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Computer Science 论文解读
Computer Science 领域重要论文的 AI 解读列表，按研究动机、方法与结果结构化呈现。
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Learning Adversarially Fair and Transferable Representations
David Madras, Elliot Creager, +2
arXiv (Cornell University)
|
2018
|
190 citations
Masked Autoencoders Are Scalable Vision Learners
Kaiming He, Xinlei Chen, +4
arXiv (Cornell University)
|
2021
|
190 citations
Measuring Catastrophic Forgetting in Neural Networks
Ronald Kemker, Marc McClure, +3
arXiv (Cornell University)
|
2017
|
190 citations
Progressive Distillation for Fast Sampling of Diffusion Models
Tim Salimans, Jonathan Ho
arXiv (Cornell University)
|
2022
|
190 citations
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou, Hang Zhao, +5
arXiv (Cornell University)
|
2016
|
190 citations
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
Defu Cao, Yujing Wang, +9
arXiv (Cornell University)
|
2021
|
190 citations
THCHS-30 : A Free Chinese Speech Corpus
Dong Wang, Xuewei Zhang
arXiv (Cornell University)
|
2015
|
190 citations
A Self-Attentive model for Knowledge Tracing
Shalini Pandey, George Karypis
arXiv (Cornell University)
|
2019
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189 citations
A Survey of Learning Causality with Data: Problems and Methods
Ruocheng Guo, Lu Cheng, +3
arXiv (Cornell University)
|
2018
|
189 citations
ActionCLIP: A New Paradigm for Video Action Recognition
Mengmeng Wang, Jiazheng Xing, +1
arXiv (Cornell University)
|
2021
|
189 citations
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