danczs / NetworkAdjustmentLinks
☆12Updated 4 years ago
Alternatives and similar repositories for NetworkAdjustment
Users that are interested in NetworkAdjustment are comparing it to the libraries listed below
Sorting:
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆22Updated 5 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆43Updated 3 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Filter Sketch for Network Pruning☆53Updated 4 years ago
- ☆20Updated 2 years ago
- Code repositoy for "AOWS: Adaptive and optimal network width search with latency constraints", CVPR 2020☆36Updated 5 years ago
- Yet Another Pytorch Distributed MobileNetV2-based Networks Implementation☆63Updated 5 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆65Updated 3 years ago
- PyTorch implementation of "Single-Path NAS: Device-Aware Efficient ConvNet Design"☆37Updated 3 years ago
- ☆30Updated 3 years ago
- [CVPR 2021] Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator☆39Updated 3 years ago
- AutoGrow: Automatic Layer Growing in Deep Convolutional Networks (KDD 2020)☆40Updated 6 years ago
- Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search☆16Updated last year
- This project is the Torch implementation of our accepted CVPR 2019 paper, Iterative Normalization: Beyond Standardization towards Effic…☆25Updated 4 years ago
- Role-Wise Data Augmentation for Knowledge Distillation☆19Updated 3 years ago
- ProxylessNAS-Pytorch☆24Updated 6 years ago
- ☆35Updated 5 years ago
- [NeurIPS 2019] E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy☆21Updated 6 years ago
- MixPath: A Unified Approach for One-shot Neural Architecture Search☆29Updated 5 years ago
- Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.☆24Updated 5 years ago
- Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression" ICCV2019☆18Updated 3 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 5 years ago
- Advanced optimizer with Gradient-Centralization☆21Updated 5 years ago
- Codebase for the paper "A Gradient Flow Framework for Analyzing Network Pruning"☆20Updated 4 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters☆23Updated 4 years ago
- ☆51Updated 6 years ago
- Cyclic Differentiable Architecture Search☆36Updated 3 years ago
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Updated 4 years ago
- [CVPR 2021] Contrastive Neural Architecture Search with Neural Architecture Comparators☆40Updated 3 years ago
- ☆54Updated 5 years ago
- ☆47Updated 5 years ago