johnwlambert / dlupi-heteroscedastic-dropout
Deep Learning under Privileged Information Using Heteroscedastic Dropout (CVPR 2018, Official Repo)
☆38Updated 3 years ago
Alternatives and similar repositories for dlupi-heteroscedastic-dropout:
Users that are interested in dlupi-heteroscedastic-dropout are comparing it to the libraries listed below
- Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018☆63Updated 5 years ago
- Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018☆130Updated 6 years ago
- Train and evaluate VOC 2007 / 2012 image classification models. We used this code to evaluate several feature learning algorithms.☆48Updated 8 years ago
- ☆34Updated 6 years ago
- Code and data of the "Multi-domain adversarial learning" paper, Schoenauer-Sebag et al., accepted at ICLR 2019☆38Updated 3 years ago
- Code for TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning (CVPR 2019)☆55Updated 4 years ago
- MatConvNet: CNNs for MATLAB☆51Updated 7 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆58Updated 6 years ago
- Code repository for the VisDA-17 experiments in our paper 'Self-ensembling for Domain Adaptation'☆73Updated 2 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆176Updated 6 years ago
- ☆44Updated 6 years ago
- Implementation of Deep Linear Discriminant Analysis (DeepLDA)☆48Updated 8 years ago
- Domain Adaptation Based on the Triplet Loss☆113Updated 5 years ago
- ☆22Updated 5 years ago
- This repository has the pytorch implementation of the paper 'Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders…☆21Updated 5 years ago
- Implementation of "Adversarial Discriminative Domain Adaptation" on pytorch☆31Updated 7 years ago
- Code release for Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation (ICML 2019)☆63Updated 5 years ago
- IBD: Interpretable Basis Decomposition for Visual Explanation☆52Updated 6 years ago
- An adversarial autoencoder implementation in pytorch☆83Updated 5 years ago
- Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018☆40Updated 6 years ago
- [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment☆62Updated 2 years ago
- TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER☆118Updated 7 years ago
- CVPR 2018 Hierarchical Novelty Detection for Visual Object Recognition☆38Updated 6 years ago
- Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper☆93Updated 6 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆201Updated 7 years ago
- AutoDIAL Caffe Implementation☆27Updated 7 years ago
- Code release for "Partial Adversarial Domain Adaptation" (ECCV 2018)☆99Updated 6 years ago
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Updated last year
- ☆58Updated last year
- Code for the Paper "Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification"☆23Updated 4 years ago