명
arXiv (Cornell University)
|
2022
|
98 회 인용
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