Parameter-Efficient continual fine-tuning: A survey
Authors:
- Eric Nuertey ColemanECEric Nuertey Coleman
- Luigi QuarantielloLQLuigi Quarantiello
- Ziyue LiuZLZiyue Liu
- Qinwen YangQYQinwen Yang
- Samrat MukherjeeSMSamrat Mukherjee
- Julio HurtadoJHJulio Hurtado
- Vincenzo LomonacoVLVincenzo Lomonaco
- 15 July 2026
- journal article
- Published by Elsevier in Neurocomputing
- Vol. 701
Abstract
No abstract availableFunding Information
- European Commission
This publication has 20 references indexed in Scilit:
- LoRA-based continual learning with constraints on critical parameter changesPattern Recognition, 2025
- Prompt-based learning for few-shot class-incremental learningAlexandria Engineering Journal, 2025
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You NeedInternational Journal of Computer Vision, 2024
- CAT: Continual Adapter Tuning for aspect sentiment classificationNeurocomputing, 2024
- GPT understands, tooAI Open, 2024
- CLAD: A realistic Continual Learning benchmark for Autonomous DrivingNeural Networks, 2023
- Online continual learning in image classification: An empirical surveyNeurocomputing, 2022
- Continual learning of context-dependent processing in neural networksNature Machine Intelligence, 2019
- Continual lifelong learning with neural networks: A reviewNeural Networks, 2019
- Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem1989