Exciting news ๐ฅณ๐พ
I am honored to have been shortlisted, for the third time in my career, among the best paper candidates at the @ACMRecSys conference!
After nominations in 2020 and 2021, this time itโs at #RecSys2024 with Viet-Anh Tran, @bmsguerra, and @romainhennequi1!
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A nice way to start the week! Our work:
"Transformers Meet ACT-R: Repeat-Aware and Sequential Listening Session Recommendation"
led by Viet Anh Tran from @Deezer,
has been accepted as a Full Paper at #RecSys2024! ๐ฅณ
We will share a preprint soon along with code and data.
STONE : Self-supervised Tonality Estimator by Yuexuan Kong, Vincent Lostanlen Gabriel Meseguer Brocal Stella Wong, Mathieu Lagrange and Romain Hennequin https://t.co/23YpiUEX88 STONE is the first self-supervised tonality estimator using the ChromaNet architecture.
From Real to Cloned Singer Identification by Dorian Desblancs, Gabriel Meseguer Brocal, Romain Hennequin and Manuel Moussallam: https://t.co/RrU4V3eBOp where we investigate ways to identify artist's cloned voices in mixtures.
Our Head of Research Romain Hennequin will be at @MusicTechBE to talk about #AImusic and the latests work from the team on the topic. https://t.co/kBI0AVQoh8
The deadline to submit your research to the NLP4MusA #ISMIR2024 companion workshop has been extended to July 12th: https://t.co/TOSEz9XT2r . Both academic and industry submissions at the crossroads of #NLP and #MIR are welcomed
We will present vMF-exp for scalable exploration in RL problems with large action sets and hyperspherical embeddings, next month at the @arlet_workshop of #ICML2024!
Paper online soon: a math-heavy work with a real-world deployment on @Deezer for music recommendation! ๐ถ
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I'm thrilled and humbled to share that our work on new releases has just been awarded the "Best Industry Track Paper Award" at #ECIR2024!
Congratulations to all members of our music recommendation team at @Deezer! ๐
@ecir2024@researchdeezer@lea_ibrd@xbenji
This week, Glasgow plays host to the #ECIR2024 conference! ๐ด๓ ง๓ ข๓ ณ๓ ฃ๓ ด๓ ฟ
@lea_ibrd from our team is set to present our initiatives to improve the exposure and recommendation of new music releases on @Deezer! ๐ถ
Check it out:
Paper: https://t.co/A4FIXYlz16
Slides: https://t.co/z8PIXiE9vI
We are represented at #CHIIR24 with Lilian Marey presenting his work on modeling music consumption patterns https://t.co/0S6kG6csMx done at #Deezer with @bmsguerra and Manuel Moussallam
News from our #NLP team! @gaspmichel PhD student in our team present his last work done with @evpure, @romainhennequi1 and @ccerisara at the LaTeCH-CLfL 2024 SIGHUM Workshop in Malta. Preprint available here: https://t.co/me7eWEEzh2 #NLP
Congratulations to Kristina Matrosova, Manuel Moussallam, Thomas Louail, and Olivier Bodini for their paper "Depict or Discern? Fingerprinting Musical Taste from Explicit Preferences" published in @TismirJ! ๐
Paper link: https://t.co/xQgLwmpkjX
NEW: Research paper by Kristina Matrosova @MMoussallam@ThomasLouail and Olivier Bodini: "Depict or Discern? Fingerprinting Musical Taste from Explicit Preferences" shows with a dataset that the 2 opposite views about taste lead to conflicting solutions
https://t.co/XHsPl98bJT
More good news! Our paper "An Experimental Comparison of Multiview Self-supervised Methods For Music Tagging" has recently been accepted at #ICASSP2024.๐ถ๐ฐ๐ท
Kudos to @Gabolsgabs, Dorian Desblancs, and @romainhennequi1!
Our paper "An Experimental Comparison of Multiview Self-supervised Methods For Music Tagging" was accepted at #ICASSP2024!
Work with Dorian Desblancs and @romainhennequi1 which compares different self-supervised methods for music tagging.
Code and preprint soon. Stay tuned!
Exciting news to end the year... ๐คฉ
Our paper on improving the discoverability of new releases on @Deezer is set for an oral presentation at the Industry Day of #ECIR2024 in Glasgow!
Kudos to @lea_ibrd and the entire @Deezer RecSys team! ๐ The paper will be online soon.