cpury / keras_gradient_noise
Add gradient noise to any Keras optimizer
☆37Updated 4 years ago
Related projects: ⓘ
- Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based N…☆65Updated 10 years ago
- Code for Fong and Vedaldi 2017, "Interpretable Explanations of Black Boxes by Meaningful Perturbation"☆31Updated 4 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 4 years ago
- ☆61Updated last year
- Code for Stochastic Hyperparameter Optimization through Hypernetworks☆23Updated 6 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆109Updated 5 years ago
- ☆131Updated 6 years ago
- Computing various norms/measures on over-parametrized neural networks☆48Updated 5 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆67Updated 4 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 4 years ago
- Implementation of Conditionally Shifted Neurons by Munkhdalai et al. (https://arxiv.org/pdf/1712.09926.pdf)☆29Updated 6 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆135Updated 5 years ago
- Repository of the Study Project "Understanding learning in deep neural networks with the help of information theory"☆24Updated last year
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 6 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆45Updated 6 years ago
- Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761☆37Updated 6 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆57Updated 6 years ago
- Deep variational inference in tensorflow☆56Updated 6 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆50Updated 6 years ago
- Delta Orthogonal Initialization for PyTorch☆18Updated 6 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆123Updated 5 years ago
- A simple snapshotting system for managing research results using Git.☆30Updated 5 years ago
- ☆81Updated 6 years ago
- RP-GAN: Stable GAN Training with Random Projections☆20Updated 6 years ago
- ☆35Updated 7 years ago
- Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"☆137Updated 7 years ago
- Second-order optimiser for deep networks☆76Updated 5 years ago
- An implementation of MixMatch with PyTorch☆37Updated 3 years ago
- Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013☆93Updated 7 years ago
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆117Updated 6 years ago