gaosh / Structured-Bayesian-Pruning-pytorchLinks
pytorch implementation of Structured Bayesian Pruning
☆19Updated 6 years ago
Alternatives and similar repositories for Structured-Bayesian-Pruning-pytorch
Users that are interested in Structured-Bayesian-Pruning-pytorch are comparing it to the libraries listed below
Sorting:
- ☆23Updated 6 years ago
- Codes for accepted paper "Cooperative Pruning in Cross-Domain Deep Neural Network Compression" in IJCAI 2019.☆12Updated 5 years ago
- Implementation of the Budgeted Super Networks☆25Updated 6 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 6 years ago
- Pytorch implementation of TRP☆45Updated 4 years ago
- Code for paper "Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking"☆18Updated 6 years ago
- This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks…☆18Updated last year
- Code for BlockSwap (ICLR 2020).☆33Updated 4 years ago
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Updated 3 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
- Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks☆18Updated 5 years ago
- Towards Robust ResNet: A Small Step but a Giant Leap (IJCAI 2019)☆9Updated 4 years ago
- Learnable Embedding Space for Efficient Neural Architecture Compression☆29Updated 6 years ago
- Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search☆16Updated 11 months ago
- Various implementations and experimentation for deep neural network model compression☆24Updated 6 years ago
- SupportNet: solving catastrophic forgetting in class incremental learning with support data☆34Updated 6 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 6 years ago
- Generalized Framework for PyTorch☆32Updated 3 years ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Updated 5 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆57Updated 6 years ago
- Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee☆60Updated 7 years ago
- ☆34Updated 6 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆33Updated 5 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting☆13Updated 6 years ago
- On the decision boundary of deep neural networks☆38Updated 6 years ago
- ☆18Updated 5 years ago
- An Implementation of "Small steps and giant leaps: Minimal Newton solvers for Deep Learning" In pytorch☆21Updated 6 years ago
- [ICLR 2019] ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees☆32Updated 5 years ago
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Updated 4 years ago