Code for Which Tasks Should Be Learned Together in Multi-task Learning?
☆102Mar 10, 2023Updated 3 years ago
Alternatives and similar repositories for taskgrouping
Users that are interested in taskgrouping are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆114Jan 14, 2021Updated 5 years ago
- Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations part of Advances in Neural Information Processing Syst…☆12Mar 8, 2023Updated 3 years ago
- Weighted Training for Cross-Task Learning☆15Feb 12, 2023Updated 3 years ago
- Attentive Single-tasking of Multiple Tasks☆84Oct 27, 2019Updated 6 years ago
- A list of multi-task learning papers and projects.☆385Jan 31, 2022Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]☆86Jul 25, 2024Updated last year
- [CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning☆94Dec 8, 2022Updated 3 years ago
- Code release of paper "ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning" (NeurIPS 2023)☆17Dec 30, 2023Updated 2 years ago
- ☆17Jan 10, 2024Updated 2 years ago
- Measuring generalization properties of graph neural networks☆15Aug 11, 2025Updated 8 months ago
- Codes for "Learning Sparse Sharing Architectures for Multiple Tasks"☆95Sep 21, 2020Updated 5 years ago
- ☆11Mar 6, 2022Updated 4 years ago
- Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks☆13Jun 16, 2020Updated 5 years ago
- Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)☆13Jan 21, 2020Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Implementation of [MNTDP](https://arxiv.org/abs/2012.12631)☆18Mar 9, 2022Updated 4 years ago
- ☆13Oct 14, 2020Updated 5 years ago
- An uncertainty-based random sampling algorithm for data augmentation☆29Sep 7, 2020Updated 5 years ago
- ☆69Sep 21, 2020Updated 5 years ago
- Taskonomy: Disentangling Task Transfer Learning [Best Paper, CVPR2018]☆879Dec 8, 2022Updated 3 years ago
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆729Feb 7, 2022Updated 4 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Aug 19, 2022Updated 3 years ago
- ☆17Nov 4, 2022Updated 3 years ago
- Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019)☆126Jul 13, 2023Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…☆15Dec 30, 2021Updated 4 years ago
- Importance of Self-Consistency in Active Learning for Semantic Segmentation (BMVC 2020)☆17Oct 11, 2021Updated 4 years ago
- a much more complex case using GradNorm, where the layer sharing situation is sophisticated.☆16Feb 21, 2019Updated 7 years ago
- Dual-way gradient sparsification approach for async DNN training, based on PyTorch.☆11Dec 8, 2022Updated 3 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆32Jun 16, 2022Updated 3 years ago
- Official TensorFlow implementation of "RECALL: Replay-based Continual Learning in Semantic Segmentation", ICCV 2021☆19Oct 7, 2021Updated 4 years ago
- Robust Learning Through Cross-Task Consistency [Best Paper Award Nominee, CVPR2020]☆183Feb 10, 2023Updated 3 years ago
- Source code for a comprehensive analysis of MTL over EHR timeseries data.☆37Apr 11, 2023Updated 3 years ago
- A curated list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.☆830Mar 3, 2026Updated 2 months ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning☆143Jan 2, 2020Updated 6 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆175Dec 19, 2021Updated 4 years ago
- cppad+Ipopt demo以及OSQP demo程序☆13Nov 23, 2022Updated 3 years ago
- "Representation Learning of Genomic Sequence Motifs with Convolutional Neural Networks" by Peter K. Koo and Sean R. Eddy☆34Jan 7, 2020Updated 6 years ago
- Official repository of the paper: Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics☆15Mar 22, 2024Updated 2 years ago
- Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)☆22Mar 14, 2023Updated 3 years ago
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆1,070Sep 2, 2024Updated last year