2 papers
cs.LG2026
Geometry-Aware Contrastive Learning for Few-Shot Automatic Modulation Recognition
Guanqun Zhao, Yitong Liu, Jiaxuan Fang +2
Standard Self-Supervised Learning (SSL) for Automatic Modulation Recognition (AMR) struggles with ineffective isotropic augmentations, spectral instability, and semantic drift. To…
cs.SE2025
Causal Models in Requirement Specifications for Machine Learning: A vision
Hans-Martin Heyn, Yufei Mao, Roland Weiss +1
Specifying data requirements for machine learning (ML) software systems remains a challenge in requirements engineering (RE). This vision paper explores causal modelling as an RE a…