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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
DynaBERT: Dynamic BERT with Adaptive Width and Depth
Lu Hou, Zhiqi Huang 외 4명
arXiv (Cornell University)
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2020
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119 회 인용
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu, Max Bartolo 외 3명
arXiv (Cornell University)
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2021
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119 회 인용
Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions
Yanshuai Cao, David J. Fleet
arXiv (Cornell University)
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2014
|
119 회 인용
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series
Edward De Brouwer, Jaak Simm 외 2명
arXiv (Cornell University)
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2019
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119 회 인용
Hierarchical 3D fully convolutional networks for multi-organ segmentation
Holger R. Roth, Hirohisa Oda 외 6명
arXiv (Cornell University)
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2017
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119 회 인용
How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation
Yoshua Bengio
arXiv (Cornell University)
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2014
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119 회 인용
Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation
Niels Justesen, Rubén Rodríguez Torrado 외 4명
arXiv (Cornell University)
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2018
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119 회 인용
Influence of COVID-19 confinement in students performance in higher education
Tania Martín González, M.A. de la Rubia 외 5명
arXiv (Cornell University)
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2020
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119 회 인용
Language Models for Image Captioning: The Quirks and What Works
Jacob Devlin, Hao Cheng 외 6명
arXiv (Cornell University)
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2015
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119 회 인용
Learning to Protect Communications with Adversarial Neural Cryptography
Martı́n Abadi, David G. Andersen
arXiv (Cornell University)
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2016
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119 회 인용
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