nmasse / Context-Dependent-GatingLinks
Algorithm to alleviate catastrophic forgetting in neural networks by gating hidden units
☆23Updated 5 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:
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Code for "Recurrent Independent Mechanisms"☆118Updated 3 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆43Updated 6 years ago
- ☆45Updated 6 years ago
- Code for "Deep predictive coding network for object recognition"☆25Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- A machine learning library for PyTorch☆94Updated 3 years ago
- Tensorflow implementation of the `intelligent synapse' model from [Zenke et al., (2017)] and application to the Permuted MNIST benchmark.☆22Updated 8 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 7 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding☆73Updated 3 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆57Updated 4 years ago
- Limitations of the Empirical Fisher Approximation☆48Updated 8 months ago
- Pytorch implementation of SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆21Updated 7 years ago
- Implementation of Bayesian Gradient Descent☆37Updated 2 years ago
- Geometric Certifications of Neural Nets☆42Updated 2 years ago
- ☆28Updated 6 years ago
- Meta-Learning with Warped Gradient Descent☆92Updated 4 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆54Updated 6 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆73Updated 9 years ago
- Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).☆22Updated 3 years ago
- Deep Learning without Weight Transport☆36Updated 6 years ago
- Growing Dual-Memory Self-Organizing Networks☆25Updated 6 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Biologically-realistic recurrent convolutional neural networks☆98Updated 2 years ago
- Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…☆35Updated 5 years ago
- ☆29Updated 4 years ago