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

LoFiT: Localized Fine-tuning on LLM Representations NIPS 2024
HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning NIPS 2024
Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems NIPS 2024
FouRA: Fourier Low-Rank Adaptation NIPS 2024
Relationship Prompt Learning is Enough for Open-Vocabulary Semantic Segmentation NIPS 2024
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner NIPS 2024
Personalized LoRA for Human-Centered Text Understanding AAAI 2024
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models NIPS 2024
Prompting Multi-Modal Image Segmentation with Semantic Grouping AAAI 2024
SA²VP: Spatially Aligned-and-Adapted Visual Prompt AAAI 2024
Unveiling LoRA Intrinsic Ranks via Salience Analysis NIPS 2024
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation NIPS 2024
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations NIPS 2024
DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution ACL 2024
RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter ACL 2024
ConstitutionalExperts: Training a Mixture of Principle-based Prompts ACL 2024
Time Sensitive Knowledge Editing through Efficient Finetuning ACL 2024
LoRA Meets Dropout under a Unified Framework ACL 2024
LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild ACL 2024
DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation NIPS 2024
Customizing Language Models with Instance-wise LoRA for Sequential Recommendation NIPS 2024
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization NIPS 2024
Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources NIPS 2024
BitDelta: Your Fine-Tune May Only Be Worth One Bit NIPS 2024
Knowledge Composition using Task Vectors with Learned Anisotropic Scaling NIPS 2024