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cs.LG2026
Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry
Sumedh Vemuganti, Nickvash Kani
Training neural networks to jointly predict mean and uncertainty estimates from noisy observations can be unstable, prompting a series of independent stabilization efforts. We argu…
cs.CL2026
GiVA: Gradient-Informed Bases for Vector-Based Adaptation
Neeraj Gangwar, Rishabh Deshmukh, Michael Shavlovsky +4
As model sizes continue to grow, parameter-efficient fine-tuning has emerged as a powerful alternative to full fine-tuning. While LoRA is widely adopted among these methods, recent…