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06/27/2023
Automatic Annotation of Direct Speech in Written French Narratives
The automatic annotation of direct speech (AADS) in written text has bee...
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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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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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10/29/2021
Personalized breath based biometric authentication with wearable multimodality
Breath with nose sound features has been shown as a potential biometric ...
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09/27/2021
FlowVocoder: A small Footprint Neural Vocoder based Normalizing flow for Speech Synthesis
Recently, non-autoregressive neural vocoders have provided remarkable pe...
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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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07/11/2021
Many-to-Many Voice Conversion based Feature Disentanglement using Variational Autoencoder
Voice conversion is a challenging task which transforms the voice charac...
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06/07/2021
A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps
Music streaming services heavily rely on recommender systems to improve ...
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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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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
