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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Petri Mahonen, Pasi Hakala |
| 1995 |
| arxiv astro-ph/9508019 |
| MONCAE: Multi-Objective Neuroevolution of Convolutional Autoencoders | Daniel Dimanov, Emili Balaguer-Ballester, Colin Singleton | 2021 | arxiv 2106.11914 |
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| Prior Distribution and Model Confidence | Maksim Kazanskii, Artem Kasianov | 2025 | arxiv 2509.05485 |
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| Towards Interpretable Semantic Segmentation via Gradient-weighted Class Activation Mapping | Kira Vinogradova, Alexandr Dibrov, Gene Myers | 2020 | arxiv 2002.11434 |
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| Using Multiple Instance Learning to Build Multimodal Representations | Peiqi Wang, William M. Wells, Seth Berkowitz | 2022 | arxiv 2212.05561 |
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| clustering an african hairstyle dataset using pca and k-means | Teffo Phomolo Nicrocia, Owolawi Pius Adewale, Pholo Moanda Diana | 2023 | arxiv 2306.06061 |
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| What Does a TextCNN Learn? | Linyuan Gong, Ruyi Ji | 2018 | arxiv 1801.06287 |
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| Detecting Adversarial Perturbations with Saliency | Chiliang Zhang, Zhimou Yang, Zuochang Ye | 2018 | arxiv 1803.08773 |
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| Neural Network Compression using Transform Coding and Clustering | Thorsten Laude, Yannick Richter, Jörn Ostermann | 2018 | arxiv 1805.07258 |
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| Fast, Better Training Trick -- Random Gradient | Jiakai Wei | 2018 | arxiv 1808.04293 |
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