research
∙
07/20/2023
Transfer Learning and Bias Correction with Pre-trained Audio Embeddings
Deep neural network models have become the dominant approach to a large ...
share
research
∙
06/12/2023
Video-to-Music Recommendation using Temporal Alignment of Segments
We study cross-modal recommendation of music tracks to be used as soundt...
research
∙
11/14/2022
Exploiting Device and Audio Data to Tag Music with User-Aware Listening Contexts
As music has become more available especially on music streaming platfor...
research
∙
03/04/2022
Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms
Understanding generalization in modern machine learning settings has bee...
research
∙
01/24/2022
Unsupervised Audio Source Separation Using Differentiable Parametric Source Models
Supervised deep learning approaches to underdetermined audio source sepa...
research
∙
08/03/2021
DarkGAN: Exploiting Knowledge Distillation for Comprehensible Audio Synthesis with GANs
Generative Adversarial Networks (GANs) have achieved excellent audio syn...
research
∙
08/02/2021
Is there a "language of music-video clips" ? A qualitative and quantitative study
Recommending automatically a video given a music or a music given a vide...
research
∙
07/07/2021
Probabilistic semi-nonnegative matrix factorization: a Skellam-based framework
We present a new probabilistic model to address semi-nonnegative matrix ...
research
∙
06/07/2021
Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks
Neural network compression techniques have become increasingly popular a...
research
∙
05/18/2021
Relative Positional Encoding for Transformers with Linear Complexity
Recent advances in Transformer models allow for unprecedented sequence l...
research
∙
05/04/2021
VQCPC-GAN: Variable-length Adversarial Audio Synthesis using Vector-Quantized Contrastive Predictive Coding
Influenced by the field of Computer Vision, Generative Adversarial Netwo...
research
∙
04/30/2021
Cross-Modal Music-Video Recommendation: A Study of Design Choices
In this work, we study music/video cross-modal recommendation, i.e. reco...
research
∙
02/10/2021
Self-Supervised VQ-VAE For One-Shot Music Style Transfer
Neural style transfer, allowing to apply the artistic style of one image...
research
∙
06/16/2020
Comparing Representations for Audio Synthesis Using Generative Adversarial Networks
In this paper, we compare different audio signal representations, includ...
research
∙
05/18/2020
Learning to rank music tracks using triplet loss
Most music streaming services rely on automatic recommendation algorithm...
research
∙
11/29/2019
On the Heavy-Tailed Theory of Stochastic Gradient Descent for Deep Neural Networks
The gradient noise (GN) in the stochastic gradient descent (SGD) algorit...
research
∙
11/27/2019
Augmented Skew-Symetric System for Shallow-Water System with Surface Tension Allowing Large Gradient of Density
In this paper, we introduce a new extended version of the shallow water ...
research
∙
07/04/2019
Supervised Symbolic Music Style Translation Using Synthetic Data
Research on style transfer and domain translation has clearly demonstrat...
research
∙
06/21/2019
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise
Stochastic gradient descent (SGD) has been widely used in machine learni...
research
∙
01/22/2019
Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization
Recent studies on diffusion-based sampling methods have shown that Lange...
research
∙
11/09/2018
Identify, locate and separate: Audio-visual object extraction in large video collections using weak supervision
We tackle the problem of audiovisual scene analysis for weakly-labeled d...
research
∙
06/07/2018
Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization
Recent studies have illustrated that stochastic gradient Markov Chain Mo...
research
∙
04/19/2018
Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events
Audio-visual representation learning is an important task from the persp...
research
∙
02/26/2018
A Generative Model for Non-Intrusive Load Monitoring in Commercial Buildings
In the recent years, there has been an increasing academic and industria...
research
∙
02/10/2016
