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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
Style Transfer as Unsupervised Machine Translation
Zhirui Zhang, Shuo Ren 외 6명
arXiv (Cornell University)
|
2018
|
114 회 인용
The Cost of Training NLP Models: A Concise Overview
Or Sharir, Barak Peleg 외 1명
arXiv (Cornell University)
|
2020
|
114 회 인용
Tianshou: a Highly Modularized Deep Reinforcement Learning Library
Jiayi Weng, Huayu Chen 외 7명
arXiv (Cornell University)
|
2021
|
114 회 인용
Training with Quantization Noise for Extreme Model Compression
Angela Fan, Pierre Stock 외 5명
arXiv (Cornell University)
|
2020
|
114 회 인용
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
Mark F. Hamilton, Zhoutong Zhang 외 3명
arXiv (Cornell University)
|
2022
|
114 회 인용
Variations of the Similarity Function of TextRank for Automated Summarization
Federico Barrios, Federico López 외 2명
arXiv (Cornell University)
|
2016
|
114 회 인용
Visual Sentiment Prediction with Deep Convolutional Neural Networks
Can Xu, Suleyman Cetintas 외 2명
arXiv (Cornell University)
|
2014
|
114 회 인용
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid, Gregory Farquhar 외 2명
arXiv (Cornell University)
|
2020
|
114 회 인용
Wireless Network Information Flow
A. Salman Avestimehr, Suhas Diggavi 외 1명
ArXiv.org
|
2007
|
114 회 인용
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning
Junhyuk Oh, Satinder Singh 외 2명
arXiv (Cornell University)
|
2017
|
114 회 인용
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