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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Local Margin Restoration for Test-Time Adaptation of Vision-Language Models |
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| Yan Huang, Guowei Wang, Xu Wang |
| 2026 |
| arxiv 2608.02216 |
| Teacher-Feature Drifting: One-Step Diffusion Distillation with Pretrained Diffusion Representations | Yuan Zhang, Chenyi Li, Haodong Yu | 2026 | arxiv 2605.07327 |
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| Self-Routing: Parameter-Free Expert Routing from Hidden States | Jama Hussein Mohamud, Drew Wagner, Mirco Ravanelli | 2026 | arxiv 2604.00421 |
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| A Dense CNN approach for skin lesion classification | Pierluigi Carcagnì, Andrea Cuna, Cosimo Distante | 2018 | arxiv 1807.06416 |
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| ChoiceNet: CNN learning through choice of multiple feature map representations | Farshid Rayhan, Aphrodite Galata, Timothy F. Cootes | 2019 | arxiv 1904.09472 |
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| NeurIPS 2019 Disentanglement Challenge: Improved Disentanglement through Aggregated Convolutional Feature Maps | Maximilian Seitzer | 2020 | arxiv 2002.10003 |
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| Replacing softmax with ReLU in Vision Transformers | Mitchell Wortsman, Jaehoon Lee, Justin Gilmer | 2023 | arxiv 2309.08586 |
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| Deep learning for class-generic object detection | Brody Huval, Adam Coates, Andrew Ng | 2013 | arxiv 1312.6885 |
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| Maximizing Audio Event Detection Model Performance on Small Datasets Through Knowledge Transfer, Data Augmentation, And Pretraining: An Ablation Study | Daniel Tompkins, Kshitiz Kumar, Jian Wu | 2022 | arxiv 2202.03514 |
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| PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction | Sangdon Park, Osbert Bastani, Nikolai Matni | 2019 | arxiv 2001.00106 |
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