Tag: Regularization
All the articles with the tag "Regularization".
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Scalable Strategies for Continual Learning with Replay
本文提出低秩适应(LoRA)、整合和顺序合并三种策略以提升持续学习的可扩展性,通过减少重放样本需求(最高65%)并结合高效微调技术,在图像分类任务中显著提高性能。
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Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models
本文提出SAFE方法,通过选择性冻结对任务贡献较小的适配器,实现资源高效的语言模型微调,在显著降低内存使用和计算成本的同时,保持甚至提升模型性能。
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Elastic Weight Consolidation for Full-Parameter Continual Pre-Training of Gemma2
This paper demonstrates that Elastic Weight Consolidation (EWC) applied to full-parameter continual pre-training of Gemma2 2B LLM mitigates catastrophic forgetting on English tasks while improving performance on Lithuanian language benchmarks during autoregressive pre-training on CulturaX data.