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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Illia Volkov, Nikita Kisel, Klara Janouskova |
| 2025 |
| arxiv 2509.09311 |
| The SkipSponge Attack: Sponge Weight Poisoning of Deep Neural Networks | Jona te Lintelo, Stefanos Koffas, Stjepan Picek | 2024 | arxiv 2402.06357 |
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| Large Language Models Implicitly Learn to See and Hear Just By Reading | Prateek Verma, Mert Pilanci | 2025 | arxiv 2505.17091 |
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| A Stable Whitening Optimizer for Efficient Neural Network Training | Kevin Frans, Sergey Levine, Pieter Abbeel | 2025 | arxiv 2506.07254 |
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| TernaryCLIP: Efficiently Compressing Vision-Language Models with Ternary Weights and Distilled Knowledge | Shu-Hao Zhang, Wei-Cheng Tang, Chen Wu | 2025 | arxiv 2510.21879 |
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| Weak-to-Strong Generalization under Distribution Shifts | Myeongho Jeon, Jan Sobotka, Suhwan Choi | 2025 | arxiv 2510.21332 |
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| Comparing LBP, HOG and Deep Features for Classification of Histopathology Images | Taha J. Alhindi, Shivam Kalra, Ka Hin Ng | 2018 | arxiv 1805.05837 |
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| Energy-Efficient Classification at the Wireless Edge with Reliability Guarantees | Mattia Merluzzi, Claudio Battiloro, Paolo Di Lorenzo | 2022 | arxiv 2204.10399 |
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| DeepNoise: Signal and Noise Disentanglement based on Classifying Fluorescent Microscopy Images via Deep Learning | Sen Yang, Tao Shen, Yuqi Fang | 2022 | arxiv 2209.05772 |
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| HyperKon: A Self-Supervised Contrastive Network for Hyperspectral Image Analysis | Daniel L Ayuba, Belen Marti-Cardona, Jean-Yves Guillemaut | 2023 | arxiv 2311.15459 |
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