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08/24/2023
On the Consistency of Average Embeddings for Item Recommendation
A prevalent practice in recommender systems consists in averaging item e...
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06/30/2023
Of Spiky SVDs and Music Recommendation
The truncated singular value decomposition is a widely used methodology ...
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04/17/2023
Attention Mixtures for Time-Aware Sequential Recommendation
Transformers emerged as powerful methods for sequential recommendation. ...
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03/13/2023
A Human Subject Study of Named Entity Recognition (NER) in Conversational Music Recommendation Queries
We conducted a human subject study of named entity recognition on a nois...
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10/28/2022
Discovery Dynamics: Leveraging Repeated Exposure for User and Music Characterization
Repetition in music consumption is a common phenomenon. It is notably mo...
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07/21/2022
Learning Unsupervised Hierarchies of Audio Concepts
Music signals are difficult to interpret from their low-level features, ...
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01/25/2022
Explainability in Music Recommender Systems
The most common way to listen to recorded music nowadays is via streamin...
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08/26/2021
A Realistic Study of Auto-regressive Language Models for Named Entity Typing and Recognition
Despite impressive results of language models for named entity recogniti...
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08/02/2021
Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders
On an artist's profile page, music streaming services frequently recomme...
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07/26/2021
Hierarchical Latent Relation Modeling for Collaborative Metric Learning
Collaborative Metric Learning (CML) recently emerged as a powerful parad...
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05/31/2021
Singing Language Identification using a Deep Phonotactic Approach
Extensive works have tackled Language Identification (LID) in the speech...
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04/26/2021
Towards Rigorous Interpretations: a Formalisation of Feature Attribution
Feature attribution is often loosely presented as the process of selecti...
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10/13/2020
Modeling the Music Genre Perception across Language-Bound Cultures
The music genre perception expressed through human annotations of artist...
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09/16/2020
Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation
Annotating music items with music genres is crucial for music recommenda...
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08/26/2020
Making Neural Networks Interpretable with Attribution: Application to Implicit Signals Prediction
Explaining recommendations enables users to understand whether recommend...
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02/05/2020
FastGAE: Fast, Scalable and Effective Graph Autoencoders with Stochastic Subgraph Decoding
Graph autoencoders (AE) and variational autoencoders (VAE) are powerful ...
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01/21/2020
Simple and Effective Graph Autoencoders with One-Hop Linear Models
Graph autoencoders (AE) and variational autoencoders (VAE) recently emer...
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10/02/2019
Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks
Graph autoencoders (AE) and variational autoencoders (VAE) recently emer...
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09/24/2019
Improving Collaborative Metric Learning with Efficient Negative Sampling
Distance metric learning based on triplet loss has been applied with suc...
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07/18/2019
Leveraging Knowledge Bases And Parallel Annotations For Music Genre Translation
Prevalent efforts have been put in automatically inferring genres of mus...
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06/06/2019
Singing voice separation: a study on training data
In the recent years, singing voice separation systems showed increased p...
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05/23/2019
Gravity-Inspired Graph Autoencoders for Directed Link Prediction
Graph autoencoders (AE) and variational autoencoders (VAE) recently emer...
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02/23/2019
A Degeneracy Framework for Scalable Graph Autoencoders
In this paper, we present a general framework to scale graph autoencoder...
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10/03/2018
Disambiguating Music Artists at Scale with Audio Metric Learning
We address the problem of disambiguating large scale catalogs through th...
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09/19/2018
Music Mood Detection Based On Audio And Lyrics With Deep Neural Net
We consider the task of multimodal music mood prediction based on the au...
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09/19/2018
Audio Based Disambiguation Of Music Genre Tags
In this paper, we propose to infer music genre embeddings from audio dat...
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08/30/2018