DuaneNielsen / DeepInfomaxPytorch
Learning deep representations by mutual information estimation and maximization
☆324Updated 6 years ago
Alternatives and similar repositories for DeepInfomaxPytorch:
Users that are interested in DeepInfomaxPytorch are comparing it to the libraries listed below
- Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"☆807Updated 5 years ago
- Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning☆120Updated 7 months ago
- A pytorch implementation of MINE(Mutual Information Neural Estimation)☆345Updated 6 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆204Updated 6 years ago
- Pytorch implementation of Deep Variational Information Bottleneck☆185Updated 6 years ago
- Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)☆286Updated last year
- Code for Unsupervised Embedding Learning via Invariant and Spreading Instance Feature☆209Updated 5 years ago
- PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning☆354Updated 5 years ago
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆401Updated 4 years ago
- Virtual Adversarial Training (VAT) implementation for PyTorch☆296Updated 6 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆173Updated 3 years ago
- ☆153Updated 5 years ago
- NeurIPS 2020, Debiased Contrastive Learning☆282Updated last year
- PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆488Updated 2 years ago
- extract features by maximizing mutual information☆149Updated 5 years ago
- Domain agnostic learning with disentangled representations☆147Updated 5 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆286Updated 3 years ago
- Approximating Wasserstein distances with PyTorch☆457Updated last year
- Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"☆141Updated 5 years ago
- Unsupervised Feature Learning via Non-parametric Instance Discrimination☆751Updated 3 years ago
- The demo code for the MLDG paper "Learning to Generalize: Meta-Learning for Domain Generalization", https://arxiv.org/abs/1710.03463, htt…☆140Updated 5 years ago
- SpotTune: Transfer Learning through Adaptive Fine-tuning☆90Updated 5 years ago
- Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning☆156Updated 5 years ago
- PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"☆580Updated 2 years ago
- A curated list of research papers related to learning disentangled representations☆463Updated 5 years ago
- Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).☆162Updated 4 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆266Updated 3 years ago
- This is a pytorch implementation of Deep-INFOMAX.☆35Updated 5 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆295Updated 4 years ago
- Learning What and Where to Transfer (ICML 2019)☆248Updated 4 years ago