yli96 / DSEBMLinks
Deep Structured Energy Based Model
☆11Updated 7 years ago
Alternatives and similar repositories for DSEBM
Users that are interested in DSEBM are comparing it to the libraries listed below
Sorting:
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆66Updated 2 years ago
- Mixture of Generative Adversarial Networks for Clustering☆16Updated 7 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 6 years ago
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 5 years ago
- PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"☆20Updated 4 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆75Updated 4 years ago
- ☆83Updated last year
- Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019☆27Updated 5 years ago
- Wasserstein Based Domain Adaptation Model☆46Updated 6 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆74Updated 6 years ago
- An adversarial autoencoder implementation in pytorch☆84Updated 6 years ago
- Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…☆42Updated 4 years ago
- ☆80Updated 3 years ago
- ☆68Updated 6 years ago
- Hyperspherical Prototype Networks☆67Updated 5 years ago
- ☆26Updated 6 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 4 years ago
- truncated Gaussian-Mixture Variational AutoEncoder☆11Updated 6 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 6 years ago
- ☆53Updated 7 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆38Updated 6 years ago
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆153Updated 5 years ago
- ☆42Updated 6 years ago
- code for the ICML paper "SelectiveNet - A Deep Neural Network with an Integrated Reject Option"☆46Updated 6 years ago
- ☆26Updated 6 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- Code for Unsupervised Learning via Meta-Learning.☆67Updated 4 years ago
- Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018☆40Updated 6 years ago
- rich posterior approximations and anomaly detection☆20Updated 6 years ago
- In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…☆41Updated 4 years ago