git-disl / recapLinks
Code for CVPR24 Paper - Resource-Efficient Transformer Pruning for Finetuning of Large Models
☆12Updated 2 months ago
Alternatives and similar repositories for recap
Users that are interested in recap are comparing it to the libraries listed below
Sorting:
- Awesome-Low-Rank-Adaptation☆126Updated last year
- An Numpy and PyTorch Implementation of CKA-similarity with CUDA support☆94Updated 4 years ago
- [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation☆76Updated 3 years ago
- Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated…☆29Updated 2 years ago
- [ICCV23] Robust Mixture-of-Expert Training for Convolutional Neural Networks by Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Hua…☆66Updated 2 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆55Updated 2 years ago
- Awesome Pruning. ✅ Curated Resources for Neural Network Pruning.☆172Updated last year
- FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion (NeurIPS 2024 Spotlight)☆13Updated 9 months ago
- In progress.☆67Updated last year
- PyTorch code for our paper "Resource-Adaptive Federated Learning with All-In-One Neural Composition" (NeurIPS2022)☆19Updated 3 years ago
- Reimplmentation of Visualizing the Loss Landscape of Neural Nets with PyTorch 1.8☆30Updated 3 years ago
- [ICML2024] "FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees" by Jiaha…☆14Updated last year
- Official Repository for MocoSFL (accepted by ICLR '23, notable 5%)☆53Updated 2 years ago
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆24Updated 2 months ago
- ☆116Updated last year
- ☆18Updated 3 years ago
- [IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation☆73Updated 3 years ago
- (CVPR 2024) Communication-Efficient Federated Learning with Accelerated Client Gradient☆38Updated 4 months ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆115Updated 2 years ago
- The official repo for CVPR2023 highlight paper "Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization".☆84Updated 2 years ago
- A generic code base for neural network pruning, especially for pruning at initialization.☆31Updated 3 years ago
- ☆62Updated last year
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆80Updated 10 months ago
- ☆12Updated 2 years ago
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆40Updated 2 years ago
- This resposity maintains a collection of important papers on knowledge distillation (awesome-knowledge-distillation)).☆82Updated 9 months ago
- "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.☆34Updated 2 years ago
- [DMLR 2024] FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things☆59Updated last year
- ☆89Updated 2 years ago
- Code for Adaptive Deep Neural Network Inference Optimization with EENet☆12Updated last year