Proceedings of the 30th International Conference on Machine Learning, ICML 2013, Atlanta, GA, USA, 16-21 June 2013

2013

10 citations recorded by the source corpus.

Citations in the corpus

• Group Equivariant Convolutional Networks (2016, neutral): “…7.04 1.22M ResNet44 Z2 9.45 5.61 2.64M p4m 6.46 4.94 2.62M To the best of our knowledge, thep4m-CNN outperforms all published results on plain CIFAR10 (Wan et al., 2013; Goodfellow et al., 2013; Lin et al., 2014; Lee et al., 2015b; Srivastava et al., 2015; Clevert et al., 2015; Lee et al., 2015a).”
• Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization (2016, methodology): “This idea is borrowed from the Max-pooling layer Goodfellow et al. (2013).”