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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
Learning Adversarially Fair and Transferable Representations
David Madras, Elliot Creager 외 2명
arXiv (Cornell University)
|
2018
|
190 회 인용
Masked Autoencoders Are Scalable Vision Learners
Kaiming He, Xinlei Chen 외 4명
arXiv (Cornell University)
|
2021
|
190 회 인용
Measuring Catastrophic Forgetting in Neural Networks
Ronald Kemker, Marc McClure 외 3명
arXiv (Cornell University)
|
2017
|
190 회 인용
Progressive Distillation for Fast Sampling of Diffusion Models
Tim Salimans, Jonathan Ho
arXiv (Cornell University)
|
2022
|
190 회 인용
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou, Hang Zhao 외 5명
arXiv (Cornell University)
|
2016
|
190 회 인용
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
Defu Cao, Yujing Wang 외 9명
arXiv (Cornell University)
|
2021
|
190 회 인용
THCHS-30 : A Free Chinese Speech Corpus
Dong Wang, Xuewei Zhang
arXiv (Cornell University)
|
2015
|
190 회 인용
A Self-Attentive model for Knowledge Tracing
Shalini Pandey, George Karypis
arXiv (Cornell University)
|
2019
|
189 회 인용
A Survey of Learning Causality with Data: Problems and Methods
Ruocheng Guo, Lu Cheng 외 3명
arXiv (Cornell University)
|
2018
|
189 회 인용
ActionCLIP: A New Paradigm for Video Action Recognition
Mengmeng Wang, Jiazheng Xing 외 1명
arXiv (Cornell University)
|
2021
|
189 회 인용
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