BayesLoRA applies diagonal rank-wise variational inference to break LoRA gauge symmetry and learn adapter rank with O(r) parameters.
What uncertainties do we need in bayesian deep learning for computer vision? In Advances in Neural Information Processing Systems 30 (NeurIPS) , pages 5574–5584, 2017
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Learning Adapter Rank via Symmetry Breaking
BayesLoRA applies diagonal rank-wise variational inference to break LoRA gauge symmetry and learn adapter rank with O(r) parameters.