Implementation of paper "Towards a Unified View of Parameter-Efficient Transfer Learning" (ICLR 2022)
☆543Mar 24, 2022Updated 3 years ago
Alternatives and similar repositories for unify-parameter-efficient-tuning
Users that are interested in unify-parameter-efficient-tuning are comparing it to the libraries listed below
Sorting:
- PyTorch codes for "LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning"☆241Jan 20, 2023Updated 3 years ago
- This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)☆104Dec 1, 2022Updated 3 years ago
- A Unified Library for Parameter-Efficient and Modular Transfer Learning☆2,801Updated this week
- PyTorch code for "VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks" (CVPR2022)☆209Dec 18, 2022Updated 3 years ago
- Prefix-Tuning: Optimizing Continuous Prompts for Generation☆958Apr 26, 2024Updated last year
- A plug-and-play library for parameter-efficient-tuning (Delta Tuning)☆1,040Sep 19, 2024Updated last year
- [NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"☆378Sep 16, 2022Updated 3 years ago
- Code for paper "UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning", ACL 2022☆63Mar 23, 2022Updated 3 years ago
- [ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass☆198Aug 1, 2023Updated 2 years ago
- On the Effectiveness of Parameter-Efficient Fine-Tuning☆38Nov 4, 2023Updated 2 years ago
- Must-read papers on prompt-based tuning for pre-trained language models.☆4,293Jul 17, 2023Updated 2 years ago
- Towards a Unified View on Visual Parameter-Efficient Transfer Learning☆26Oct 13, 2022Updated 3 years ago
- A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.☆412Sep 26, 2024Updated last year
- ☆131Aug 18, 2022Updated 3 years ago
- ❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119☆1,215Sep 2, 2023Updated 2 years ago
- ICML'2022: Black-Box Tuning for Language-Model-as-a-Service & EMNLP'2022: BBTv2: Towards a Gradient-Free Future with Large Language Model…☆271Nov 8, 2022Updated 3 years ago
- Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ …☆473Jul 30, 2024Updated last year
- Parameter Efficient Transfer Learning with Diff Pruning☆75Feb 3, 2021Updated 5 years ago
- ☆156Aug 24, 2021Updated 4 years ago
- [TPAMI] Searching prompt modules for parameter-efficient transfer learning.☆238Dec 8, 2023Updated 2 years ago
- AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning (Zhou et al.; TACL 2024)☆51Mar 17, 2024Updated last year
- Original Implementation of Prompt Tuning from Lester, et al, 2021☆697Mar 6, 2025Updated last year
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆194Oct 10, 2023Updated 2 years ago
- An original implementation of "Noisy Channel Language Model Prompting for Few-Shot Text Classification"☆131Apr 23, 2022Updated 3 years ago
- Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"☆456Sep 6, 2023Updated 2 years ago
- Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"☆1,230Mar 10, 2024Updated last year
- Must-read Papers of Parameter-Efficient Tuning (Delta Tuning) Methods on Pre-trained Models.☆283Jun 27, 2023Updated 2 years ago
- A curated list of prompt-based paper in computer vision and vision-language learning.☆925Dec 18, 2023Updated 2 years ago
- ☆35Mar 2, 2023Updated 3 years ago
- Paper List for In-context Learning 🌷☆874Oct 8, 2024Updated last year
- ☆23Oct 15, 2022Updated 3 years ago
- Code for EMNLP 2021 paper: Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting☆17Nov 30, 2021Updated 4 years ago
- [NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation☆475Mar 7, 2024Updated last year
- ☆661Nov 28, 2023Updated 2 years ago
- Official code of our work, Syntax-augmented Multilingual BERT for Cross-lingual Transfer [ACL 2021].☆16Dec 2, 2021Updated 4 years ago
- Code for: "Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models"☆20Feb 2, 2022Updated 4 years ago
- 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.☆20,717Updated this week
- ☆177Jul 24, 2024Updated last year
- [EMNLP 2022] Training Language Models with Memory Augmentation https://arxiv.org/abs/2205.12674☆195Jun 14, 2023Updated 2 years ago