Decoupled and Distilled: Task-Adaptive LoRA-Teachers with Ensemble Knowledge Transfer for Few-Shot Class-Incremental Learning
cs.LG
Submitted: 2026-09-30
Updated: 2026-09-30
Code: https://github.com/hongwei-zhao/NEUCOM-TALON-main
Sources
- Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey and Benchmark
- LoRA: Low-Rank Adaptation of Large Language Models
- SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning
- Distilling the Knowledge in a Neural Network
- Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning
- Towards a Unified View of Parameter-Efficient Transfer Learning
- S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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