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conftrace_

parameter-efficient tuning

221 papers

PET PETUNING

Papers

LaViP: Language-Grounded Visual Prompting AAAI 2024 Learn and Don't Forget: Adding a New Language to ASR Foundation Models Interspeech 2024 MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension EMNLP 2024 Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical Volumetric Segmentation MIDL 2024 Mini but Mighty: Finetuning ViTs With Mini Adapters WACV 2024 Mixture-of-LoRAs: An Efficient Multitask Tuning Method for Large Language Models COLING 2024 MoDE-CoTD: Chain-of-Thought Distillation for Complex Reasoning Tasks with Mixture of Decoupled LoRA-Experts COLING 2024 Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation ICLR 2024 Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models ACL 2024 NOLA: Compressing LoRA using Linear Combination of Random Basis ICLR 2024 Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment EMNLP 2024 OWL: A Large Language Model for IT Operations ICLR 2024 Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts NeurIPS 2024 Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction NeurIPS 2024 Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis NeurIPS 2024 Progressive Tuning: Towards Generic Sentiment Abilities for Large Language Models ACL 2024 Quality Matters: Evaluating Synthetic Data for Tool-Using LLMs EMNLP 2024 Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models ACL 2024 Relationship Prompt Learning is Enough for Open-Vocabulary Semantic Segmentation NeurIPS 2024 Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models NeurIPS 2024 SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models NeurIPS 2024 SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models ACL 2024 Self-Prompt Mechanism for Few-Shot Image Recognition AAAI 2024 Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer CVPR 2024 Structured Model Probing: Empowering Efficient Transfer Learning by Structured Regularization CVPR 2024