Machine Learning

30 publications
April 2021 | AISTATS

Collaborative Classification from Noisy Labels

Lucas Maystre, Nagarjuna Kumarappan, Judith Bütepage, Mounia Lalmas

March 2021 | WSDM

Shifting Consumption towards Diverse Content on Music Streaming Platforms

Christian Hansen, Rishabh Mehrotra, Casper Hansen, Brian Brost, Lucas Maystre, Mounia Lalmas

December 2020 | NeuRIPS

Model Selection for Production System via Automated Online Experiments

Zhenwen Dai, Praveen Chandar, Ghazal Fazelnia, Benjamin Carterette, Mounia Lalmas

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 | 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 | 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

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