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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
A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization
Pascal Bianchi, Walid Hachem 외 1명
arXiv (Cornell University)
|
2014
|
144 회 인용
A Primer on the Signature Method in Machine Learning
Ilya Chevyrev, Andrey Kormilitzin
arXiv (Cornell University)
|
2016
|
144 회 인용
A Two-round Variant of EM for Gaussian Mixtures
Sanjoy Dasgupta, Leonard J. Schulman
arXiv (Cornell University)
|
2013
|
144 회 인용
Adversarial Training Can Hurt Generalization
Aditi Raghunathan, Sang Michael Xie 외 3명
arXiv (Cornell University)
|
2019
|
144 회 인용
Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression
Jiabo He, Sarah Erfani 외 4명
arXiv (Cornell University)
|
2021
|
144 회 인용
Autoencoding Variational Inference For Topic Models
Akash Srivastava, Charles Sutton
arXiv (Cornell University)
|
2017
|
144 회 인용
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Qingyun Wu
arXiv (Cornell University)
|
2023
|
144 회 인용
Automatic Goal Generation for Reinforcement Learning Agents
Carlos Florensa, David Held 외 2명
arXiv (Cornell University)
|
2017
|
144 회 인용
Brief Announcement: On Implementing Wear Leveling in Persistent Synchronization Structures
Joseph Izraelevitz, Kansara, Kush 외 3명
arXiv (Cornell University)
|
2023
|
144 회 인용
Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback
Baolin Peng, Michel Galley 외 9명
arXiv (Cornell University)
|
2023
|
144 회 인용
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