11-626 / Deep-INFOMAXLinks
This is a pytorch implementation of Deep-INFOMAX.
☆35Updated 5 years ago
Alternatives and similar repositories for Deep-INFOMAX
Users that are interested in Deep-INFOMAX are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of Virtual Adversarial Training☆134Updated 6 years ago
- ☆30Updated 7 years ago
- Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)☆149Updated 2 years ago
- Gold Loss Correction☆87Updated 6 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆176Updated 7 years ago
- Tensorflow implementation of "Representation Learning with Contrastive Predictive Coding"☆64Updated 6 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆186Updated 6 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 5 years ago
- Meta-Learning based Noise-Tolerant Training☆126Updated 5 years ago
- Code for Unsupervised Learning via Meta-Learning.☆67Updated 4 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆71Updated 7 years ago
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 5 years ago
- Virtual Adversarial Training (VAT) implementation for PyTorch☆295Updated 6 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆205Updated 6 years ago
- Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)☆81Updated 6 years ago
- A machine learning library for PyTorch☆93Updated 3 years ago
- TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER☆118Updated 8 years ago
- NeurIPS'18: Masking: A New Perspective of Noisy Supervision☆54Updated 6 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- An adversarial autoencoder implementation in pytorch☆84Updated 6 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery☆156Updated 6 years ago
- Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper☆93Updated 7 years ago
- Unofficial pytorch implementation of a paper, Distributional Smoothing with Virtual Adversarial Training [Miyato+, ICLR2016].☆26Updated 7 years ago
- Learning deep representations by mutual information estimation and maximization☆325Updated 6 years ago
- Chainer implementation of deep-INFOMAX☆34Updated 6 years ago
- Learning to Self-Train for Semi-Supervised Few-Shot☆94Updated 2 years ago
- Pytorch implementation of DANN☆20Updated 6 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago