Eduardo Fonseca

icassp19. Public repository for the paper "Learning Sound Event Classifiers from Web Audio with Noisy Labels"

uclser20. Code for the paper "Unsupervised Contrastive Learning of Sound Event Representations", ICASSP 2021.

FSD50K_baseline. Baseline systems for the FSD50K dataset

shift_sec. Code for the paper "Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks".

DCASE2017-Task1-ASC. Acoustic scene classification by ensembling gradient boosting machine and convolutional neural networks

waspaa19. Public repository for the paper "Model-agnostic Approaches to Handling Noisy Labels When Training Sound Event Classifiers"

Awesome-Learning-with-Label-Noise. A curated list of resources for Learning with Noisy Labels

awesome-deeplearning-papers. Deep Learning and deep reinforcement learning research papers and books.