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