Towards Fairness in Practice: A Practitioner-Oriented Rubric for Evaluating Fair ML Toolkits
Brianna Richardson, Jean Garcia-Gathright, Samuel F. Way, Jennifer Thom, Henriette Cramer
Machine Learning
32 publications
May 2021 | CHI
April 2021 | The Web Conference
Where To Next? A Dynamic Model of User Preferences
Francesco Sanna Passino, Lucas Maystre, Dmitrii Moor, Ashton Anderson, Mounia Lalmas
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 | KDD
Learning with Limited Labels via Momentum Damped & Differentially Weighted Optimization
Rishabh Mehrotra, Ashish Gupta
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