3 papers
cs.SD2026
SPECTRA: Subspace-Preserving Embedding Calibration, Transport, and Replay for Fully Few-Shot Class-Incremental Audio Classification
Giries Abu Ayoub, Loay Mualem, Simon Korman
Fully few-shot class-incremental audio classification (FFCAC) requires recognizing new sound classes from only a handful of labeled examples per session, without forgetting previou…
cs.CV2024
Unsupervised Representation Learning by Balanced Self Attention Matching
Daniel Shalam, Simon Korman
Many leading self-supervised methods for unsupervised representation learning, in particular those for embedding image features, are built on variants of the instance discriminatio…
cs.LG2024
The Balanced-Pairwise-Affinities Feature Transform
Daniel Shalam, Simon Korman
The Balanced-Pairwise-Affinities (BPA) feature transform is designed to upgrade the features of a set of input items to facilitate downstream matching or grouping related tasks. Th…