csyhhu / Co-Prune
Codes for accepted paper "Cooperative Pruning in Cross-Domain Deep Neural Network Compression" in IJCAI 2019.
☆12Updated 5 years ago
Alternatives and similar repositories for Co-Prune
Users that are interested in Co-Prune are comparing it to the libraries listed below
Sorting:
- Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"☆26Updated 5 years ago
- ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting☆13Updated 5 years ago
- Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search☆16Updated 9 months ago
- pytorch implementation of Structured Bayesian Pruning☆19Updated 6 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆21Updated 4 years ago
- ☆23Updated 6 years ago
- Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"☆18Updated 6 years ago
- Lookahead Optimizer: k steps forward, 1step back for MXNet☆21Updated 4 years ago
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Updated 3 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆33Updated 5 years ago
- Code for paper "Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking"☆18Updated 6 years ago
- Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19☆48Updated 5 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Updated 6 years ago
- Gradually Updated Neural Networks for Large-Scale Image Recognition at ICML 2018☆10Updated 6 years ago
- Code for paper "Continual and Multi-Task Architecture Search (ACL 2019)"☆41Updated 5 years ago
- Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …☆39Updated 2 years ago
- Learnable Embedding Space for Efficient Neural Architecture Compression☆29Updated 6 years ago
- ☆11Updated 4 years ago
- PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020☆50Updated 5 years ago
- ☆18Updated 5 years ago
- Pytorch implementation of TRP☆45Updated 4 years ago
- PyTorch Implementation of 'Deep Networks with Stochastic Depth'☆28Updated 6 years ago
- MixPath: A Unified Approach for One-shot Neural Architecture Search☆29Updated 4 years ago
- AutoGrow: Automatic Layer Growing in Deep Convolutional Networks (KDD 2020)☆39Updated 5 years ago
- Implementation of the Budgeted Super Networks☆25Updated 6 years ago
- Xuhong Li, Yves Grandvalet, and Franck Davoine. "Explicit Inductive Bias for Transfer Learning with Convolutional Networks." In ICML 2018…☆56Updated 6 years ago
- Reversible Recurrent Neural Network Pytorch Implementation☆21Updated 7 years ago
- Various implementations and experimentation for deep neural network model compression☆24Updated 6 years ago
- Tensorflow codes for "Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers"☆30Updated 5 years ago
- 3rd place solution for NeurIPS 2019 MicroNet challenge☆35Updated 5 years ago