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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Luping Wang, Bin Liu |
| 2023 |
| arxiv 2304.04554 |
| Unsupervised representation learning with recognition-parametrised probabilistic models | William I.Walker, Hugo Soulat, Changmin Yu | 2022 | arxiv 2209.05661 |
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| Detecting Novelties with Empty Classes | Svenja Uhlemeyer, Julian Lienen, Eyke Hüllermeier | 2023 | arxiv 2305.00983 |
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| Universal Adaptive Data Augmentation | Xiaogang Xu, Hengshuang Zhao | 2022 | arxiv 2207.06658 |
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| Semantic Segmentation using Vision Transformers: A survey | Hans Thisanke, Chamli Deshan, Kavindu Chamith | 2023 | arxiv 2305.03273 |
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| Creative Discovery using QD Search | Jon McCormack, Camilo Cruz Gambardella, Stephen James Krol | 2023 | arxiv 2305.04462 |
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| Understanding Gaussian Attention Bias of Vision Transformers Using Effective Receptive Fields | Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang | 2023 | arxiv 2305.04722 |
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| mAedesID: Android Application for Aedes Mosquito Species Identification using Convolutional Neural Network | G. Jeyakodi, Trisha Agarwal, P. Shanthi Bala | 2023 | arxiv 2305.07664 |
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| SUVR: A Search-based Approach to Unsupervised Visual Representation Learning | Yi-Zhan Xu, Chih-Yao Chen, Cheng-Te Li | 2023 | arxiv 2305.14754 |
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| SPENSER: Towards a NeuroEvolutionary Approach for Convolutional Spiking Neural Networks | Henrique Branquinho, Nuno Lourenço, Ernesto Costa | 2023 | arxiv 2305.10987 |
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