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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2019 |
| arxiv 1904.01160 |
| Neural Inheritance Relation Guided One-Shot Layer Assignment Search | Rang Meng, Weijie Chen, Di Xie | 2020 | arxiv 2002.12580 |
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| CUP: Cluster Pruning for Compressing Deep Neural Networks | Rahul Duggal, Cao Xiao, Richard Vuduc | 2019 | arxiv 1911.08630 |
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| Axial Attention in Multidimensional Transformers | Jonathan Ho, Nal Kalchbrenner, Dirk Weissenborn | 2019 | arxiv 1912.12180 |
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| Adversarial Robustness through Local Linearization | Chongli Qin, James Martens, Sven Gowal | 2019 | arxiv 1907.02610 |
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| Towards Lossless Binary Convolutional Neural Networks Using Piecewise Approximation | Baozhou Zhu, Zaid Al-Ars, Wei Pan | 2020 | arxiv 2008.03520 |
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| Pre-defined Sparsity for Low-Complexity Convolutional Neural Networks | Souvik Kundu, Mahdi Nazemi, Massoud Pedram | 2020 | arxiv 2001.10710 |
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| The Curious Robot: Learning Visual Representations via Physical Interactions | Lerrel Pinto, Dhiraj Gandhi, Yuanfeng Han | 2016 | arxiv 1604.01360 |
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| Associative embeddings for large-scale knowledge transfer with self-assessment | Alexander Vezhnevets, Vittorio Ferrari | 2013 | arxiv 1312.3240 |
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| MimicDiffusion: Purifying Adversarial Perturbation via Mimicking Clean Diffusion Model | Kaiyu Song, Hanjiang Lai | 2023 | arxiv 2312.04802 |
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| Soft Augmentation for Image Classification | Yang Liu, Shen Yan, Laura Leal-Taixé | 2022 | arxiv 2211.04625 |
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