73 citations · 242 across the 17 of their papers we have counts for
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cs.LG2021
Noisy Feature Mixup
Soon Hoe Lim, N. Benjamin Erichson, Francisco Utrera +2
We introduce Noisy Feature Mixup (NFM), an inexpensive yet effective method for data augmentation that combines the best of interpolation based training and noise injection schemes…
stat.ML2021★ 6 cited
Noisy Recurrent Neural Networks
Soon Hoe Lim, N. Benjamin Erichson, Liam Hodgkinson +1
We provide a general framework for studying recurrent neural networks (RNNs) trained by injecting noise into hidden states. Specifically, we consider RNNs that can be viewed as dis…