Publications (24)
Similarity measures for vocal-based drum sample retrieval using deep convolutional auto-encoders
Adib Mehrabi, Keunwoo Choi, Simon Dixon +1
Telling Two Distributions Apart: a Tight Characterization
Eyal Even Dar, Mark Sandler
The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Tagging
Keunwoo Choi, George Fazekas, Kyunghyun Cho +1
Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions
Keunwoo Choi, George Fazekas, Mark Sandler
Understanding Music Playlists
Keunwoo Choi, George Fazekas, Mark Sandler
Inverting face embeddings with convolutional neural networks
Andrey Zhmoginov, Mark Sandler
Spectral Visibility Graphs: Application to Similarity of Harmonic Signals
Delia Fano Yela, Dan Stowell, Mark Sandler
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler, Andrew Howard, Menglong Zhu +2
K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning
Pramod Kaushik Mudrakarta, Mark Sandler, Andrey Zhmoginov +1
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
Tien-Ju Yang, Andrew Howard, Bo Chen +5
Does k Matter? k-NN Hubness Analysis for Kernel Additive Modelling Vocal Separation
Delia Fano Yela, Dan Stowell, Mark Sandler
Towards Music Captioning: Generating Music Playlist Descriptions
Keunwoo Choi, George Fazekas, Brian McFee +2
Convolutional Recurrent Neural Networks for Music Classification
Keunwoo Choi, George Fazekas, Mark Sandler +1
Automatic tagging using deep convolutional neural networks
Keunwoo Choi, George Fazekas, Mark Sandler
A Tutorial on Deep Learning for Music Information Retrieval
Keunwoo Choi, György Fazekas, Kyunghyun Cho +1
Frugal Streaming for Estimating Quantiles:One (or two) memory suffices
Qiang Ma, S. Muthukrishnan, Mark Sandler
CycleGAN, a Master of Steganography
Casey Chu, Andrey Zhmoginov, Mark Sandler
Explaining Deep Convolutional Neural Networks on Music Classification
Keunwoo Choi, George Fazekas, Mark Sandler
Interference Reduction in Music Recordings Combining Kernel Additive Modelling and Non-Negative Matrix Factorization
Delia Fano Yela, Sebastian Ewert, Derry FitzGerald +1
Transfer learning for music classification and regression tasks
Keunwoo Choi, György Fazekas, Mark Sandler +1
MnasNet: Platform-Aware Neural Architecture Search for Mobile
Mingxing Tan, Bo Chen, Ruoming Pang +4
On the Importance of Temporal Context in Proximity Kernels: A Vocal Separation Case Study
Delia Fano Yela, Sebastian Ewert, Derry FitzGerald +1
The Power of Sparsity in Convolutional Neural Networks
Soravit Changpinyo, Mark Sandler, Andrey Zhmoginov
Text-based LSTM networks for Automatic Music Composition
Keunwoo Choi, George Fazekas, Mark Sandler