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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
Single Path One-Shot Neural Architecture Search with Uniform Sampling
Zichao Guo, Xiangyu Zhang 외 5명
arXiv (Cornell University)
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2019
|
246 회 인용
Unifying Count-Based Exploration and Intrinsic Motivation
Marc G. Bellemare, Sriram Srinivasan 외 4명
arXiv (Cornell University)
|
2016
|
246 회 인용
A Survey on In-context Learning
Qingxiu Dong, Lei Li 외 12명
arXiv (Cornell University)
|
2022
|
245 회 인용
Deep Equilibrium Models
Shaojie Bai, J. Zico Kolter 외 1명
arXiv (Cornell University)
|
2019
|
245 회 인용
How to Construct Deep Recurrent Neural Networks
Razvan Pascanu, Çaǧlar Gülçehre 외 2명
arXiv (Cornell University)
|
2013
|
245 회 인용
Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques
Narinder Singh Punn, Sanjay Kumar Sonbhadra 외 2명
arXiv (Cornell University)
|
2020
|
245 회 인용
Multi-Scale Dense Networks for Resource Efficient Image Classification
Gao Huang, Danlu Chen 외 4명
arXiv (Cornell University)
|
2017
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245 회 인용
SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction
Minhao Liu, Ailing Zeng 외 5명
arXiv (Cornell University)
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2021
|
245 회 인용
TENER: Adapting Transformer Encoder for Named Entity Recognition
Hang Yan, Bocao Deng 외 2명
arXiv (Cornell University)
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2019
|
245 회 인용
An introduction to domain adaptation and transfer learning
Wouter M. Kouw, Loog, Marco
arXiv (Cornell University)
|
2018
|
244 회 인용
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