ArchipLab-LinfengZhang / pytorch-scalable-neural-networks
A pytorch implement of scalable neural netowrks.
☆23Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for pytorch-scalable-neural-networks
- ☆47Updated 4 years ago
- Knowledge Transfer via Dense Cross-layer Mutual-distillation (ECCV'2020)☆30Updated 4 years ago
- ☆22Updated 5 years ago
- ☆33Updated last year
- [AAAI-2020] Official implementation for "Online Knowledge Distillation with Diverse Peers".☆73Updated last year
- Code for ViTAS_Vision Transformer Architecture Search☆51Updated 3 years ago
- ☆9Updated 3 years ago
- PyTorch implementation for Channel Distillation☆100Updated 4 years ago
- ☆29Updated 4 years ago
- ☆26Updated 3 years ago
- PyTorch implementation for GAL.☆55Updated 4 years ago
- Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification☆81Updated 3 years ago
- Source code for 'Knowledge Distillation via Instance Relationship Graph'☆29Updated 5 years ago
- ☆19Updated 4 years ago
- S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)☆63Updated 3 years ago
- Implementation of the Heterogeneous Knowledge Distillation using Information Flow Modeling method☆24Updated 4 years ago
- Learning recognition/segmentation models without end-to-end training. 40%-60% less GPU memory footprint. Same training time. Better perfo…☆89Updated 2 years ago
- DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks https://arxiv.org/abs/1901.09229☆66Updated 3 years ago
- [CVPR 2021] Contrastive Neural Architecture Search with Neural Architecture Comparators☆40Updated 2 years ago
- A simple reimplement Online Knowledge Distillation via Collaborative Learning with pytorch☆48Updated last year
- Resolution adaptive network☆149Updated 2 years ago
- ☆60Updated 4 years ago
- ☆45Updated 3 years ago
- Dynamic Channel Pruning: Feature Boosting and Suppression☆17Updated 5 years ago
- Source Code for ICML 2019 Paper "Shallow-Deep Networks: Understanding and Mitigating Network Overthinking"☆35Updated 10 months ago
- Code for our ICML'2020 paper "Stabilizing Differentiable Architecture Search via Perturbation-based Regularization"☆76Updated 3 years ago
- PyTorch Implementation of CURL-Neural Network Pruning with Residual-Connections and Limited-Data☆22Updated 4 years ago
- ☆58Updated 2 years ago
- ☆117Updated 4 years ago
- Official Pytorch implementation of MixMo framework☆84Updated 3 years ago