yasar-rehman / FEDVSSL
This is the official impelementation of "FVSSL Algorithm"
☆24Updated last year
Alternatives and similar repositories for FEDVSSL
Users that are interested in FEDVSSL are comparing it to the libraries listed below
Sorting:
- ICLR 2023 - FedFA: Federated Feature Augmentation☆56Updated 2 years ago
- IJCAI 2021, "Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation"☆41Updated 2 years ago
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆40Updated 2 years ago
- [CVPRW 2023] "Many-Task Federated Learning: A New Problem Setting and A Simple Baseline" by Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth …☆12Updated last year
- ZSKD with PyTorch☆30Updated last year
- A generic code base for neural network pruning, especially for pruning at initialization.☆30Updated 2 years ago
- Data-free knowledge distillation using Gaussian noise (NeurIPS paper)☆15Updated 2 years ago
- Repo for the paper "Extrapolating from a Single Image to a Thousand Classes using Distillation"☆36Updated 10 months ago
- ☆22Updated 5 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆112Updated last year
- [NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective☆37Updated 2 years ago
- ☆27Updated 2 years ago
- Official repo for the WACV 2023 paper: Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer.☆29Updated last year
- FedCV: An Industrial-grade Federated Learning Framework for Diverse Computer Vision Tasks☆66Updated 10 months ago
- FedUL: Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients☆33Updated last year
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆33Updated last year
- Understanding Self-Supervised Learning in a non-IID Setting☆20Updated 2 years ago
- Official code for "Mean Shift for Self-Supervised Learning"☆57Updated 3 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated last year
- Re-thinking Federated Active Learning based on Inter-class Diversity (CVPR 2023)☆32Updated last year
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆65Updated 2 years ago
- Code for Double Blind CollaborativeLearning (DBCL)☆14Updated 4 years ago
- ☆21Updated 3 years ago
- [ICML2023] Revisiting Data-Free Knowledge Distillation with Poisoned Teachers☆23Updated 10 months ago
- TF-FD☆20Updated 2 years ago
- ☆22Updated 3 years ago
- PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"☆63Updated 2 years ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆60Updated 2 years ago
- PyTorch implementation for our paper EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels☆28Updated 4 years ago
- IJCV22 Attack your retrieval model via Query! They are not robust as you expected!☆47Updated 2 years ago