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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2023 |
| arxiv 2305.17791 |
| Addressing Discrepancies in Semantic and Visual Alignment in Neural Networks | Natalie Abreu, Nathan Vaska, Victoria Helus | 2023 | arxiv 2306.01148 |
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| Efficient Multi-Scale Attention Module with Cross-Spatial Learning | Daliang Ouyang, Su He, Guozhong Zhang | 2023 | arxiv 2305.13563 |
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| The Forward-Forward Algorithm as a feature extractor for skin lesion classification: A preliminary study | Abel Reyes-Angulo, Sidike Paheding | 2023 | arxiv 2307.00617 |
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| Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts | Johannes Jakubik, Daniel Weber, Patrick Hemmer | 2023 | arxiv 2307.03003 |
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| Learning Interpretable Models Through Multi-Objective Neural Architecture Search | Zachariah Carmichael, Tim Moon, Sam Ade Jacobs | 2021 | arxiv 2112.08645 |
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| Deblurring Masked Autoencoder is Better Recipe for Ultrasound Image Recognition | Qingbo Kang, Jun Gao, Kang Li | 2023 | arxiv 2306.08249 |
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| Quantized Feature Distillation for Network Quantization | Ke Zhu, Yin-Yin He, Jianxin Wu | 2023 | arxiv 2307.10638 |
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| Data-Centric Diet: Effective Multi-center Dataset Pruning for Medical Image Segmentation | Yongkang He, Mingjin Chen, Zhijing Yang | 2023 | arxiv 2308.01189 |
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| Improved Activation Clipping for Universal Backdoor Mitigation and Test-Time Detection | Hang Wang, Zhen Xiang, David J. Miller | 2023 | arxiv 2308.04617 |
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| ACLS: Adaptive and Conditional Label Smoothing for Network Calibration | Hyekang Park, Jongyoun Noh, Youngmin Oh | 2023 | arxiv 2308.11911 |
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