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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Sina Jandaghi Semnani, Hoormazd Rezaei |
| 2021 |
| arxiv 2105.06060 |
| Seeing in Words: Learning to Classify through Language Bottlenecks | Khalid Saifullah, Yuxin Wen, Jonas Geiping | 2023 | arxiv 2307.00028 |
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| One Picture is Worth a Thousand Words: A New Wallet Recovery Process | Hervé Chabannne, Vincent Despiegel, Linda Guiga | 2022 | arxiv 2205.02511 |
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| Training Noise Token Pruning | Mingxing Rao, Bohan Jiang, Daniel Moyer | 2024 | arxiv 2411.18092 |
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| Self-Supervised Visual Representations Learning by Contrastive Mask Prediction | Yucheng Zhao, Guangting Wang, Chong Luo | 2021 | arxiv 2108.07954 |
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| Self-Denoising Neural Networks for Few Shot Learning | Steven Schwarcz, Sai Saketh Rambhatla, Rama Chellappa | 2021 | arxiv 2110.13386 |
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| ResKD: Residual-Guided Knowledge Distillation | Xuewei Li, Songyuan Li, Bourahla Omar | 2020 | arxiv 2006.04719 |
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| Contrastive Learning with Stronger Augmentations | Xiao Wang, Guo-Jun Qi | 2021 | arxiv 2104.07713 |
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| TATL: Task Agnostic Transfer Learning for Skin Attributes Detection | Duy M. H. Nguyen, Thu T. Nguyen, Huong Vu | 2021 | arxiv 2104.01641 |
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| Advancing Deep Residual Learning by Solving the Crux of Degradation in Spiking Neural Networks | Yifan Hu, Yujie Wu, Lei Deng | 2021 | arxiv 2201.07209 |
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| Learning Contrastive Representation for Semantic Correspondence | Taihong Xiao, Sifei Liu, Shalini De Mello | 2021 | arxiv 2109.10967 |
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