jianghaojun / Awesome-Parameter-Efficient-Transfer-Learning
A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
☆400Updated 5 months ago
Alternatives and similar repositories for Awesome-Parameter-Efficient-Transfer-Learning:
Users that are interested in Awesome-Parameter-Efficient-Transfer-Learning are comparing it to the libraries listed below
- A curated list of prompt-based paper in computer vision and vision-language learning.☆913Updated last year
- A Survey on multimodal learning research.☆320Updated last year
- Exploring Visual Prompts for Adapting Large-Scale Models☆276Updated 2 years ago
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆177Updated last year
- [NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"☆346Updated 2 years ago
- Reading list for research topics in Masked Image Modeling☆332Updated 3 months ago
- ❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119☆1,097Updated last year
- [ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass☆179Updated last year
- This repo lists relevant papers summarized in our survey paper: A Systematic Survey of Prompt Engineering on Vision-Language Foundation …☆443Updated last week
- [TPAMI] Searching prompt modules for parameter-efficient transfer learning.☆227Updated last year
- A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation☆486Updated 9 months ago
- ☆506Updated 2 years ago
- [CVPR 2023] Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".☆718Updated last year
- Recent Advances in Vision and Language Pre-training (VLP)☆293Updated last year
- [T-PAMI] A curated list of self-supervised multimodal learning resources.☆248Updated 7 months ago
- [ICCV'23 Main Track, WECIA'23 Oral] Official repository of paper titled "Self-regulating Prompts: Foundational Model Adaptation without F…☆259Updated last year
- Low rank adaptation for Vision Transformer☆394Updated last year
- [NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"☆270Updated last year
- Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ …☆434Updated 7 months ago
- PyTorch Reimplementation of LoRA (featuring with supporting nn.MultiheadAttention)☆58Updated 3 months ago
- [ICCV2023] Dataset Quantization☆258Updated last year
- Official Open Source code for "Scaling Language-Image Pre-training via Masking"☆417Updated last year
- [ICLR 2024 (Spotlight)] "Frozen Transformers in Language Models are Effective Visual Encoder Layers"☆232Updated last year
- Experiments and data for the paper "When and why vision-language models behave like bags-of-words, and what to do about it?" Oral @ ICLR …☆270Updated last year
- official implementation of "Interpreting CLIP's Image Representation via Text-Based Decomposition"☆197Updated 3 months ago
- A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.☆473Updated last week
- [Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)☆322Updated 5 months ago
- ☆502Updated 4 months ago
- PyTorch codes for "LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning"☆234Updated 2 years ago
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆189Updated last year