t-sakai-kure / pywsl
Python codes for weakly-supervised learning
☆122Updated 4 years ago
Alternatives and similar repositories for pywsl:
Users that are interested in pywsl are comparing it to the libraries listed below
- Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10☆298Updated 2 years ago
- Reproducing code for the paper "Learning Discrete Representations via Information Maximizing Self-Augmented Training"☆80Updated 5 years ago
- Deep Learning with Positive and Unlabeled samples☆54Updated 7 years ago
- Code for Positive-Unlabeled learning.☆36Updated 2 years ago
- This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017☆87Updated 2 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 7 years ago
- PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.☆19Updated last year
- Code for Supervised Word Mover's Distance (SWMD)☆92Updated 7 years ago
- ☆125Updated 3 years ago
- [NeurIPS 2018] Code for the paper "Binary Classification from Positive-Confidence Data"☆50Updated last year
- Variational Auto-encoder with Non-parametric Bayesian Prior☆42Updated 7 years ago
- Gold Loss Correction☆86Updated 6 years ago
- Convex Formulation of Multiple Instance Learning from Positive and Unlabeled Bags☆10Updated 6 years ago
- Learning From Noisy Singly-labeled Data☆19Updated 7 years ago
- Implementations of label propagation like algorithms☆82Updated 8 years ago
- ☆19Updated 5 years ago
- Python implementation of "Sparse Local Embeddings for Extreme Multi-label Classification, NIPS, 2015"☆29Updated 7 years ago
- Code for Sluice networks: Learning what to share between loosely related tasks☆151Updated 6 years ago
- Modified Logisic Regression for the Positive and Unlabeled Learning Problem☆12Updated 11 years ago
- Reliability diagrams, Platt's scaling, isotonic regression☆76Updated 10 years ago
- Semi supervised learning on graphs☆35Updated 7 years ago
- FastXML / PFastXML / PFastreXML - Implementation of Extreme Multi-label Classification☆147Updated 8 months ago
- Implementation for "Classification from Pairwise Similarity and Unlabeled Data"☆27Updated 4 years ago
- This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper☆212Updated 3 years ago
- Deep Embedding Clustering in Keras☆130Updated 7 years ago
- Code for "Strong Baselines for Neural Semi-supervised Learning under Domain Shift" (Ruder & Plank, 2018 ACL)☆61Updated 2 years ago
- Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"☆110Updated 7 years ago
- Python implementation of Robust Continuous Clustering☆104Updated 5 years ago
- Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning☆87Updated 6 months ago
- This is a collection of Papers and Codes for Noisy Labels Problem.☆62Updated 7 years ago