Discriminative template learning in group-convolutional networks for invariant speech representations

By Chiyuan Zhang, Stephen Voinea, Georgios Evangelopoulos, Lorenzo Rosasco, Tomaso A. Poggio. 2015

16 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. David W. Romero
2. Erik J. Bekkers
3. J. Tomczak
4. Mark Hoogendoorn
5. Maurice Weiler
6. Fred A. Hamprecht
7. Martin Storath
8. Daniel E. Worrall

Citations in the corpus

• Learning Steerable Filters for Rotation Equivariant CNNs (2017, background): “Invariance to specific transformations can be achieved by applying them to the input and subsequently pooling their responses [11, 12, 13].”
• Wavelet Networks: Scale Equivariant Learning From Raw Waveforms (2020, background): “[82] constructed a shallow network in which the input signal was perturbed by several vocal tract length warpings, which lead to enhanced generalization.”