Model Selection for Production System via Automated Online Experiments
Zhenwen Dai, Praveen Chandar, Ghazal Fazelnia, Benjamin Carterette, Mounia Lalmas
Machine Learning
72 publications
December 2020 | NeuRIPS
October 2020 | CIKM
Query Understanding for Surfacing Under-served Music Content
Federico Tomasi, Rishabh Mehrotra, Aasish Pappu, Judith Bütepage, Brian Brost, Hugo Galvão, Mounia Lalmas
September 2020 | PLOS One
The skipping behavior of users of music streaming services and its relation to musical structure
Nicola Montecchio, Pierre Roy, François Pachet
September 2020 | RecSys
Contextual and Sequential User Embeddings for Large-Scale Music Recommendation
Casper Hansen, Christian Hansen, Lucas Maystre, Rishabh Mehrotra, Brian Brost, Federico Tomasi, Mounia Lalmas
August 2020 | KDD
Bandit based Optimization of Multiple Objectives on a Music Streaming Platform
Rishabh Mehrotra, Niannan Xue, Mounia Lalmas
August 2020 | KDD
Learning with Limited Labels via Momentum Damped & Differentially Weighted Optimization
Rishabh Mehrotra, Ashish Gupta
August 2020 | ISMIR - International Society for Music Information Retrieval Conference
Data Cleansing with Contrastive Learning for Vocal Note Event Annotations
Gabriel Meseguer-Brocal, Rachel Bittner, Simon Durand, Brian Brost
August 2020 | Uncertainty in Artificial Intelligence (UAI)
Stochastic Variational Inference for Dynamic Correlated Topic Models
Federico Tomasi, Praveen Chandar, Gal Levy-Fix, Mounia Lalmas, Zhenwen Dai
July 2020 | IJCAI - International Joint Conference on Artificial Intelligence
Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling
Daniel Stoller, Mi Tian, Sebastian Ewert, and Simon Dixon
July 2020 | WCCI/IJCNN - IEEE World Congress on Computational Intelligence / International Joint Conference on Neural Networks
Using a Neural Network Codec Approximation Loss to Improve Source Separation Performance in Limited Capacity Networks
Ishwarya Ananthabhotla, Sebastian Ewert, Joseph A. Paradiso
April 2020 | ICLR - International Conference on Learning Representations
Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators
Daniel Stoller, Sebastian Ewert, Simon Dixon
October 2019 | ACM MM - ACM International Conference on Multimedia
Towards a Perceptual Loss: Using a Neural Network Codec Approximation as a Loss for Generative Audio Models
Ishwarya Ananthabhotla, Sebastian Ewert, Joseph A. Paradiso
September 2019 | ACM Transactions on Intelligent Systems and Technology
An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation
Hamed Zamani, Markus Schedl, Paul Lamere, Ching-Wei Chen
September 2019 | EUSIPCO
Joint Singing Voice Separation and F0 Estimation with Deep U-Net Architectures
Andreas Jansson, Rachel M Bittner, Sebastian Ewert, Tillman Weyde
July 2019 | ICASSP
End-to-End Lyrics Alignment for Polyphonic Music Using An Audio-to-Character Recognition Model
Daniel Stoller, Simon Durand, Sebastian Ewert
May 2019 | ICASSP
Neural Music Synthesis for Flexible Timbre Control
Jong Wook Kim, Rachel Bittner, Aparna Kumar, Juan Pablo Bello
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