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

PEMA: An Offsite-Tunable Plug-in External Memory Adaptation for Language Models NAACL 2024
Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs EMNLP 2024
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs EMNLP 2024
SelfCodeAlign: Self-Alignment for Code Generation NIPS 2024
$\textit{Trans-LoRA}$: towards data-free Transferable Parameter Efficient Finetuning NIPS 2024
Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe NIPS 2024
Visual Fourier Prompt Tuning NIPS 2024
Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models NIPS 2024
Stronger Fewer & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation CVPR 2024
AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment NIPS 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning NIPS 2024
Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models NIPS 2024
3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability NIPS 2024
Parameter-Efficient Conversational Recommender System as a Language Processing Task EACL 2024
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning CVPR 2024
SSR-Encoder: Encoding Selective Subject Representation for Subject-Driven Generation CVPR 2024
MTLoRA: Low-Rank Adaptation Approach for Efficient Multi-Task Learning CVPR 2024
PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation EACL 2024
Parameter-Efficient Fine-Tuning: Is There An Optimal Subset of Parameters to Tune? EACL 2024
Are Large Language Models State-of-the-art Quality Estimators for Machine Translation of User-generated Content? EMNLP 2024
Learning Global Controller in Latent Space for Parameter-Efficient Fine-Tuning ACL 2024
Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation NIPS 2024
Is Multiple Object Tracking a Matter of Specialization? NIPS 2024
An Improved Empirical Fisher Approximation for Natural Gradient Descent NIPS 2024
Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation NIPS 2024