mmrl / disent-and-genLinks
Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).
☆22Updated 3 years ago
Alternatives and similar repositories for disent-and-gen
Users that are interested in disent-and-gen are comparing it to the libraries listed below
Sorting:
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆42Updated 6 years ago
- Code for "Recurrent Independent Mechanisms"☆118Updated 3 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- Measuring compositionality in representation learning☆73Updated 6 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- ☆78Updated 2 months ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Memory efficient MAML using gradient checkpointing☆85Updated 5 years ago
- ☆34Updated 3 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)☆100Updated 3 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 8 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- code to reproduce the empirical results in the research paper☆36Updated 3 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)