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
- ☆352Updated 5 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated 11 months ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆139Updated 5 years ago
- ☆109Updated 2 years ago
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆345Updated 4 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆145Updated 5 years ago
- ☆75Updated 10 months ago
- An unofficial implementation of MixMatch using fastai and Pytorch☆23Updated 5 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
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆74Updated 5 years ago
- Highlevel framework for starting Deep Learning projects (lightweight, flexible, easy to extend)☆195Updated 2 years ago
- On disentangling the menagerie of disentanglement papers☆27Updated 5 years ago
- Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857☆59Updated 5 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆140Updated 7 years ago
- Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset☆169Updated 7 years ago
- This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.☆182Updated 3 years ago
- Calibration of Convolutional Neural Networks☆161Updated last year
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆400Updated 4 years ago
- Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations☆89Updated 4 years ago
- Batch equivalent of PyTorch Transforms.☆38Updated 3 years ago
- Implementation of Pre-text invariant representation learning algorithm in pytorch☆11Updated 4 years ago
- Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations☆285Updated 2 years ago
- SmoothGrad implementation in PyTorch☆171Updated 3 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- Hypergradient descent☆145Updated 10 months ago
- ☆90Updated 5 years ago
- Code for Unsupervised Learning via Meta-Learning.☆120Updated 5 years ago
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆37Updated 4 years ago
- Deep Learning under Privileged Information Using Heteroscedastic Dropout (CVPR 2018, Official Repo)☆38Updated 3 years ago