nmasse / Context-Dependent-GatingLinks
Algorithm to alleviate catastrophic forgetting in neural networks by gating hidden units
☆24Updated 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:
- Code for "Deep predictive coding network for object recognition"☆25Updated 5 years ago
- ☆47Updated 6 years ago
- Code for "Recurrent Independent Mechanisms"☆120Updated 3 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- ☆28Updated 6 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆43Updated 6 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆52Updated 4 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- Limitations of the Empirical Fisher Approximation☆49Updated 9 months ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆58Updated 4 years ago
- Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding☆73Updated 4 years ago
- Uniform Writing & Cached Uniform Writing☆27Updated 6 years ago
- Implementation of Bayesian Gradient Descent☆37Updated 2 years ago
- Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017☆108Updated 7 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆142Updated 6 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆74Updated 9 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 8 years ago
- Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)☆163Updated 2 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆27Updated 6 years ago
- Meta-Learning with Warped Gradient Descent☆92Updated 4 years ago
- Memory efficient MAML using gradient checkpointing☆86Updated 6 years ago
- A pytorch compatible data loader to create sequence of tasks for Continual Learning☆32Updated 5 years ago
- A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN☆18Updated 7 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
- This is a self-contained memory module for the Dynamic Kanerva Machine, as reported in the NIPS 2018 paper: Learning Attractor Dynamics f…☆44Updated 6 years ago
- Growing Dual-Memory Self-Organizing Networks☆25Updated 6 years ago
- Deep Learning without Weight Transport☆36Updated 6 years ago
- Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…☆35Updated 6 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆102Updated 7 years ago