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We propose a retrieval-augmented convolutional network and propose to train it with local mixup, a novel variant of the recently proposed mixup algorithm.
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Vincent, Pascal, Larochelle, Hugo, Lajoie, Isabelle, Bengio, Yoshua, and Manzagol, Pierre-Antoine · 2010
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Reading digits in natural images with unsupervised feature learning
Netzer, Yuval, Wang, Tao, Coates, Adam, Bissacco, Alessandro, Wu, Bo, and Ng, Andrew Y · 2011
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Krizhevsky, Alex, Sutskever, Ilya, and Hinton, Geoffrey E · 2012
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Bengio, Yoshua, Mesnil, Grégoire, Dauphin, Yann, and Rifai, Salah · 2013
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Kingma, Diederik P and Welling, Max · 2013
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Szegedy, Christian, Zaremba, Wojciech, Sutskever, Ilya, Bruna, Joan, Erhan, Dumitru, Goodfellow, Ian, and Fergus, Rob · 2013
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Guo, Chuan, Rana, Mayank, Cisse, Moustapha, and van der Maaten, Laurens · 2017
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Generating sentences by editing prototypes
Guu, Kelvin, Hashimoto, Tatsunori B, Oren, Yonatan, and Liang, Percy · 2017
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Billion-scale similarity search with gpus
Johnson, Jeff, Douze, Matthijs, and Jégou, Hervé · 2017
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Generative adversarial trainer: Defense to adversarial perturbations with gan
Lee, Hyeungill, Han, Sungyeob, and Lee, Jungwoo · 2017
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No need to worry about adversarial examples in object detection in autonomous vehicles
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Radford, Alec, Metz, Luke, and Chintala, Soumith · 2015
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Dziugaite, Gintare Karolina, Ghahramani, Zoubin, and Roy, Daniel M · 2016
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k k -nearest neighbor augmented neural networks for text classification
Wang, Zhiguo, Hamza, Wael, and Song, Linfeng · 2017
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mixup: Beyond empirical risk minimization
Zhang, Hongyi, Cisse, Moustapha, Dauphin, Yann N, and Lopez-Paz, David · 2017
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Certifiable distributional robustness with principled adversarial training
Aman Sinha, Hongseok Namkoong, John Duchi · 2018
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Memory-based parameter adaptation
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