google / mentornet
Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks
☆323Updated last year
Alternatives and similar repositories for mentornet:
Users that are interested in mentornet are comparing it to the libraries listed below
- Code for paper "Learning to Reweight Examples for Robust Deep Learning"☆269Updated 5 years ago
- PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning☆354Updated 5 years ago
- Unofficial PyTorch Implementation of Unsupervised Data Augmentation.☆146Updated 4 years ago
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆222Updated 4 years ago
- Virtual Adversarial Training (VAT) implementation for PyTorch☆296Updated 6 years ago
- This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.☆234Updated 3 years ago
- NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels☆498Updated 3 years ago
- Code for reproducing Manifold Mixup results (ICML 2019)☆487Updated 10 months ago
- Meta-Learning based Noise-Tolerant Training☆123Updated 4 years ago
- ☆130Updated 2 years ago
- ☆172Updated 6 months ago
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆178Updated 4 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆118Updated last year
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆173Updated 3 years ago
- Learning Confidence for Out-of-Distribution Detection in Neural Networks☆268Updated 6 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆284Updated 3 years ago
- Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆460Updated 5 years ago
- PyTorch Implementation for Deep Metric Learning Pipelines☆571Updated 4 years ago
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆607Updated 3 years ago
- Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning☆120Updated 6 months ago
- Pytorch implementation of Virtual Adversarial Training☆133Updated 5 years ago
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆401Updated 4 years ago
- This is a collection of Papers and Codes for Noisy Labels Problem.☆62Updated 7 years ago
- A curated list of resources about few-shot and one-shot learning☆282Updated 5 years ago
- TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER☆118Updated 7 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆126Updated 5 years ago
- PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.☆139Updated 5 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆185Updated 6 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆153Updated 4 years ago
- Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.☆457Updated 5 years ago