A Unified Library for Parameter-Efficient and Modular Transfer Learning
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Updated
May 31, 2024 - Jupyter Notebook
A Unified Library for Parameter-Efficient and Modular Transfer Learning
A curated list of prompt-based paper in computer vision and vision-language learning.
A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
Research Trends in LLM-guided Multimodal Learning.
[ICML2024] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation
[ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"
On Transferability of Prompt Tuning for Natural Language Processing
Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"
Collection of Tools and Papers related to Adapters / Parameter-Efficient Transfer Learning/ Fine-Tuning
[NeurIPS2023] Parameter-efficient Tuning of Large-scale Multimodal Foundation Model
[ICCV 2023] Binary Adapters, [AAAI 2023] FacT, [Tech report] Convpass
[ICML 2024] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".
[Preprint] AdaVAE: Exploring Adaptive GPT-2s in VAEs for Language Modeling PyTorch Implementation
Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"
Code for paper "UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning", ACL 2022
[CVPR 2023] VoP: Text-Video Co-operative Prompt Tuning for Cross-Modal Retrieval
This is AlpaGasus2-QLoRA based on LLaMA2 with AlpaGasus mechanism using QLoRA!
[MICCAI ISIC Workshop 2023] AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasets (an official implementation)
KR3: Korean Restaurant Review with Ratings / Experiments on Parameter-efficient Tuning and Task-adaptive Pre-training
[arXiv] Cross-Modal Adapter for Text-Video Retrieval
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