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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Quantum mechanical framework for quantization-based optimization: from Gradient flow to Schroedinger equation | Jinwuk Seok, Changsik Cho | 2026 | arxiv 2603.11536 |
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| On Linear Separability of the MNIST Handwritten Digits Dataset | Ákos Hajnal | 2026 | arxiv 2603.12850 |
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| Quantum-Inspired Robust and Scalable SAR Object Classification | Maximilian Scharf, Marco Trenti, Felix Bock | 2026 | arxiv 2604.25755 |
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| FAAST: Forward-Only Associative Learning via Closed-Form Fast Weights for Test-Time Supervised Adaptation | Guangsheng Bao, Hongbo Zhang, Han Cui | 2026 | arxiv 2605.04651 |
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| Hidden costs for inference with deep network on embedded system devices | Chankyu Lee, Woohyun Choi, Sangwook Park | 2026 | arxiv 2601.01698 |
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| SVD-Preconditioned Gradient Descent Method for Solving Nonlinear Least Squares Problems | Zhipeng Chang, Wenrui Hao, Nian Liu | 2026 | arxiv 2602.09057 |
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| Parallel Grid Pooling for Data Augmentation | Akito Takeki, Daiki Ikami, Go Irie | 2018 | arxiv 1803.11370 |
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| POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models | Korawat Tanwisuth, Shujian Zhang, Huangjie Zheng | 2023 | arxiv 2305.00350 |
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| Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information | Mingkun Zhang, Jianing Li, Wei Chen | 2024 | arxiv 2408.05900 |
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| Optimal Task Order for Continual Learning of Multiple Tasks | Ziyan Li, Naoki Hiratani | 2025 | arxiv 2502.03350 |
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