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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
Semantic Instance Segmentation via Deep Metric Learning
Alireza Fathi, Zbigniew Wojna 외 5명
arXiv (Cornell University)
|
2017
|
211 회 인용
Shallow and Deep Networks Intrusion Detection System: A Taxonomy and Survey
Elike Hodo, Xavier Bellekens 외 3명
arXiv (Cornell University)
|
2017
|
211 회 인용
BLOCKBENCH: A Framework for Analyzing Private Blockchains
Tien Tuan Anh Dinh, Ji Wang 외 4명
arXiv (Cornell University)
|
2017
|
210 회 인용
Document Expansion by Query Prediction
Rodrigo Nogueira, Wei Yang 외 2명
arXiv (Cornell University)
|
2019
|
210 회 인용
Expanding the Reach of Federated Learning by Reducing Client Resource Requirements
Sebastian Caldas, Jakub Konečny 외 2명
arXiv (Cornell University)
|
2018
|
210 회 인용
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
Lingzhi Li, Jianmin Bao 외 3명
arXiv (Cornell University)
|
2019
|
210 회 인용
Generalized Denoising Auto-Encoders as Generative Models
Yoshua Bengio, Li Yao 외 2명
arXiv (Cornell University)
|
2013
|
210 회 인용
"I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Data
Mubin Ul Haque, Isuru Dharmadasa 외 3명
arXiv (Cornell University)
|
2022
|
210 회 인용
Identity Mappings in Deep Residual Networks
Kaiming He, Xiangyu Zhang 외 2명
arXiv (Cornell University)
|
2016
|
210 회 인용
Imagination-Augmented Agents for Deep Reinforcement Learning
Théophane Weber, Sébastien Racanière 외 13명
arXiv (Cornell University)
|
2017
|
210 회 인용
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