conftrace_

parameter-efficient fine-tuning

736 papers

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Also known as

PEFT

Co-occurring keywords

low-rank adaptation (560) large language model (13587) model compression (3302) transfer learning (5449) parameter efficient fine-tuning (168) knowledge distillation (3725) few-shot learning (3398) domain adaptation (4595) vision-language model (2348) language model (4599)

Papers

Adapters Strike Back CVPR 2024
Mixture of Soft Prompts for Controllable Data Generation EMNLP 2023
Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning ACL 2023
Towards Parameter-Efficient Integration of Pre-Trained Language Models In Temporal Video Grounding ACL 2023
Towards Practical Plug-and-Play Diffusion Models CVPR 2023
Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition CVPR 2023
Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning NIPS 2023
Focus Your Attention when Few-Shot Classification NIPS 2023
Efficient Multimodal Fusion via Interactive Prompting CVPR 2023
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding EMNLP 2023
DRAFT: Dense Retrieval Augmented Few-shot Topic classifier Framework EMNLP 2023
DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models ACL 2023
Language-Family Adapters for Low-Resource Multilingual Neural Machine Translation EACL 2023
ADAPTERMIX: Exploring the Efficacy of Mixture of Adapters for Low-Resource TTS Adaptation INTERSPEECH 2023
Towards Instance-adaptive Inference for Federated Learning ICCV 2023
Re-investigating the Efficient Transfer Learning of Speech Foundation Model using Feature Fusion Methods INTERSPEECH 2023
HINT: Hypernetwork Instruction Tuning for Efficient Zero- and Few-Shot Generalisation ACL 2023
A Kernel-Based View of Language Model Fine-Tuning ICML 2023
Exploring Zero and Few-shot Techniques for Intent Classification ACL 2023
Client-Customized Adaptation for Parameter-Efficient Federated Learning ACL 2023
An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models ACL 2023
HyperTuning: Toward Adapting Large Language Models without Back-propagation ICML 2023
Task-Specific Skill Localization in Fine-tuned Language Models ICML 2023
MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting EACL 2023
AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models EACL 2023