jayheo / UALinks
☆24Updated 6 years ago
Alternatives and similar repositories for UA
Users that are interested in UA are comparing it to the libraries listed below
Sorting:
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆54Updated 2 years ago
- ☆63Updated 4 years ago
- Domain Generalization via Model-Agnostic Learning of Semantic Features☆148Updated 2 years ago
- This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), …☆70Updated 3 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 6 years ago
- MAML implementation (tensorflow)☆14Updated 6 years ago
- ☆30Updated 7 years ago
- Original implementation of Separated Paths for Local and Global Information framework (SPLIT) in TensorFlow 2.☆19Updated 2 years ago
- ☆46Updated 4 years ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆137Updated 5 years ago
- Semi-supervised learning via Compact Latent Space Clustering☆49Updated 6 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 5 years ago
- Visual Explanation using Uncertainty based Class Activation Maps☆23Updated 5 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆102Updated 5 years ago
- Generalizing to unseen domains via distribution matching☆72Updated 4 years ago
- Description Code for the paper "Robust Inference via Generative Classifiers for Handling Noisy Labels".☆33Updated 5 years ago
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 3 years ago
- Algorithms for abstention, calibration and domain adaptation to label shift.☆36Updated 4 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
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆100Updated 4 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 4 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆75Updated 4 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆140Updated 7 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 4 years ago
- Explaining Image Classifiers by Counterfactual Generation☆28Updated 3 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆31Updated 8 months ago
- ☆84Updated last year
- Code for paper EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE☆40Updated 2 years ago
- ☆37Updated 4 years ago