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20182026
most citedExplainability in Music Recommender Systems

71 citations · 248 across the 43 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.LG2021★ 19 cited

Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders

Guillaume Salha-Galvan, Romain Hennequin, Benjamin Chapus +2

On an artist's profile page, music streaming services frequently recommend a ranked list of "similar artists" that fans also liked. However, implementing such a feature is challeng…

cs.CL2021

Probing Pre-trained Auto-regressive Language Models for Named Entity Typing and Recognition

Elena V. Epure, Romain Hennequin

Despite impressive results of language models for named entity recognition (NER), their generalization to varied textual genres, a growing entity type set, and new entities remains…

cs.IR2021

Hierarchical Latent Relation Modeling for Collaborative Metric Learning

Viet-Anh Tran, Guillaume Salha-Galvan, Romain Hennequin +1

Collaborative Metric Learning (CML) recently emerged as a powerful paradigm for recommendation based on implicit feedback collaborative filtering. However, standard CML methods lea…

cs.SD2021★ 6 cited

Singing Language Identification using a Deep Phonotactic Approach

Lenny Renault, Andrea Vaglio, Romain Hennequin

Extensive works have tackled Language Identification (LID) in the speech domain, however their application to the singing voice trails and performances on Singing Language Identifi…

cs.LG2021

Towards Rigorous Interpretations: a Formalisation of Feature Attribution

Darius Afchar, Romain Hennequin, Vincent Guigue

Feature attribution is often loosely presented as the process of selecting a subset of relevant features as a rationale of a prediction. Task-dependent by nature, precise definitio…