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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Shuai Wang, Zhi Tian, Weilin Huang |
| 2025 |
| arxiv 2504.05741 |
| MIO : Mutual Information Optimization using Self-Supervised Binary Contrastive Learning | Siladittya Manna, Umapada Pal, Saumik Bhattacharya | 2021 | arxiv 2111.12664 |
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| Randomness Helps Rigor: A Probabilistic Learning Rate Scheduler Bridging Theory and Deep Learning Practice | Dahlia Devapriya, Thulasi Tholeti, Janani Suresh | 2024 | arxiv 2407.07613 |
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| Distributional Dataset Distillation with Subtask Decomposition | Tian Qin, Zhiwei Deng, David Alvarez-Melis | 2024 | arxiv 2403.00999 |
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| FeTrIL++: Feature Translation for Exemplar-Free Class-Incremental Learning with Hill-Climbing | Eduard Hogea, Adrian Popescu, Darian Onchis | 2024 | arxiv 2403.07406 |
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| Robust width: A lightweight and certifiable adversarial defense | Jonathan Peck, Bart Goossens | 2024 | arxiv 2405.15971 |
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| Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation | Peize Sun, Yi Jiang, Shoufa Chen | 2024 | arxiv 2406.06525 |
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| Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions | Fei Du, Peng Yang, Qi Jia | 2023 | arxiv 2305.08661 |
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| VanillaKD: Revisit the Power of Vanilla Knowledge Distillation from Small Scale to Large Scale | Zhiwei Hao, Jianyuan Guo, Kai Han | 2023 | arxiv 2305.15781 |
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| Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection | Luping Liu, Yi Ren, Xize Cheng | 2022 | arxiv 2211.11255 |
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