Explore, Exploit, Explain: Personalizing Explainable Recommendations with Bandits
James McInerney, Ben Lacker, Samantha Hansen, Karl Higley, Hugues Bouchard, Alois Gruson, Rishabh Mehrotra
Machine Learning
72 publications
October 2018 | RecSys
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