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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Adversarial Dependence Minimization | Pierre-François De Plaen, Tinne Tuytelaars, Marc Proesmans | 2025 | arxiv 2502.03227 |
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| Challenges in Evaluating Explanation Methods for Static and Evolving Data | Jerzy Stefanowski | 2026 | arxiv 2608.06351 |
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| QReLU and m-QReLU: Two novel quantum activation functions to aid medical diagnostics | L. Parisi, D. Neagu, R. Ma | 2020 | arxiv 2010.08031 |
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| Trade-offs between membership privacy & adversarially robust learning | Jamie Hayes | 2020 | arxiv 2006.04622 |
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| Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells | Gengchen Mai, Krzysztof Janowicz, Bo Yan | 2020 | arxiv 2003.00824 |
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| Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization | Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das | 2016 | arxiv 1610.02391 |
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| 1 bit is all we need: binary normalized neural networks | Eduardo Lobo Lustoda Cabral, Paulo Pirozelli, Larissa Driemeier | 2025 | arxiv 2509.07025 |
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| A Domain Decomposition-Based CNN-DNN Architecture for Model Parallel Training Applied to Image Recognition Problems | Axel Klawonn, Martin Lanser, Janine Weber | 2023 | arxiv 2302.06564 |
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| Towards robust vision by multi-task learning on monkey visual cortex | Shahd Safarani, Arne Nix, Konstantin Willeke | 2021 | arxiv 2107.14344 |
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| EMDS-5: Environmental Microorganism Image Dataset Fifth Version for Multiple Image Analysis Tasks | Zihan Li, Chen Li, Yudong Yao | 2021 | arxiv 2102.10370 |
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