Kennethborup / knowledgeDistillationLinks
PyTorch implementation of (Hinton) Knowledge Distillation and a base class for simple implementation of other distillation methods.
☆29Updated 4 years ago
Alternatives and similar repositories for knowledgeDistillation
Users that are interested in knowledgeDistillation are comparing it to the libraries listed below
Sorting:
- IJCAI 2021, "Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation"☆42Updated 2 years ago
- PyTorch, PyTorch Lightning framework for trying knowledge distillation in image classification problems☆32Updated last year
- Stochastic Weight Averaging Tutorials using pytorch.☆33Updated 4 years ago
- [ICLR 2021 Spotlight Oral] "Undistillable: Making A Nasty Teacher That CANNOT teach students", Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Che…☆82Updated 3 years ago
- Repo to reproduce results for Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning☆25Updated 2 years ago
- ZSKD with PyTorch☆31Updated 2 years ago
- Soft-Label Dataset Distillation and Text Dataset Distillation☆74Updated 2 years ago
- Advances in Neural Information Processing Systems (NeurIPS 2021)☆22Updated 2 years ago
- ☆109Updated 2 years ago
- ☆10Updated 3 years ago
- Paper List for Multi-Task Learning (focus on architectures and optimization for MTL)☆51Updated last year
- ☆95Updated last year
- This resposity maintains a collection of important papers on knowledge distillation (awesome-knowledge-distillation)).☆80Updated 6 months ago
- Data-free knowledge distillation using Gaussian noise (NeurIPS paper)☆15Updated 2 years ago
- ☆31Updated 4 months ago
- several types of attention modules written in PyTorch for learning purposes☆52Updated 11 months ago
- ☆19Updated 4 years ago
- Official Implementation of Robust Training under Label Noise by Over-parameterization☆64Updated 3 years ago
- PyTorch implementation of Soft MoE by Google Brain in "From Sparse to Soft Mixtures of Experts" (https://arxiv.org/pdf/2308.00951.pdf)☆78Updated last year
- Recycling diverse models☆45Updated 2 years ago
- A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models☆27Updated 3 years ago
- Implementation of TableFormer, Robust Transformer Modeling for Table-Text Encoding, in Pytorch☆39Updated 3 years ago
- Code for the paper "Pretrained Models for Multilingual Federated Learning" at NAACL 2022☆11Updated 3 years ago
- Contains notebooks for the PAR tutorial at CVPR 2021.☆36Updated 4 years ago
- FedCV: An Industrial-grade Federated Learning Framework for Diverse Computer Vision Tasks☆67Updated last year
- Benchmark for federated noisy label learning☆23Updated last year
- A Python Package for Deep Imbalanced Learning☆57Updated 2 months ago
- Code for Active Mixup in 2020 CVPR☆23Updated 3 years ago
- PyTorch implementation of moe, which stands for mixture of experts☆48Updated 4 years ago
- Self-Contrastive Learning: Single-viewed Supervised Contrastive Framework using Sub-network (AAAI 2023)☆20Updated last year