7 citations · 11 across the 5 of their papers we have counts for
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cs.LG2022★ 4 cited
Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets
Deborah Pereg, Martin Villiger, Brett Bouma +1
The statistical supervised learning framework assumes an input-output set with a joint probability distribution that is reliably represented by the training dataset. The learner is…
cs.LG2021★ 7 cited
Convolutional Sparse Coding Fast Approximation with Application to Seismic Reflectivity Estimation
Deborah Pereg, Israel Cohen, Anthony A. Vassiliou
In sparse coding, we attempt to extract features of input vectors, assuming that the data is inherently structured as a sparse superposition of basic building blocks. Similarly, ne…