IBM / online-alt-min
Source code for paper Choromanska et al. -- Beyond Backprop: Online Alternating Minimization with Auxiliary Variables -- http://proceedings.mlr.press/v97/choromanska19a.html
☆24Updated 5 years ago
Alternatives and similar repositories for online-alt-min:
Users that are interested in online-alt-min are comparing it to the libraries listed below
- This repository is no longer maintained. Check☆81Updated 4 years ago
- Meta-learning learning rates with higher☆12Updated 5 years ago
- The Deep Weight Prior, ICLR 2019☆44Updated 3 years ago
- ☆45Updated 5 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆45Updated 5 years ago
- Delta Orthogonal Initialization for PyTorch☆18Updated 6 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 3 weeks ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Implementation of Information Dropout☆39Updated 7 years ago
- Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."☆22Updated 5 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 4 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- ☆61Updated 2 years ago
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆64Updated 4 years ago
- Deep Neural Networks Entropy from Replicas☆32Updated 5 years ago
- ☆53Updated 6 years ago
- ☆25Updated 2 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆34Updated 4 years ago
- Neural Ensemble Search for Uncertainty Estimation and Dataset Shift☆33Updated 11 months ago
- Code for Stochastic Hyperparameter Optimization through Hypernetworks☆23Updated 6 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 5 years ago
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆38Updated 3 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆35Updated 4 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Updated 5 years ago
- Lua implementation of Entropy-SGD☆81Updated 6 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆75Updated last year
- Code base for SRSGD.☆28Updated 5 years ago
- Ἀνατομή is a PyTorch library to analyze representation of neural networks☆62Updated last year