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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Yifan Liu, Changyong Shun, Jingdong Wang |
| 2019 |
| arxiv 1903.04197 |
| Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation | Dmitry Molchanov, Alexander Lyzhov, Yuliya Molchanova | 2020 | arxiv 2002.09103 |
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| Learning the Prediction Distribution for Semi-Supervised Learning with Normalising Flows | Ivana Balažević, Carl Allen, Timothy Hospedales | 2020 | arxiv 2007.02745 |
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| CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution Layers | Jinpyo Kim, Wooekun Jung, Hyungmo Kim | 2020 | arxiv 2007.10588 |
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| A Dataset and Benchmarks for Multimedia Social Analysis | Bofan Xue, David Chan, John Canny | 2020 | arxiv 2006.08335 |
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| Stochasticity in Neural ODEs: An Empirical Study | Viktor Oganesyan, Alexandra Volokhova, Dmitry Vetrov | 2020 | arxiv 2002.09779 |
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| TaskNorm: Rethinking Batch Normalization for Meta-Learning | John Bronskill, Jonathan Gordon, James Requeima | 2020 | arxiv 2003.03284 |
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| Evaluation of Big Data based CNN Models in Classification of Skin Lesions with Melanoma | Prasitthichai Naronglerdrit, Iosif Mporas | 2020 | arxiv 2007.05446 |
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| Multimodal brain tumor classification | Marvin Lerousseau, Eric Deutsh, Nikos Paragios | 2020 | arxiv 2009.01592 |
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| A Novel ANN Structure for Image Recognition | Shilpa Mayannavar, Uday Wali, V M Aparanji | 2020 | arxiv 2010.04586 |
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