git-disl / recapLinks
Code for CVPR24 Paper - Resource-Efficient Transformer Pruning for Finetuning of Large Models
☆11Updated 11 months ago
Alternatives and similar repositories for recap
Users that are interested in recap are comparing it to the libraries listed below
Sorting:
- FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion (NeurIPS 2024 Spotlight)☆12Updated 2 months ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆54Updated last year
- An Numpy and PyTorch Implementation of CKA-similarity with CUDA support☆91Updated 4 years ago
- Official Repository for MocoSFL (accepted by ICLR '23, notable 5%)☆52Updated 2 years ago
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆40Updated 2 years ago
- [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation☆70Updated 2 years ago
- Code for 'Multi-level Logit Distillation' (CVPR2023)☆64Updated 8 months ago
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆21Updated 10 months ago
- Federated Few-shot Learning for Mobile NLP. Conditionally accepted by MobiCom'23.☆16Updated last year
- Benchmark of robust self-supervised learning (RobustSSL) methods & Code for AutoLoRa (ICLR 2024).☆18Updated 11 months ago
- ☆86Updated 2 years ago
- In progress.☆64Updated last year
- ☆65Updated last year
- Prioritize Alignment in Dataset Distillation☆20Updated 6 months ago
- A generic code base for neural network pruning, especially for pruning at initialization.☆30Updated 2 years ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆39Updated 2 years ago
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆101Updated last year
- Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated…☆29Updated 2 years ago
- Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]☆32Updated 3 years ago
- Federated Dynamic Sparse Training☆30Updated 3 years ago
- The official implementation of TinyTrain [ICML '24]☆22Updated 10 months ago
- Official repo for the WACV 2023 paper: Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer.☆30Updated last year
- Re-thinking Federated Active Learning based on Inter-class Diversity (CVPR 2023)☆32Updated 2 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆113Updated last year
- A PyTorch implementation of Centered Kernel Alignment (CKA) with GPU acceleration.☆48Updated last year
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆34Updated 11 months ago
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆33Updated 2 years ago
- ☆38Updated 2 years ago
- ☆16Updated last year
- Selective Aggregation for Low-Rank Adaptation in Federated Learning [ICLR 2025]☆35Updated last month