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Computer Science 論文レビュー
Computer Science 分野の主要論文を動機・手法・結果に構造化した AI 論文レビュー一覧です。
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CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting
Gerald Woo, Chenghao Liu, +3
arXiv (Cornell University)
|
2022
|
86 citations
CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models
Yuan Yao, Ao Zhang, +4
arXiv (Cornell University)
|
2021
|
86 citations
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization
Chunliang Li, Kihyuk Sohn, +2
arXiv (Cornell University)
|
2021
|
86 citations
DCN+: Mixed Objective and Deep Residual Coattention for Question Answering
Caiming Xiong, Victor W. Zhong, +1
arXiv (Cornell University)
|
2017
|
86 citations
Deep Active Learning over the Long Tail
Yonatan Geifman, Ran El‐Yaniv
arXiv (Cornell University)
|
2017
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86 citations
Deep Directed Generative Models with Energy-Based Probability Estimation
Taesup Kim, Yoshua Bengio
arXiv (Cornell University)
|
2016
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86 citations
DeepStereo: Learning to Predict New Views from the World's Imagery
John P. Flynn, Ivan Neulander, +2
arXiv (Cornell University)
|
2015
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86 citations
DLV - A System for Declarative Problem Solving
Thomas Eiter, Wolfgang Faber, +3
ArXiv.org
|
2000
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86 citations
Edge Impulse: An MLOps Platform for Tiny Machine Learning
Shawn Hymel, Colby Banbury, +14
arXiv (Cornell University)
|
2022
|
86 citations
Evaluating Reinforcement Learning Algorithms in Observational Health Settings
Omer Gottesman, Fredrik Johansson, +18
arXiv (Cornell University)
|
2018
|
86 citations
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