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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2021 |
| arxiv 2105.04104 |
| Augment & Valuate : A Data Enhancement Pipeline for Data-Centric AI | Youngjune Lee, Oh Joon Kwon, Haeju Lee | 2021 | arxiv 2112.03837 |
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| Joint Device-Edge Inference over Wireless Links with Pruning | Mikolaj Jankowski, Deniz Gunduz, Krystian Mikolajczyk | 2020 | arxiv 2003.02027 |
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| REP: Resource-Efficient Prompting for Rehearsal-Free Continual Learning | Sungho Jeon, Xinyue Ma, Kwang In Kim | 2024 | arxiv 2406.04772 |
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| Automatic Recognition of Learning Resource Category in a Digital Library | Soumya Banerjee, Debarshi Kumar Sanyal, Samiran Chattopadhyay | 2023 | arxiv 2401.12220 |
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| Spiking Synaptic Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks | Kazuma Suetake, Takuya Ushimaru, Ryuji Saiin | 2023 | arxiv 2302.01500 |
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| Residual Network based Aggregation Model for Skin Lesion Classification | Yongsheng Pan, Yong Xia | 2018 | arxiv 1807.09150 |
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| Unsupervised part representation by Flow Capsules | Sara Sabour, Andrea Tagliasacchi, Soroosh Yazdani | 2020 | arxiv 2011.13920 |
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| Who's a Good Boy? Reinforcing Canine Behavior in Real-Time using Machine Learning | Jason Stock, Tom Cavey | 2021 | arxiv 2101.02380 |
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| Self-Weighted Ensemble Method to Adjust the Influence of Individual Models based on Reliability | YeongHyeon Park, JoonSung Lee, Wonseok Park | 2021 | arxiv 2104.04120 |
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| Understanding Intrinsic Robustness Using Label Uncertainty | Xiao Zhang, David Evans | 2021 | arxiv 2107.03250 |
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