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Lukas Hauzenberger

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2020 – today

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2024
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  - journals/corr/abs-2410-07170
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Fabian Paischer, Lukas Hauzenberger, Thomas Schmied, Benedikt Alkin, Marc Peter Deisenroth, Sepp Hochreiter:
One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation. CoRR abs/2410.07170 (2024)
2023
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  - conf/acl/HauzenbergerMKS23
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Lukas Hauzenberger, Shahed Masoudian, Deepak Kumar, Markus Schedl, Navid Rekabsaz:
Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks. ACL (Findings) 2023: 6192-6214
2022
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  - journals/corr/abs-2205-15171
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Lukas Hauzenberger, Navid Rekabsaz:
Parameter Efficient Diff Pruning for Bias Mitigation. CoRR abs/2205.15171 (2022)

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