SimonVandenhende / Multi-Task-Learning-PyTorchLinks
PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
☆825Updated 3 years ago
Alternatives and similar repositories for Multi-Task-Learning-PyTorch
Users that are interested in Multi-Task-Learning-PyTorch are comparing it to the libraries listed below
Sorting:
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆714Updated 3 years ago
- A list of multi-task learning papers and projects.☆381Updated 3 years ago
- Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning☆633Updated 5 years ago
- Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics☆555Updated 3 years ago
- 2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.☆776Updated 2 months ago
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆975Updated 3 years ago
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆269Updated 2 years ago
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆1,044Updated 11 months ago
- A multi-task learning example for the paper https://arxiv.org/abs/1705.07115☆862Updated 5 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆800Updated last year
- ☆147Updated 3 years ago
- PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch☆451Updated 2 years ago
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆756Updated 4 years ago
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,245Updated 9 months ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆684Updated 3 years ago
- A PyTorch Library for Multi-Task Learning☆2,379Updated 2 months ago
- mixup: Beyond Empirical Risk Minimization☆1,185Updated 3 years ago
- A PyTorch-based library for semi-supervised learning (NeurIPS'21)☆1,360Updated last year
- A curated list of long-tailed recognition resources.☆586Updated 2 years ago
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆991Updated 9 months ago
- The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition☆668Updated 2 years ago
- Pytorch implementation of various Knowledge Distillation (KD) methods.☆1,710Updated 3 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆790Updated 2 years ago
- 😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.☆1,846Updated last year
- A PyTorch Implementation of Focal Loss.☆985Updated 5 years ago
- PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566☆1,205Updated 2 years ago
- Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"☆653Updated last year
- PyTorch implementation of Contrastive Learning methods☆1,988Updated last year
- [NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation …☆570Updated 11 months ago
- A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'☆830Updated 3 years ago