takashiishida / pconf
[NeurIPS 2018] Code for the paper "Binary Classification from Positive-Confidence Data"
☆51Updated 8 months ago
Related projects: ⓘ
- Learning From Noisy Singly-labeled Data☆19Updated 6 years ago
- Reproducing code for the paper "Learning Discrete Representations via Information Maximizing Self-Augmented Training"☆79Updated 4 years ago
- Code for the paper: On Symmetric Losses for Learning from Corrupted Labels☆18Updated 5 years ago
- Unofficial pytorch implementation of a paper, Distributional Smoothing with Virtual Adversarial Training [Miyato+, ICLR2016].☆26Updated 6 years ago
- This repo provides code used in the paper "Predicting with High Correlation Features" (https://arxiv.org/abs/1910.00164):☆55Updated 4 years ago
- Python codes for weakly-supervised learning☆121Updated 4 years ago
- Gold Loss Correction☆86Updated 5 years ago
- Chainer implementation of deep-INFOMAX☆34Updated 6 years ago
- Demonising Adversarial Auto-encoder in PyTorch☆24Updated 5 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆43Updated 5 years ago
- Implementation of the paper Identifying Mislabeled Data using the Area Under the Margin Ranking: https://arxiv.org/pdf/2001.10528v2.pdf☆21Updated 4 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Updated 4 years ago
- ☆27Updated 6 years ago
- This repository contains the code for the paper "Few-Shot Learning Through an Information Retrieval Lens". Eleni Triantafillou, Richard Z…☆25Updated 6 years ago
- This is a pytorch implementation of Deep-INFOMAX.☆35Updated 4 years ago
- Robust loss functions for deep neural networks (CVPR 2017)☆88Updated 4 years ago
- Implementation of Virtual adversarial training with chainer☆40Updated 6 years ago
- Code repository for the robust active label correction paper.☆10Updated 6 years ago
- Unofficial Implement of Asymmetric Tri-training for Unsupervised Domain Adaptation☆40Updated 7 years ago
- ☆20Updated this week
- Joint Optimization Framework for Learning with Noisy Labels☆45Updated 6 years ago
- Code for the paper "On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data".☆26Updated 5 years ago
- Repository for our paper "Zero-Shot Learning Through Cross-Modal Transfer" from NIPS 2013.☆50Updated 10 years ago
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 4 years ago
- ☆13Updated 5 years ago
- code for paper Decoupling "when to update" from "how to update" [https://arxiv.org/abs/1706.02613]☆21Updated 6 years ago
- ☆25Updated 5 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆42Updated 7 years ago
- ☆32Updated 5 years ago
- Implemenation of Asymmetric-TriTraining by Tensorflow☆24Updated 6 years ago