PaLoRA: Paced Low-Rank Adaptation for Continual Learning

arXiv:2610.04226 · cs.LG · Submitted 2026-10-03 · Read on arXiv

cs.LG

Submitted: 2026-10-03

Updated: 2026-10-03

Code: https://github.com/liyuxuan-github/PaLoRA

Terminology

• Adaptation — 1× in this paper · explained in 1 episode
• Continual Learning — 1× in this paper · explained in 2 episodes

Sources

• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
• Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
• CL-VISTA: Benchmarking Continual Learning in Video Large Language Models
• Continual Learning for Generative AI: From LLMs to MLLMs and Beyond
• MCITlib: Multimodal Continual Instruction Tuning Library and Benchmark
• LoRA+: Efficient Low Rank Adaptation of Large Models
• When Continue Learning Meets Multimodal Large Language Model: A Survey
• A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA
• VeRA: Vector-based Random Matrix Adaptation
• What Would Elsa Do? Freezing Layers During Transformer Fine-Tuning
• Gradient Projection Memory for Continual Learning
• How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers
• AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks