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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
NGBoost: Natural Gradient Boosting for Probabilistic Prediction
Tony Duan, Anand Avati 외 5명
arXiv (Cornell University)
|
2019
|
143 회 인용
Overcoming Forgetting in Federated Learning on Non-IID Data
Neta Shoham, Tomer Avidor 외 5명
arXiv (Cornell University)
|
2019
|
143 회 인용
Polynomial Learning of Distribution Families
Mikhail Belkin, K. P. Sinha
arXiv (Cornell University)
|
2010
|
143 회 인용
Self-Supervised Spatiotemporal Feature Learning via Video Rotation Prediction
Longlong Jing, Xiaodong Yang 외 2명
arXiv (Cornell University)
|
2018
|
143 회 인용
Siamese Instance Search for Tracking
Ran Tao, Efstratios Gavves 외 1명
arXiv (Cornell University)
|
2016
|
143 회 인용
SlowFast Networks for Video Recognition
Christoph Feichtenhofer, Haoqi Fan 외 2명
arXiv (Cornell University)
|
2018
|
143 회 인용
Stacking classifiers for anti-spam filtering of e-mail
Georgios Sakkis, Ion Androutsopoulos 외 4명
ArXiv.org
|
2001
|
143 회 인용
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Zhisheng Xiao, Karsten Kreis 외 1명
arXiv (Cornell University)
|
2021
|
143 회 인용
VSE++: Improved Visual-Semantic Embeddings.
Fartash Faghri, David J. Fleet 외 2명
arXiv (Cornell University)
|
2017
|
143 회 인용
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
Marc Lanctot, Vinícius Zambaldi 외 6명
arXiv (Cornell University)
|
2017
|
142 회 인용
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