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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Ramprasaath R. Selvaraju, Karan Desai, Justin Johnson |
| 2020 |
| arxiv 2012.04630 |
| Learnable Heterogeneous Convolution: Learning both topology and strength | Rongzhen Zhao, Zhenzhi Wu, Qikun Zhang | 2023 | arxiv 2301.05440 |
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| Evolving Evocative 2D Views of Generated 3D Objects | Eric Chu | 2021 | arxiv 2111.04839 |
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| Skin Lesion Classification Using Deep Multi-scale Convolutional Neural Networks | Terrance DeVries, Dhanesh Ramachandram | 2017 | arxiv 1703.01402 |
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| Long-Short Transformer: Efficient Transformers for Language and Vision | Chen Zhu, Wei Ping, Chaowei Xiao | 2021 | arxiv 2107.02192 |
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| Cyclic Differentiable Architecture Search | Hongyuan Yu, Houwen Peng, Yan Huang | 2020 | arxiv 2006.10724 |
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| Learning Deep Visual Object Models From Noisy Web Data: How to Make it Work | Nizar Massouh, Francesca Babiloni, Tatiana Tommasi | 2017 | arxiv 1702.08513 |
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| Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs | Yifan Yang, Qijing Huang, Bichen Wu | 2018 | arxiv 1811.08634 |
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| FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search | Jiemin Fang, Yuzhu Sun, Qian Zhang | 2020 | arxiv 2006.12986 |
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| MEAL: Multi-Model Ensemble via Adversarial Learning | Zhiqiang Shen, Zhankui He, Xiangyang Xue | 2018 | arxiv 1812.02425 |
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