Machine Learning

34 publications
January 2019 | IEEE Signal Processing Magazine

Deep Learning for Audio-Based Music Classification and Tagging

Juhan Nam, Keunwoo Choi, Jongpil Lee, Szu-Yu Chou, Yu-Hsuan Yang

October 2018 | CIKM

Towards a Fair Marketplace: Counterfactual Evaluation of the trade-off between Relevance, Fairness & Satisfaction in Recommendation Systems

Rishabh Mehrotra, James McInerney, Hugues Bouchard, Mounia Lalmas, Fernando Diaz

October 2018 | RecSys

Explore, Exploit, Explain: Personalizing Explainable Recommendations with Bandits

James McInerney, Ben Lacker, Samantha Hansen, Karl Higley, Hugues Bouchard, Alois Gruson, Rishabh Mehrotra

September 2018 | RecSys

Recsys Challenge 2018: Automatic Music Playlist Continuation

Ching-Wei Chen, Paul Lamere, Markus Schedl, Hamed Zamani

September 2018 | ISMIR

Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation

Daniel Stoller, Sebastian Ewert, Simon Dixon.

September 2018 | ISMIR

OpenMIC-2018: an Open Dataset for Multiple Instrument Recognition

Eric J. Humphrey, Simon Durand, Brian McFee

July 2018 | ICASSP

Adversarial Semi-Supervised Audio Source Separation applied to Singing Voice Extraction

Daniel Stoller, Sebastian Ewert, Simon Dixon

July 2018 | LVA/ICA

Jointly Detecting and Separating Singing Voice: A Multi-Task Approach

Daniel Stoller, Sebastian Ewert, Simon Dixon

April 2018 | IJMIR - International Journal of Multimedia Information Retrieval

Current challenges and visions in music recommender systems research

Markus Schedl, Hamed Zamani, Ching-Wei Chen, Yashar Deldjoo, Mehdi Elahi

October 2017 | ISMIR

Singing Voice Separation with Deep U-Net Convolutional Networks

Andreas Jansson, Eric J. Humphrey, Nicola Montecchio, Rachel Bittner, Aparna Kumar, Tillman Weyde

September 2017 | Multimedia Tools and Applications

Large-scale user modeling with recurrent neural networks for music discovery on multiple time scales

Cedric De Boom, Rohan Agrawal, Samantha Hansen, Esh Kumar, Romain Yon, Ching-Wei Chen, Thomas Demeester, Bart Dhoedt

August 2017 | ICML Music Discovery Workshop

Learning a large scale vocal similarity embedding for music

Aparna Kumar, Rachel Bittner, Nicola Montecchio, Andreas Jansson, Eric Humphrey, Maria Panteli, Tristan Jehan

March 2017 | AAAI Spring Symposium Workshop on Designing the UX of ML

Not so Autonomous, Very Human Decisions in Machine Learning. AAAI Spring Symposium on UX for ML: Designing the User Experience of Machine Learning Systems.

Henriette Cramer, Jennifer Thom

December 2014 | NIPS Workshop on Distributed Matrix Computations

Logistic Matrix Factorization for Implicit Feedback Data

Chris Johnson