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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Alexander Murphy, Michal Danilowski, Soumyajit Chatterjee |
| 2025 |
| arxiv 2510.05635 |
| Selective Output Smoothing Regularization: Regularize Neural Networks by Softening Output Distributions | Xuan Cheng, Tianshu Xie, Xiaomin Wang | 2021 | arxiv 2103.15383 |
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| Fine-Tuning Text-To-Image Diffusion Models for Class-Wise Spurious Feature Generation | AprilPyone MaungMaung, Huy H. Nguyen, Hitoshi Kiya | 2024 | arxiv 2402.08200 |
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| Are Large-scale Datasets Necessary for Self-Supervised Pre-training? | Alaaeldin El-Nouby, Gautier Izacard, Hugo Touvron | 2021 | arxiv 2112.10740 |
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| Large-scale Dataset Pruning with Dynamic Uncertainty | Muyang He, Shuo Yang, Tiejun Huang | 2023 | arxiv 2306.05175 |
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| Open Vocabulary Multi-Label Classification with Dual-Modal Decoder on Aligned Visual-Textual Features | Shichao Xu, Yikang Li, Jenhao Hsiao | 2022 | arxiv 2208.09562 |
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| Academic Torrents: Scalable Data Distribution | Henry Z. Lo, Joseph Paul Cohen | 2016 | arxiv 1603.04395 |
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| CEB Improves Model Robustness | Ian Fischer, Alexander A. Alemi | 2020 | arxiv 2002.05380 |
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| Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification | Kai Yi, Xiaoqian Shen, Yunhao Gou | 2022 | arxiv 2203.01386 |
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| If your data distribution shifts, use self-learning | Evgenia Rusak, Steffen Schneider, George Pachitariu | 2021 | arxiv 2104.12928 |
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| Colorization as a Proxy Task for Visual Understanding | Gustav Larsson, Michael Maire, Gregory Shakhnarovich | 2017 | arxiv 1703.04044 |
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