NVlabs / DeepInversion
Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)
☆490Updated last year
Alternatives and similar repositories for DeepInversion:
Users that are interested in DeepInversion are comparing it to the libraries listed below
- Open-source code for paper "Dataset Distillation"☆779Updated 2 years ago
- [ECCV2020] Knowledge Distillation Meets Self-Supervision☆236Updated 2 years ago
- Implementation for the paper "Adversarial Continual Learning" in PyTorch.☆255Updated last year
- pytorch-tiny-imagenet☆169Updated last year
- Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization☆583Updated last year
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆981Updated 5 months ago
- ImageNet-R(endition) and DeepAugment (ICCV 2021)☆258Updated 3 years ago
- Code and pretrained models for paper: Data-Free Adversarial Distillation☆95Updated 2 years ago
- Implementation for the paper (CVPR Oral): High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks☆237Updated 3 years ago
- Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019☆397Updated 3 years ago
- Pretrained models on CIFAR10/100 in PyTorch☆328Updated last year
- Corruption and Perturbation Robustness (ICLR 2019)☆1,039Updated 2 years ago
- Unofficial PyTorch Reimplementation of RandAugment.☆631Updated last year
- Pruning Neural Networks with Taylor criterion in Pytorch☆316Updated 5 years ago
- Tools for generating mini-ImageNet dataset and processing batches☆430Updated 4 years ago
- Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)☆508Updated 5 months ago
- Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019☆914Updated last year
- Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"☆409Updated 6 months ago
- ☆314Updated 9 months ago
- ☆222Updated 5 months ago
- Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)☆339Updated 5 months ago
- PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)☆464Updated 2 years ago
- Code for reproducing Manifold Mixup results (ICML 2019)☆486Updated 9 months ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆266Updated 3 years ago
- Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural N…☆299Updated 4 years ago
- ☆401Updated 2 years ago
- Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning☆231Updated 6 years ago
- Wide Residual Networks (WideResNets) in PyTorch☆336Updated 3 years ago
- MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.☆693Updated 3 years ago