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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| arxiv 2008.12873 |
| Ground Control to Major Tom: the importance of field surveys in remotely sensed data analysis | Ian Bolliger, Tamma Carleton, Solomon Hsiang | 2017 | arxiv 1710.09342 |
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| Deep reinforcement learning with automated label extraction from clinical reports accurately classifies 3D MRI brain volumes | Joseph Stember, Hrithwik Shalu | 2021 | arxiv 2106.09812 |
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| Image feature extraction and galaxy classification: a novel and efficient approach with automated machine learning | F. Tarsitano, C. Bruderer, K. Schawinski | 2021 | arxiv 2105.01070 |
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| Fashion and Apparel Classification using Convolutional Neural Networks | Alexander Schindler, Thomas Lidy, Stephan Karner | 2018 | arxiv 1811.04374 |
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| Contextual Local Explanation for Black Box Classifiers | Zijian Zhang, Fan Yang, Haofan Wang | 2019 | arxiv 1910.00768 |
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| Hyperbolic Image Embeddings | Valentin Khrulkov, Leyla Mirvakhabova, Evgeniya Ustinova | 2019 | arxiv 1904.02239 |
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| Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing | Daniela A. Zaidenberg, Alessandro Sebastianelli, Dario Spiller | 2021 | arxiv 2101.10657 |
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| Classification with Runge-Kutta networks and feature space augmentation | Elisa Giesecke, Axel Kröner | 2021 | arxiv 2104.02369 |
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| Signature-Graph Networks | Ali Hamdi, Flora Salim, Du Yong Kim | 2021 | arxiv 2110.11551 |
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