2 papers
cs.CV2026
Fourier Self-Supervision for Fine-Grained Generalized Category Discovery
Sarah Rastegar, Mina Ghadimi Atigh, Pascal Mettes +2
Generalized Category Discovery aims to recognize known categories while identifying novel ones within unlabeled data. Existing methods, typically based on self-supervision and cont…
cs.LG2026
Hyperbolic Concept Bottleneck Models
Daniel Uyterlinde, Swasti Shreya Mishra, Pascal Mettes
Concept Bottleneck Models (CBMs) have become a popular approach to enable interpretability in neural networks by constraining classifier inputs to a set of human-understandable con…