wenwei202 / autogrow
AutoGrow: Automatic Layer Growing in Deep Convolutional Networks (KDD 2020)
☆39Updated 5 years ago
Alternatives and similar repositories for autogrow:
Users that are interested in autogrow are comparing it to the libraries listed below
- Tensorflow codes for "Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers"☆30Updated 5 years ago
- MixPath: A Unified Approach for One-shot Neural Architecture Search☆28Updated 4 years ago
- Filter Response Normalization tested on better ImageNet baselines.☆35Updated 4 years ago
- Code repositoy for "AOWS: Adaptive and optimal network width search with latency constraints", CVPR 2020☆36Updated 4 years ago
- Pytorch implementation of TRP☆44Updated 4 years ago
- PyTorch implementation of "Single-Path NAS: Device-Aware Efficient ConvNet Design"☆36Updated 2 years ago
- [CVPR 2021] Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator☆38Updated 2 years ago
- SparseMask: Differentiable Connectivity Learning for Dense Image Prediction.☆51Updated 5 years ago
- PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020☆50Updated 5 years ago
- Learnable Embedding Space for Efficient Neural Architecture Compression☆29Updated 5 years ago
- Dynamic Distribution Pruning for Efficient Network Architecture Search☆48Updated 5 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Updated 5 years ago
- ☆23Updated 6 years ago
- Yet Another Pytorch Distributed MobileNetV2-based Networks Implementation☆64Updated 4 years ago
- PyTorch Implementation of 'Deep Networks with Stochastic Depth'☆28Updated 6 years ago
- ☆45Updated 5 years ago
- Simple experiment of Apex (A PyTorch Extension)☆47Updated 5 years ago
- Training wide residual networks for deployment using a single bit for each weight☆36Updated 4 years ago
- ☆40Updated 5 years ago
- ☆50Updated 6 years ago
- [ECCV18] Constraint-Aware Deep Neural Network Compression☆12Updated 6 years ago
- Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19☆48Updated 5 years ago
- ☆19Updated last year
- PyTorch implementation of Dynamic Grouping Convolution and Groupable ConvNet with pre-trained G-ResNeXt models☆69Updated 4 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 4 years ago
- Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.☆23Updated 4 years ago
- ☆18Updated 5 years ago
- Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression☆47Updated last year