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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Antonios Makris, Christos Dousis, Emmanouil Kritharakis |
| 2026 |
| arxiv 2605.11010 |
| spectrai: A deep learning framework for spectral data | Conor C. Horgan, Mads S. Bergholt | 2021 | arxiv 2108.07595 |
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| Disentanglement based Active Learning | Silpa Vadakkeeveetil Sreelatha, Adarsh Kappiyath, Sumitra S | 2019 | arxiv 1912.07018 |
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| VirTex: Learning Visual Representations from Textual Annotations | Karan Desai, Justin Johnson | 2020 | arxiv 2006.06666 |
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| Distillation from heterogeneous unlabeled collections | Jean-Michel Begon, Pierre Geurts | 2022 | arxiv 2201.06507 |
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| Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations | Amin Ghiasi, Hamid Kazemi, Steven Reich | 2022 | arxiv 2201.12961 |
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| Multi-task UNet: Jointly Boosting Saliency Prediction and Disease Classification on Chest X-ray Images | Hongzhi Zhu, Robert Rohling, Septimiu Salcudean | 2022 | arxiv 2202.07118 |
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| The Uncanny Similarity of Recurrence and Depth | Avi Schwarzschild, Arjun Gupta, Amin Ghiasi | 2021 | arxiv 2102.11011 |
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| Searching Intrinsic Dimensions of Vision Transformers | Fanghui Xue, Biao Yang, Yingyong Qi | 2022 | arxiv 2204.07722 |
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| SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data Augmentation | Karim Hammoudi, Adnane Cabani, Bouthaina Slika | 2022 | arxiv 2204.08458 |
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