Parameter Efficient Diff Pruning for Bias Mitigation. - Lukas Hauzenberger; Navid Rekabsaz (CoRR, 2022)

Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks. - Lukas Hauzenberger; Shahed Masoudian; Deepak Kumar; Markus Schedl; Navid Rekabsaz (ACL (Findings), 2023)

One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation. - Fabian Paischer; Lukas Hauzenberger; Thomas Schmied; Benedikt Alkin; Marc Peter Deisenroth; Sepp Hochreiter (CoRR, 2024)