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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
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions
Jonathan Shen, Ruoming Pang 외 11명
arXiv (Cornell University)
|
2017
|
183 회 인용
Pooling Methods in Deep Neural Networks, a Review
Hossein Gholamalinezhad, Hossein Khosravi
arXiv (Cornell University)
|
2020
|
183 회 인용
RandAugment: Practical data augmentation with no separate search.
Ekin D. Cubuk, Barret Zoph 외 2명
arXiv (Cornell University)
|
2019
|
183 회 인용
Reinforcement Learning for Relation Classification from Noisy Data
Jun Feng, Minlie Huang 외 3명
arXiv (Cornell University)
|
2018
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183 회 인용
Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language Generation
Shikhar Sharma, Layla El Asri 외 2명
arXiv (Cornell University)
|
2017
|
183 회 인용
RMSProp and equilibrated adaptive learning rates for non-convex optimization.
Yann Dauphin, Harm de Vries 외 2명
arXiv (Cornell University)
|
2015
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183 회 인용
Survey propagation: an algorithm for satisfiability
Alfredo Braunstein, Marc Mézard 외 1명
ArXiv.org
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2002
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183 회 인용
Understanding Measures of Uncertainty for Adversarial Example Detection
Lewis Smith, Yarin Gal
arXiv (Cornell University)
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2018
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183 회 인용
Are Transformers Effective for Time Series Forecasting?
Ailing Zeng, Muxi Chen 외 2명
arXiv (Cornell University)
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2022
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182 회 인용
Bayesian Deep Learning and a Probabilistic Perspective of Generalization
Andrew Gordon Wilson, Pavel Izmailov
arXiv (Cornell University)
|
2020
|
182 회 인용
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