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cs.LG2026
CeRA: Breaking the Linear Ceiling of Low-Rank Adaptation with Non-linearity Retained at Inference
Hung-Hsuan Chen
Low-Rank Adaptation (LoRA) dominates parameter-efficient fine-tuning (PEFT). However, it faces a ``linear ceiling'': increasing the rank yields diminishing returns in expressive ca…
cs.CV2026
From Volumes to Slices: Computationally Efficient Contrastive Learning for Sequential Abdominal CT Analysis
Po-Kai Chiu, Hung-Hsuan Chen
The requirement for expert annotations limits the effectiveness of deep learning for medical image analysis. Although 3D self-supervised methods like volume contrast learning (VoCo…