sndnyang / imagenet64x64
The link to the stored-in-image imagenet64x64 dataset. And a resnet/wrn code for it.
☆16Updated 2 years ago
Alternatives and similar repositories for imagenet64x64:
Users that are interested in imagenet64x64 are comparing it to the libraries listed below
- [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation☆67Updated 2 years ago
- Transformers trained on Tiny ImageNet☆49Updated 2 years ago
- [IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation☆69Updated 2 years ago
- (Pytorch) Training ResNets on ImageNet-100 data☆54Updated 2 years ago
- ☆22Updated last year
- ☆26Updated 9 months ago
- [NeurIPS-2021] Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data☆44Updated 2 years ago
- Data-Free Network Quantization With Adversarial Knowledge Distillation PyTorch☆29Updated 3 years ago
- ☆83Updated last year
- Implementation of HAT https://arxiv.org/pdf/2204.00993☆48Updated 9 months ago
- Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)☆132Updated last year
- [ICCV 2021] Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain☆74Updated 2 years ago
- ☆16Updated 2 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆107Updated last year
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆20Updated 2 years ago
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆46Updated 2 years ago
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆79Updated 11 months ago
- ☆22Updated 4 years ago
- ☆109Updated last year
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated last year
- Efficient Dataset Distillation by Representative Matching☆110Updated 10 months ago
- Data-Free Knowledge Distillation☆20Updated 2 years ago
- [ICLR 2023] Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions☆26Updated last year
- PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 wit…☆176Updated 11 months ago
- Official code implement of Robust Classification via a Single Diffusion Model☆67Updated 8 months ago
- Code for "Training on Thin Air: Improve Image Classification with Generated Data"☆45Updated last year
- Official Code for AdvRush: Searching for Adversarially Robust Neural Architectures (ICCV '21)☆11Updated 3 years ago
- [NeurIPS 2023] Structural Pruning for Diffusion Models☆173Updated 6 months ago
- [TPAMI 2023] Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces☆40Updated 2 years ago
- ☆24Updated last year