isl-org / MultiObjectiveOptimizationLinks
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
☆1,049Updated last year
Alternatives and similar repositories for MultiObjectiveOptimization
Users that are interested in MultiObjectiveOptimization are comparing it to the libraries listed below
Sorting:
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆724Updated 3 years ago
- A multi-task learning example for the paper https://arxiv.org/abs/1705.07115☆868Updated 5 years ago
- Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics☆557Updated 3 years ago
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆831Updated 3 years ago
- A PyTorch Library for Multi-Task Learning☆2,426Updated 5 months ago
- A list of multi-task learning papers and projects.☆382Updated 3 years ago
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆271Updated 3 years ago
- 2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.☆792Updated 2 weeks ago
- Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning☆639Updated 5 years ago
- Awesome Multitask Learning Resources☆672Updated 4 years ago
- Code for "Gradient Surgery for Multi-Task Learning"☆333Updated 5 years ago
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆370Updated 4 years ago
- Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]☆232Updated 4 months ago
- Approximating Wasserstein distances with PyTorch☆460Updated 2 years ago
- [ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning☆148Updated 4 years ago
- Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning☆141Updated 5 years ago
- [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression☆891Updated 3 years ago
- PyTorch implementation of Contrastive Learning methods☆1,994Updated 2 years ago
- PyTorch implementation of the GradNorm☆109Updated last year
- ☆148Updated 3 years ago
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆181Updated 3 years ago
- [arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis☆1,330Updated 4 years ago
- Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)☆2,448Updated 6 years ago
- 关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记☆1,235Updated last year
- ReduNet☆541Updated 3 years ago
- Gaussian mixture models in PyTorch.☆583Updated 2 years ago
- Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"☆808Updated 6 years ago
- A Variational Autoencoder (VAE) implemented in PyTorch☆431Updated 3 years ago
- Crawl & visualize ICLR papers and reviews.☆448Updated 3 years ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,047Updated 2 years ago