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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Efficient Tuning Before Low-Bit Post-Training Quantization for Stochastic Gradient Descent-optimized Models | Peng Xia, Junbiao Pang, Muhammad Ayub Sabir | 2026 | arxiv 2607.11359 |
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| VirTex: Learning Visual Representations from Textual Annotations | Karan Desai, Justin Johnson | 2020 | arxiv 2006.06666 |
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| Hierarchical Representations for Efficient Architecture Search | Hanxiao Liu, Karen Simonyan, Oriol Vinyals | 2017 | arxiv 1711.00436 |
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| Estimating Bicycle Route Attractivity from Image Data | Vít Růžička | 2018 | arxiv 1807.03126 |
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| Online Hyper-parameter Learning for Auto-Augmentation Strategy | Chen Lin, Minghao Guo, Chuming Li | 2019 | arxiv 1905.07373 |
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| CSNNs: Unsupervised, Backpropagation-free Convolutional Neural Networks for Representation Learning | Bonifaz Stuhr, Jürgen Brauer | 2020 | arxiv 2001.10388 |
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| Data-Efficient Image Recognition with Contrastive Predictive Coding | Olivier J. Hénaff, Aravind Srinivas, Jeffrey De Fauw | 2019 | arxiv 1905.09272 |
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| Augmenting Model Robustness with Transformation-Invariant Attacks | Houpu Yao, Zhe Wang, Guangyu Nie | 2019 | arxiv 1901.11188 |
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| Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss | Bo-Han Lai, Pin-Han Huang, Bo-Han Kung | 2025 | arxiv 2505.15174 |
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| Diverse Subset Selection via Norm-Based Sampling and Orthogonality | Noga Bar, Raja Giryes | 2024 | arxiv 2406.01086 |
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