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Found 7 papers, 3 papers with code
ParaDiS: Parallelly Distributable Slimmable Neural Networks
While inspired by slimmable networks allowing instant adaptation to resources on just one device, ParaDiS networks consist of several multi-device distributable configurations or switches that strongly share the parameters between them.
Inplace knowledge distillation with teacher assistant for improved training of flexible deep neural networks
Deep neural networks (DNNs) have achieved great success in various machine learning tasks.
Self-Supervised VQ-VAE for One-Shot Music Style Transfer
While several style conversion methods tailored to musical signals have been proposed, most lack the 'one-shot' capability of classical image style transfer algorithms.
A survey and an extensive evaluation of popular audio declipping methods
Audio declipping algorithms often make assumptions about the underlying signal, such as sparsity or low-rankness, and about the measurement system.
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 data.
Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events
Audio-visual representation learning is an important task from the perspective of designing machines with the ability to understand complex events.
Audio style transfer
"Style transfer" among images has recently emerged as a very active research topic, fuelled by the power of convolution neural networks (CNNs), and has become fast a very popular technology in social media.
Sound Audio and Speech Processing Classical Physics
