mbs0221 / Multitask-LearningLinks
Awesome Multitask Learning Resources
☆665Updated 4 years ago
Alternatives and similar repositories for Multitask-Learning
Users that are interested in Multitask-Learning are comparing it to the libraries listed below
Sorting:
- A list of multi-task learning papers and projects.☆371Updated 3 years ago
- A multi-task learning example for the paper https://arxiv.org/abs/1705.07115☆859Updated 4 years ago
- some tircks for PyTorch☆577Updated 5 years ago
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆814Updated 3 years ago
- Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics☆554Updated 3 years ago
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆704Updated 3 years ago
- This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow☆136Updated 6 years ago
- A Tensorflow implementation of the paper arXiv:1604.03539☆130Updated 6 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
- 2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.☆750Updated 5 months ago
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆178Updated 3 years ago
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆752Updated 4 years ago
- Codes for "Learning Sparse Sharing Architectures for Multiple Tasks"☆95Updated 4 years ago
- ☆146Updated 3 years ago
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆1,035Updated 9 months ago
- Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning☆619Updated 4 years ago
- Collect awesome best papers from top AI conferences.☆467Updated 2 years ago
- The project including MMOE, SNR_trans, SNR_avg, PLE, etc implemented by pytorch.☆137Updated 4 years ago
- knowledge distillation papers☆755Updated 2 years ago
- Code for "Gradient Surgery for Multi-Task Learning"☆323Updated 5 years ago
- 2021-2022 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processi…☆858Updated 3 years ago
- FSL-Mate: A collection of resources for few-shot learning (FSL).☆1,746Updated 11 months ago
- The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks☆338Updated 6 years ago
- A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)☆712Updated 2 years ago
- list of efficient attention modules☆1,008Updated 3 years ago
- This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.☆233Updated 3 years ago
- A collection of research and application papers of (uncertainty) calibration techniques.☆328Updated last year
- Collection for Few-shot Learning☆981Updated 2 years ago
- A curated list of long-tailed recognition resources.☆584Updated last year
- Learning What and Where to Transfer (ICML 2019)☆248Updated 4 years ago