takashiishida / pconfLinks
[NeurIPS 2018] Code for the paper "Binary Classification from Positive-Confidence Data"
☆51Updated 2 weeks ago
Alternatives and similar repositories for pconf
Users that are interested in pconf are comparing it to the libraries listed below
Sorting:
- Unofficial pytorch implementation of a paper, Distributional Smoothing with Virtual Adversarial Training [Miyato+, ICLR2016].☆26Updated 7 years ago
- Python codes for weakly-supervised learning☆124Updated 5 years ago
- This repository contains the code for the paper "Few-Shot Learning Through an Information Retrieval Lens". Eleni Triantafillou, Richard Z …☆25Updated 7 years ago
- Learning From Noisy Singly-labeled Data☆18Updated 7 years ago
- Code for the paper "On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data".☆28Updated 6 years ago
- Gold Loss Correction☆87Updated 6 years ago
- Code for the paper: On Symmetric Losses for Learning from Corrupted Labels☆19Updated 6 years ago
- Robust loss functions for deep neural networks (CVPR 2017)☆91Updated 5 years ago
- Reproducing code for the paper "Learning Discrete Representations via Information Maximizing Self-Augmented Training"☆80Updated 5 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 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 5 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago
- Hyperspherical Prototype Networks☆67Updated 5 years ago
- ☆32Updated 6 years ago
- ☆34Updated 6 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- code for paper Decoupling "when to update" from "how to update" [https://arxiv.org/abs/1706.02613]☆21Updated 7 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Updated 2 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆57Updated 7 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- Implementation for "Classification from Pairwise Similarity and Unlabeled Data"☆27Updated 5 years ago
- Label de-noising for deep learning☆58Updated 5 years ago
- pytorch implementation of SOSELETO☆15Updated 5 years ago
- Python codes for influential instance estimation☆56Updated 2 years ago
- Another Domain Adaptation library, aimed at researchers.☆101Updated 5 months ago
- A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation☆50Updated 8 years ago
- Implemenation of Asymmetric-TriTraining by Tensorflow☆25Updated 7 years ago
- Chainer implementation of deep-INFOMAX☆34Updated 7 years ago
- TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER☆118Updated 8 years ago