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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Chuanguang Yang, Zhulin An, Linhang Cai |
| 2021 |
| arxiv 2104.12565 |
| Dataset Distillation with Infinitely Wide Convolutional Networks | Timothy Nguyen, Roman Novak, Lechao Xiao | 2021 | arxiv 2107.13034 |
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| MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption | Alexander Bartler, Andre Bühler, Felix Wiewel | 2021 | arxiv 2103.16201 |
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| ERS: a novel comprehensive endoscopy image dataset for machine learning, compliant with the MST 3.0 specification | Jan Cychnerski, Tomasz Dziubich, Adam Brzeski | 2022 | arxiv 2201.08746 |
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| Discovering Parametric Activation Functions | Garrett Bingham, Risto Miikkulainen | 2020 | arxiv 2006.03179 |
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| Signal Strength and Noise Drive Feature Preference in CNN Image Classifiers | Max Wolff, Stuart Wolff | 2022 | arxiv 2201.08893 |
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| Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters | Wei Zhu, Qiang Qiu, Robert Calderbank | 2019 | arxiv 1909.11193 |
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| Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers | Grzegorz Jacenków, Alison Q. O'Neil, Sotirios A. Tsaftaris | 2022 | arxiv 2202.06076 |
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| Tensor Composition Net for Visual Relationship Prediction | Yuting Qiang, Yongxin Yang, Xueting Zhang | 2020 | arxiv 2012.05473 |
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| Image Difference Captioning with Pre-training and Contrastive Learning | Linli Yao, Weiying Wang, Qin Jin | 2022 | arxiv 2202.04298 |
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