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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Co-training $2^L$ Submodels for Visual Recognition |
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| Hugo Touvron, Matthieu Cord, Maxime Oquab |
| 2022 |
| arxiv 2212.04884 |
| Hyperspherical Loss-Aware Ternary Quantization | Dan Liu, Xue Liu | 2022 | arxiv 2212.12649 |
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| Hamiltonian Deep Neural Networks Guaranteeing Non-vanishing Gradients by Design | Clara Lucía Galimberti, Luca Furieri, Liang Xu | 2021 | arxiv 2105.13205 |
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| Deep Axial Hypercomplex Networks | Nazmul Shahadat, Anthony S. Maida | 2023 | arxiv 2301.04626 |
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| Improving Axial-Attention Network Classification via Cross-Channel Weight Sharing | Nazmul Shahadat, Anthony S. Maida | 2021 | arxiv 2110.01185 |
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| MultiNet with Transformers: A Model for Cancer Diagnosis Using Images | Hosein Barzekar, Yash Patel, Ling Tong | 2023 | arxiv 2301.09007 |
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| FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting | Jianqing Zhu, Juncai He, Lian Zhang | 2023 | arxiv 2302.00962 |
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| Reversible Vision Transformers | Karttikeya Mangalam, Haoqi Fan, Yanghao Li | 2023 | arxiv 2302.04869 |
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| Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels? | Cheng-En Wu, Yu Tian, Haichao Yu | 2023 | arxiv 2307.11978 |
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| Block-Wise Encryption for Reliable Vision Transformer models | Hitoshi Kiya, Ryota Iijima, Teru Nagamori | 2023 | arxiv 2308.07612 |
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