ermongroup / ssdkl
Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
☆74Updated 5 years ago
Alternatives and similar repositories for ssdkl:
Users that are interested in ssdkl are comparing it to the libraries listed below
- Implementation of Co-training Regressors (COREG) semi-supervised regression algorithm from Zhou and Li, 2005.☆59Updated 6 years ago
- The code for the cycle wasserstein regression generative adversarial network model for semi supervised bi-directional regression.☆23Updated 6 years ago
- A Python implementation of Kernel Mean Matching data reweighting algorithm☆33Updated 9 years ago
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated last year
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆136Updated 7 years ago
- Learning error bars for neural network predictions☆69Updated 5 years ago
- Joint distribution optimal transportation for domain adaptation☆95Updated 7 years ago
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆202Updated 2 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆74Updated 5 years ago
- ☆68Updated 5 years ago
- PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)☆124Updated 4 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 5 years ago
- ☆159Updated 7 years ago
- Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)☆58Updated last year
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆99Updated 4 years ago
- ☆40Updated last year
- Generative Adversarial Minority Oversampling☆32Updated 5 years ago
- Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates☆109Updated 4 years ago
- Semi-supervised Regression GAN☆38Updated 4 years ago
- ☆25Updated 5 years ago
- MisGAN: Learning from Incomplete Data with GANs☆80Updated last year
- ☆20Updated 3 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆39Updated 6 years ago
- Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)☆41Updated 2 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 5 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆99Updated 5 years ago
- Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018☆40Updated 6 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆94Updated 7 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆152Updated 2 years ago