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parameter-efficient fine-tuning

1,055 papers

PEFT

Papers

Trainable Projected Gradient Method for Robust Fine-Tuning CVPR 2023 Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding EMNLP 2023 Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning EMNLP 2023 Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints ACL 2023 Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition EMNLP 2023 YANMTT: Yet Another Neural Machine Translation Toolkit ACL 2023 YNU-HPCC at WASSA-2023 Shared Task 1: Large-scale Language Model with LoRA Fine-Tuning for Empathy Detection and Emotion Classification ACL 2023 AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning EMNLP 2022 Adaptable Adapters NAACL 2022 AdapterHub Playground: Simple and Flexible Few-Shot Learning with Adapters ACL 2022 AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition NeurIPS 2022 AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models EMNLP 2022 An Empirical Study on the Transferability of Transformer Modules in Parameter-efficient Fine-tuning EMNLP 2022 Attribute Injection for Pretrained Language Models: A New Benchmark and an Efficient Method COLING 2022 BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models ACL 2022 CLIP Models are Few-Shot Learners: Empirical Studies on VQA and Visual Entailment ACL 2022 Control Prefixes for Parameter-Efficient Text Generation EMNLP 2022 Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models ACL 2022 Developing Prefix-Tuning Models for Hierarchical Text Classification EMNLP 2022 Differentially Private Fine-tuning of Language Models ICLR 2022 Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization NAACL 2022 Domain Specific Sub-network for Multi-Domain Neural Machine Translation AACL 2022 Efficient Hierarchical Domain Adaptation for Pretrained Language Models NAACL 2022 Fast Vocabulary Transfer for Language Model Compression EMNLP 2022 Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning NeurIPS 2022