6 citations · 6 across the 1 of their papers we have counts for
2 papers
cs.LG2020★ 6 cited
Deep Divergence Learning
Kubra Cilingir, Rachel Manzelli, Brian Kulis
Classical linear metric learning methods have recently been extended along two distinct lines: deep metric learning methods for learning embeddings of the data using neural network…
cs.SD2018
Conditioning Deep Generative Raw Audio Models for Structured Automatic Music
Rachel Manzelli, Vijay Thakkar, Ali Siahkamari +1
Existing automatic music generation approaches that feature deep learning can be broadly classified into two types: raw audio models and symbolic models. Symbolic models, which tra…