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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2021 |
| arxiv 2103.08497 |
| Generative Hierarchical Features from Synthesizing Images | Yinghao Xu, Yujun Shen, Jiapeng Zhu | 2020 | arxiv 2007.10379 |
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| Improved OOD Generalization via Adversarial Training and Pre-training | Mingyang Yi, Lu Hou, Jiacheng Sun | 2021 | arxiv 2105.11144 |
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| Semi-Supervised Classification and Segmentation on High Resolution Aerial Images | Sahil Khose, Abhiraj Tiwari, Ankita Ghosh | 2021 | arxiv 2105.08655 |
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| From Gradient Clipping to Structural Refinement: Improving DPSGD for Medical Image Segmentation | Shiva Parsarad, Parth Shandilya, Isabel Wagner | 2026 | arxiv 2606.21763 |
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| Flatness-Aware Stochastic Gradient Langevin Dynamics | Stefano Bruno, Youngsik Hwang, Jaehyeon An | 2025 | arxiv 2510.02174 |
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| Rectified LpJEPA: Joint-Embedding Predictive Architectures with Sparse and Maximum-Entropy Representations | Yilun Kuang, Yash Dagade, Tim G. J. Rudner | 2026 | arxiv 2602.01456 |
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| FedHENet: A Frugal Federated Learning Framework for Heterogeneous Environments | Alejandro Dopico-Castro, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas | 2026 | arxiv 2602.13024 |
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| Hyperbolic Busemann Neural Networks | Ziheng Chen, Bernhard Schölkopf, Nicu Sebe | 2026 | arxiv 2602.18858 |
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| Order Matters: Improving Domain Adaptation by Reordering Data | Andrea Napoli, Paul White | 2026 | arxiv 2605.05084 |
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| Aligned explanations in neural networks | Corentin Lobet, Francesca Chiaromonte | 2026 | arxiv 2601.04378 |
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