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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2017 |
| arxiv 1709.03582 |
| GTAdam: Gradient Tracking with Adaptive Momentum for Distributed Online Optimization | Guido Carnevale, Francesco Farina, Ivano Notarnicola | 2020 | arxiv 2009.01745 |
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| A non-monotone trust-region method with noisy oracles and additional sampling | Natasa Krejic, Natasa Krklec Jerinkic, Angeles Martinez | 2023 | arxiv 2307.10038 |
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| fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functions | Alireza Afzal Aghaei | 2024 | arxiv 2406.07456 |
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| MgNet: A Unified Framework of Multigrid and Convolutional Neural Network | Juncai He, Jinchao Xu | 2019 | arxiv 1901.10415 |
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| Effective Dimension Aware Fractional-Order Stochastic Gradient Descent for Convex Optimization Problems | Mohammad Partohaghighi, Roummel Marcia, YangQuan Chen | 2025 | arxiv 2503.13764 |
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| An iterative Jacobi-like algorithm to compute a few sparse approximate eigenvectors | Cristian Rusu | 2021 | arxiv 2105.14642 |
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| Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks | Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Arbeláez | 2017 | arxiv 1701.04658 |
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| Towards well-specified semi-supervised model-based classifiers via structural adaptation | Zhaocai Sun, William K. Cheung, Xiaofeng Zhang | 2017 | arxiv 1705.00597 |
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| Deep View-Sensitive Pedestrian Attribute Inference in an end-to-end Model | M. Saquib Sarfraz, Arne Schumann, Yan Wang | 2017 | arxiv 1707.06089 |
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