parameter-efficient fine-tuning

FPT: Improving Prompt Tuning Efficiency via Progressive Training EMNLP 2022 LayerConnect: Hypernetwork-Assisted Inter-Layer Connector to Enhance Parameter Efficiency COLING 2022 Learning to Adapt to Low-Resource Paraphrase Generation EMNLP 2022 LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners NAACL 2022 LoRA: Low-Rank Adaptation of Large Language Models ICLR 2022 m4 Adapter: Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-Adapter EMNLP 2022 Modular and Parameter-Efficient Fine-Tuning for NLP Models EMNLP 2022 On Robust Prefix-Tuning for Text Classification ICLR 2022 On Transferability of Prompt Tuning for Natural Language Processing NAACL 2022 PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion EMNLP 2022 Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks NeurIPS 2022 S4-Tuning: A Simple Cross-lingual Sub-network Tuning Method ACL 2022 Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning NeurIPS 2022 Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning NeurIPS 2022 ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning NeurIPS 2022 The Power of Prompt Tuning for Low-Resource Semantic Parsing ACL 2022 Towards a Unified View of Parameter-Efficient Transfer Learning ICLR 2022 UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning ACL 2022 When does Parameter-Efficient Transfer Learning Work for Machine Translation? EMNLP 2022 Compacter: Efficient Low-Rank Hypercomplex Adapter Layers NeurIPS 2021 Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators ACL 2021 Lightweight Adapter Tuning for Multilingual Speech Translation ACL 2021 Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters EMNLP 2021 Parameter-Efficient Domain Knowledge Integration from Multiple Sources for Biomedical Pre-trained Language Models EMNLP 2021 Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks ACL 2021