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