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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
Model-Based Bayesian Exploration
Richard Dearden, Nir Friedman 외 1명
arXiv (Cornell University)
|
2013
|
234 회 인용
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks
Christos Louizos, Max Welling
arXiv (Cornell University)
|
2017
|
234 회 인용
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
Kexin Yi, Jia-Jun Wu 외 4명
arXiv (Cornell University)
|
2018
|
234 회 인용
PP-YOLO: An Effective and Efficient Implementation of Object Detector
Xiang Long, Kaipeng Deng 외 9명
arXiv (Cornell University)
|
2020
|
234 회 인용
ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks
Francesco Visin, Kyle Kastner 외 4명
arXiv (Cornell University)
|
2015
|
234 회 인용
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
Aviral Kumar, Justin Fu 외 2명
arXiv (Cornell University)
|
2019
|
234 회 인용
Threats to Federated Learning: A Survey
Lingjuan Lyu, Han Yu 외 1명
arXiv (Cornell University)
|
2020
|
234 회 인용
Towards Out-Of-Distribution Generalization: A Survey
Jiashuo Liu, Zheyan Shen 외 5명
arXiv (Cornell University)
|
2021
|
234 회 인용
A practical heuristic for finding graph minors
Jun Liang Cai, William G. Macready 외 1명
arXiv (Cornell University)
|
2014
|
233 회 인용
Automatic Chain of Thought Prompting in Large Language Models
Zhuosheng Zhang, Aston Zhang 외 2명
arXiv (Cornell University)
|
2022
|
233 회 인용
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