1 citations · 2 across the 4 of their papers we have counts for
4 papers
Polynomial Mixing for Efficient Self-supervised Speech Encoders
Eva Feillet, Ryan Whetten, David Picard +1
State-of-the-art speech-to-text models typically employ Transformer-based encoders that model token dependencies via self-attention mechanisms. However, the quadratic complexity of…
Multiple Locally Linear Kernel Machines
David Picard
In this paper we propose a new non-linear classifier based on a combination of locally linear classifiers. A well known optimization formulation is given as we cast the problem in…
Image Compression using only Attention based Neural Networks
Natacha Luka, Romain Negrel, David Picard
In recent research, Learned Image Compression has gained prominence for its capacity to outperform traditional handcrafted pipelines, especially at low bit-rates. While existing me…
PlaStIL: Plastic and Stable Memory-Free Class-Incremental Learning
Grégoire Petit, Adrian Popescu, Eden Belouadah +2
Plasticity and stability are needed in class-incremental learning in order to learn from new data while preserving past knowledge. Due to catastrophic forgetting, finding a comprom…