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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2024 |
| arxiv 2411.01025 |
| Adapting the Biological SSVEP Response to Artificial Neural Networks | Emirhan Böge, Yasemin Gunindi, Erchan Aptoula | 2024 | arxiv 2411.10084 |
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| MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map | Yuhong Chou, Man Yao, Kexin Wang | 2024 | arxiv 2411.10741 |
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| Contextual Checkerboard Denoise -- A Novel Neural Network-Based Approach for Classification-Aware OCT Image Denoising | Md. Touhidul Islam, Md. Abtahi M. Chowdhury, Sumaiya Salekin | 2024 | arxiv 2411.19549 |
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| Google is all you need: Semi-Supervised Transfer Learning Strategy For Light Multimodal Multi-Task Classification Model | Haixu Liu, Penghao Jiang, Zerui Tao | 2025 | arxiv 2501.01611 |
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| Learning the Regularization Strength for Deep Fine-Tuning via a Data-Emphasized Variational Objective | Ethan Harvey, Mikhail Petrov, Michael C. Hughes | 2024 | arxiv 2410.19675 |
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| DPA: Dual Prototypes Alignment for Unsupervised Adaptation of Vision-Language Models | Eman Ali, Sathira Silva, Muhammad Haris Khan | 2024 | arxiv 2408.08855 |
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| Token Cropr: Faster ViTs for Quite a Few Tasks | Benjamin Bergner, Christoph Lippert, Aravindh Mahendran | 2024 | arxiv 2412.00965 |
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| Break a Lag: Triple Exponential Moving Average for Enhanced Optimization | Roi Peleg, Yair Smadar, Teddy Lazebnik | 2023 | arxiv 2306.01423 |
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| torchdistill Meets Hugging Face Libraries for Reproducible, Coding-Free Deep Learning Studies: A Case Study on NLP | Yoshitomo Matsubara | 2023 | arxiv 2310.17644 |
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| Few-shot Algorithm Assurance | Dang Nguyen, Sunil Gupta | 2024 | arxiv 2412.20275 |
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