hunto / DiffKD
Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023
☆83Updated last year
Alternatives and similar repositories for DiffKD:
Users that are interested in DiffKD are comparing it to the libraries listed below
- [NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions☆60Updated last year
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆106Updated last year
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆90Updated last year
- [ICLR2024] Exploring Target Representations for Masked Autoencoders☆55Updated last year
- [ICCV 2023 oral] This is the official repository for our paper: ''Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning''.☆70Updated last year
- ☆43Updated last year
- [ICCV 23]An approach to enhance the efficiency of Vision Transformer (ViT) by concurrently employing token pruning and token merging tech…☆95Updated last year
- [ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass☆186Updated last year
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆182Updated last year
- Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment, arXiv 2024 / CVPR 2025☆27Updated 2 months ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆128Updated 5 months ago
- [CVPR-22] This is the official implementation of the paper "Adavit: Adaptive vision transformers for efficient image recognition".☆52Updated 2 years ago
- [CVPR'23 & TPAMI'25] Hard Patches Mining for Masked Image Modeling☆93Updated 3 weeks ago
- Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"☆105Updated last year
- ☆86Updated 2 years ago
- [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training☆75Updated 2 years ago
- ☆53Updated 2 years ago
- Efficient Dataset Distillation by Representative Matching☆113Updated last year
- [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"☆174Updated last year
- [ICCV 2023] Generative Prompt Model for Weakly Supervised Object Localization☆57Updated last year
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆102Updated 11 months ago
- This repository is the official implementation of our Autoregressive Pretraining with Mamba in Vision☆77Updated 10 months ago
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆62Updated 3 months ago
- Implementation of HAT https://arxiv.org/pdf/2204.00993☆50Updated last year
- Adapting LLaMA Decoder to Vision Transformer☆28Updated 11 months ago
- Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"☆92Updated last year
- Official PyTorch Code for "Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?" (https://arxiv.org/abs/2305.12954)☆46Updated last year
- Official implementation of the paper "Masked Autoencoders are Efficient Class Incremental Learners"☆42Updated 11 months ago
- ☆109Updated last year
- Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.☆72Updated last year