vivien000 / auxiliary-learning
Experiments on auxiliary learning
☆16Updated 4 years ago
Alternatives and similar repositories for auxiliary-learning:
Users that are interested in auxiliary-learning are comparing it to the libraries listed below
- PyTorch Implementation of Contrastive Predictive Coding for image recognition, based on research papers https://arxiv.org/abs/1807.03748 …☆82Updated 5 years ago
- Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset☆168Updated 7 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆110Updated 6 years ago
- Visualizing how deep networks make decisions☆66Updated 5 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆145Updated 4 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- On disentangling the menagerie of disentanglement papers☆27Updated 5 years ago
- Code for paper Unsupervised Object Segmentation by Redrawing☆176Updated 4 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆139Updated 5 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆80Updated 9 months ago
- Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"☆142Updated 5 years ago
- SmoothGrad implementation in PyTorch☆171Updated 3 years ago
- ☆351Updated 4 years ago
- Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf☆103Updated 3 years ago
- FAIR Self-Supervised Learning Integrated Multi-modal Environment (SSLIME)☆69Updated 3 years ago
- ☆89Updated 5 years ago
- Variational Auto Encoder☆39Updated 7 years ago
- ☆180Updated last year
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆400Updated 4 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆140Updated 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
- Light version of Network Dissection for Quantifying Interpretability of Networks☆217Updated 5 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆201Updated 7 years ago
- Code for Unsupervised Learning via Meta-Learning.☆120Updated 5 years ago
- Code repository for the small image experiments our paper 'Self-ensembling for Domain Adaptation'☆193Updated 5 years ago
- ☆75Updated 8 months ago
- ☆26Updated 5 years ago
- Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.☆142Updated 8 months ago
- Prescribed Generative Adversarial Networks☆143Updated 4 years ago