bolianchen / Data-Free-Learning-of-Student-NetworksLinks
☆21Updated 4 years ago
Alternatives and similar repositories for Data-Free-Learning-of-Student-Networks
Users that are interested in Data-Free-Learning-of-Student-Networks are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation of “Flexible Dataset Distillation: Learn Labels Instead of Images”☆42Updated 4 years ago
- [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…☆44Updated 3 years ago
- Data-Free Network Quantization With Adversarial Knowledge Distillation PyTorch☆30Updated 3 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
- ☆108Updated 3 years ago
- Source Code for ICML 2019 Paper "Shallow-Deep Networks: Understanding and Mitigating Network Overthinking"☆36Updated last year
- Code and pretrained models for paper: Data-Free Adversarial Distillation☆98Updated 2 years ago
- Unofficial pytorch implementation of Fourier Heat Map proposed in 'A Fourier Perspective on Model Robustness in Computer Vision' [Yin+, N…☆75Updated last year
- pytorch-tiny-imagenet☆180Updated last year
- Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"☆142Updated 5 years ago
- [AAAI-2020] Official implementation for "Online Knowledge Distillation with Diverse Peers".☆74Updated 2 years ago
- "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).☆51Updated 4 years ago
- [ CVPR 2021 Oral ] Pytorch implementation for "Adversarial Robustness under Long-Tailed Distribution"☆102Updated 4 years ago
- Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (ht…☆92Updated 2 years ago
- PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"☆64Updated 2 years ago
- ☆23Updated 4 years ago
- [NeurIPS-2021] Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data☆45Updated 2 years ago
- [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation☆72Updated 2 years ago
- ☆27Updated 4 years ago
- Reverse Cross Entropy for Adversarial Detection (NeurIPS 2018)☆45Updated 4 years ago
- Data-free knowledge distillation using Gaussian noise (NeurIPS paper)☆15Updated 2 years ago
- ZSKD with PyTorch☆31Updated 2 years ago
- [AAAI-2021, TKDE-2023] Official implementation for "Cross-Layer Distillation with Semantic Calibration".☆75Updated last year
- Official repo for PAC-Bayes Information Bottleneck. ICLR 2022.☆49Updated 3 years ago
- Implementation for the paper (CVPR Oral): High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks☆239Updated 4 years ago
- PyTorch implementation of "Feature Denoising for Improving Adversarial Robustness" on CIFAR10.☆35Updated 5 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆113Updated last year
- This is the code of CVPR'20 paper "Distilling Cross-Task Knowledge via Relationship Matching".☆49Updated 4 years ago
- [CVPR 2020] When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks☆124Updated 4 years ago
- pytorch implementation of Parametric Noise Injection for adversarial defense☆45Updated 5 years ago