3 papers
cs.SD2025
Is Self-Supervised Learning Enough to Fill in the Gap? A Study on Speech Inpainting
Ihab Asaad, Maxime Jacquelin, Olivier Perrotin +2
Speech inpainting consists in reconstructing corrupted or missing speech segments using surrounding context, a process that closely resembles the pretext tasks in Self-Supervised L…
cs.LG2025
Mitigating Spurious Correlations in Patch-wise Tumor Classification on High-Resolution Multimodal Images
Ihab Asaad, Maha Shadaydeh, Joachim Denzler
Patch-wise multi-label classification provides an efficient alternative to full pixel-wise segmentation on high-resolution images, particularly when the objective is to determine t…
cs.LG2025
Gradient Extrapolation for Debiased Representation Learning
Ihab Asaad, Maha Shadaydeh, Joachim Denzler
Machine learning classification models trained with empirical risk minimization (ERM) often inadvertently rely on spurious correlations. When absent in the test data, these uninten…