nmasse / Context-Dependent-GatingLinks
Algorithm to alleviate catastrophic forgetting in neural networks by gating hidden units
☆23Updated 4 years ago
Alternatives and similar repositories for Context-Dependent-Gating
Users that are interested in Context-Dependent-Gating are comparing it to the libraries listed below
Sorting:
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- PyTorch implementation of AVF☆45Updated 4 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆42Updated 6 years ago
- Implementation of Information Dropout☆39Updated 7 years ago
- Implementation of Bayesian Gradient Descent☆37Updated last year
- Pytorch implementation of SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆21Updated 7 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 3 months ago
- Code for Stochastic Hyperparameter Optimization through Hypernetworks☆23Updated 7 years ago
- Code for "Recurrent Independent Mechanisms"☆118Updated 3 years ago
- Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).☆22Updated 3 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated 2 years ago
- Growing Dual-Memory Self-Organizing Networks☆25Updated 6 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Implementation of the Functional Neural Process models☆43Updated 4 years ago
- ☆45Updated 5 years ago
- Tensorflow implementation of the `intelligent synapse' model from [Zenke et al., (2017)] and application to the Permuted MNIST benchmark.☆22Updated 7 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 5 years ago
- ☆32Updated 6 years ago
- Geometric Certifications of Neural Nets☆42Updated 2 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- ☆26Updated 6 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 6 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago