Transformers Meet ACT-R: Repeat-Aware and Sequential Listening Session Recommendation
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Ex2Vec: Characterizing Users and Items from the Mere Exposure Effect
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Automatic Annotation of Direct Speech in Written French Narratives
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Attention Mixtures for Time-Aware Sequential Recommendation
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Discovery Dynamics: Leveraging Repeated Exposure for User and Music Characterization
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Improving Transformers with Probabilistic Attention Keys
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FlowVocoder: A small Footprint Neural Vocoder based Normalizing Flow for Speech Synthesis
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Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders
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Hierarchical Latent Relation Modeling for Collaborative Metric Learning
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A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps
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Many-to-Many Voice Conversion based Feature Disentanglement using Variational Autoencoder
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Gravity-Inspired Graph Autoencoders for Directed Link Prediction
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A Degeneracy Framework for Scalable Graph Autoencoders
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Improving Collaborative Metric Learning with Efficient Negative Sampling
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Disambiguating Music Artists at Scale with Audio Metric Learning
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