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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Mingyu Xing, Lechao Cheng, Shengeng Tang |
| 2025 |
| arxiv 2502.08075 |
| Efficient Multi-Model Fusion with Adversarial Complementary Representation Learning | Zuheng Kang, Yayun He, Jianzong Wang | 2024 | arxiv 2404.15704 |
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| Improved Decision Module Selection for Hierarchical Inference in Resource-Constrained Edge Devices | Adarsh Prasad Behera, Roberto Morabito, Joerg Widmer | 2024 | arxiv 2406.09424 |
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| Multi-Objective Neural Architecture Search for In-Memory Computing | Md Hasibul Amin, Mohammadreza Mohammadi, Ramtin Zand | 2024 | arxiv 2406.06746 |
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| Exploring Deep Learning Methods for Classification of SAR Images: Towards NextGen Convolutions via Transformers | Aakash Singh, Vivek Kumar Singh | 2023 | arxiv 2303.15852 |
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| RadTex: Learning Efficient Radiograph Representations from Text Reports | Keegan Quigley, Miriam Cha, Ruizhi Liao | 2022 | arxiv 2208.03218 |
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| Evidence-empowered Transfer Learning for Alzheimer's Disease | Kai Tzu-iunn Ong, Hana Kim, Minjin Kim | 2023 | arxiv 2303.01105 |
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| Image Captioners Sometimes Tell More Than Images They See | Honori Udo, Takafumi Koshinaka | 2023 | arxiv 2305.02932 |
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| OCD: Learning to Overfit with Conditional Diffusion Models | Shahar Lutati, Lior Wolf | 2022 | arxiv 2210.00471 |
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| Function-Space Regularization for Deep Bayesian Classification | Jihao Andreas Lin, Joe Watson, Pascal Klink | 2023 | arxiv 2307.06055 |
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| Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays | Benjamin Bergner, Csaba Rohrer, Aiham Taleb | 2021 | arxiv 2112.09694 |
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