A Light Bilevel Refinement Aligns Self-Supervised Representations for Stronger Task-Specific Learning
BiSSLight, which combines M-FAC-based implicit gradient approximation with parameter-efficient fine-tuning via LoRA, enabling efficient application at larger scales that were previously impractical, is introduced.
Gustav Wagner Zakarias, Zheng-Hua Tan
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