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Rapid Classification of TESS Planet Candidates with Convolutional Neural Networks

, , , , , , , , and . (2019)cite arxiv:1902.08544Comment: 11 pages, 10 figures, Submitted to A&A.

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Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing with the Data Imbalance in Graph Neural Networks., , , and . Canadian AI, Canadian Artificial Intelligence Association, (2023)Decision Forests, Convolutional Networks and the Models in-Between., , , , , , and . CoRR, (2016)Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups., , , and . CVPR, page 5977-5986. IEEE Computer Society, (2017)Difference of Normals as a Multi-scale Operator in Unorganized Point Clouds., , , and . 3DIMPVT, page 501-508. IEEE Computer Society, (2012)Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win., , , and . AAAI, page 6577-6586. AAAI Press, (2022)Training CNNs with Low-Rank Filters for Efficient Image Classification., , , , and . ICLR (Poster), (2016)Measuring Neural Net Robustness with Constraints., , , , , and . NIPS, page 2613-2621. (2016)Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups., , , and . CoRR, (2016)Rapid Classification of TESS Planet Candidates with Convolutional Neural Networks, , , , , , , , and . (2019)cite arxiv:1902.08544Comment: 11 pages, 10 figures, Submitted to A&A.Refining Architectures of Deep Convolutional Neural Networks., , , , and . CVPR, page 2212-2220. IEEE Computer Society, (2016)