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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Improving Resnet-9 Generalization Trained on Small Datasets | Omar Mohamed Awad, Habib Hajimolahoseini, Michael Lim | 2023 | arxiv 2309.03965 |
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| SAFE: Finding Sparse and Flat Minima to Improve Pruning | Dongyeop Lee, Kwanhee Lee, Jinseok Chung | 2025 | arxiv 2506.06866 |
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| AdFair-CLIP: Adversarial Fair Contrastive Language-Image Pre-training for Chest X-rays | Chenlang Yi, Zizhan Xiong, Qi Qi | 2025 | arxiv 2506.23467 |
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| FeatureLens: A Highly Generalizable and Interpretable Framework for Detecting Adversarial Examples Based on Image Features | Zhigang Yang, Yuan Liu, Jiawei Zhang | 2025 | arxiv 2512.03625 |
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| DMSANet: Dual Multi Scale Attention Network | Abhinav Sagar | 2021 | arxiv 2106.08382 |
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| 3D Human Pose Estimation with Spatial and Temporal Transformers | Ce Zheng, Sijie Zhu, Matias Mendieta | 2021 | arxiv 2103.10455 |
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| Deep Generative Modeling for Protein Design | Alexey Strokach, Philip M. Kim | 2021 | arxiv 2109.13754 |
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| Differentially Private Federated Learning via Inexact ADMM | Minseok Ryu, Kibaek Kim | 2021 | arxiv 2106.06127 |
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| On Direct Distribution Matching for Adapting Segmentation Networks | Georg Pichler, Jose Dolz, Ismail Ben Ayed | 2019 | arxiv 1904.02657 |
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| FedGEMS: Federated Learning of Larger Server Models via Selective Knowledge Fusion | Sijie Cheng, Jingwen Wu, Yanghua Xiao | 2021 | arxiv 2110.11027 |
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