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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
Coupled Generative Adversarial Networks
Ming-Yu Liu, Oncel Tuzel
arXiv (Cornell University)
|
2016
|
102 회 인용
Deep High-Resolution Representation Learning for Cross-Resolution Person Re-identification
Guoqing Zhang, Yu Ge 외 4명
arXiv (Cornell University)
|
2021
|
102 회 인용
Deep Learning with Topological Signatures
Christoph D. Hofer, Roland Kwitt 외 2명
arXiv (Cornell University)
|
2017
|
102 회 인용
Denoising Diffusion Implicit Models
Jiaming Song, Chenlin Meng 외 1명
arXiv (Cornell University)
|
2020
|
102 회 인용
DiffEdit: Diffusion-based semantic image editing with mask guidance
Guillaume Couairon, Jakob Verbeek 외 2명
arXiv (Cornell University)
|
2022
|
102 회 인용
Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification
Yongxing Dai, Jun Liu 외 3명
arXiv (Cornell University)
|
2020
|
102 회 인용
EPIC-KITCHENS-100
Dima Damen, Davide Moltisanti 외 7명
Explore Bristol Research
|
2020
|
102 회 인용
Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks
Nicolas Usunier, Gabriel Synnaeve 외 2명
arXiv (Cornell University)
|
2016
|
102 회 인용
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
Shiqi Yang, Yaxing Wang 외 3명
arXiv (Cornell University)
|
2021
|
102 회 인용
Federated Learning with Matched Averaging
Hongyi Wang, Mikhail Yurochkin 외 3명
arXiv (Cornell University)
|
2020
|
102 회 인용
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