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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How | Sebastian Pineda Arango, Fabio Ferreira, Arlind Kadra | 2023 | arxiv 2306.03828 |
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| Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape | Tiejin Chen, Wenwang Huang, Linsey Pang | 2024 | arxiv 2403.06013 |
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| On the Convergence of Continual Learning with Adaptive Methods | Seungyub Han, Yeongmo Kim, Taehyun Cho | 2024 | arxiv 2404.05555 |
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| Asymmetric Polynomial Loss For Multi-Label Classification | Yusheng Huang, Jiexing Qi, Xinbing Wang | 2023 | arxiv 2304.05361 |
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| From Online Behaviours to Images: A Novel Approach to Social Bot Detection | Edoardo Di Paolo, Marinella Petrocchi, Angelo Spognardi | 2023 | arxiv 2304.07535 |
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| Hyperbolic Geometry in Computer Vision: A Survey | Pengfei Fang, Mehrtash Harandi, Trung Le | 2023 | arxiv 2304.10764 |
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| Two-in-One: A Model Hijacking Attack Against Text Generation Models | Wai Man Si, Michael Backes, Yang Zhang | 2023 | arxiv 2305.07406 |
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| Learning More Discriminative Local Descriptors for Few-shot Learning | Qijun Song, Siyun Zhou, Liwei Xu | 2023 | arxiv 2305.08721 |
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| Sorted Convolutional Network for Achieving Continuous Rotational Invariance | Hanlin Mo, Guoying Zhao | 2023 | arxiv 2305.14462 |
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| Saturated Non-Monotonic Activation Functions | Junjia Chen, Zhibin Pan | 2023 | arxiv 2305.07537 |
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