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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
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition
Shoufa Chen, Chongjian Ge 외 5명
arXiv (Cornell University)
|
2022
|
260 회 인용
DeepGaze II: Reading fixations from deep features trained on object recognition
Matthias Kümmerer, Thomas S. A. Wallis 외 1명
arXiv (Cornell University)
|
2016
|
260 회 인용
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh, Aryan Mokhtari 외 3명
arXiv (Cornell University)
|
2019
|
260 회 인용
Fully Connected Deep Structured Networks
Alexander G. Schwing, Raquel Urtasun
arXiv (Cornell University)
|
2015
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260 회 인용
Learning Deep Embeddings with Histogram Loss
Evgeniya Ustinova, Victor Lempitsky
arXiv (Cornell University)
|
2016
|
260 회 인용
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David Krueger, Ethan Caballero 외 6명
arXiv (Cornell University)
|
2020
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260 회 인용
Wide & Deep Learning for Recommender Systems
Heng-Tze Cheng, Levent Koç 외 14명
arXiv (Cornell University)
|
2016
|
260 회 인용
Agnostic Federated Learning
Mehryar Mohri, Gary Sivek 외 1명
arXiv (Cornell University)
|
2019
|
259 회 인용
Automated Machine Learning: From Principles to Practices
Zhenqian Shen, Yongqi Zhang 외 3명
arXiv (Cornell University)
|
2018
|
259 회 인용
Deep $k$-Means: Jointly clustering with $k$-Means and learning representations
Maziar Moradi Fard, Thibaut Thonet 외 1명
arXiv (Cornell University)
|
2018
|
259 회 인용
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