Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]
☆245Jun 25, 2025Updated 11 months ago
Alternatives and similar repositories for nash-mtl
Users that are interested in nash-mtl are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆152Nov 9, 2023Updated 2 years ago
- PyTorch implementation of "Towards Impartial Multi-Task Learning"☆13Apr 12, 2024Updated 2 years ago
- Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)☆129May 9, 2024Updated 2 years ago
- The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].☆141Feb 5, 2023Updated 3 years ago
- A PyTorch Library for Multi-Task Learning☆2,552May 14, 2025Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆400Jun 22, 2021Updated 4 years ago
- A curated list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.☆833Mar 3, 2026Updated 2 months ago
- Official Pytorch's implementation of RotoGrad☆82Aug 1, 2023Updated 2 years ago
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆106Apr 19, 2022Updated 4 years ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆68Jun 22, 2022Updated 3 years ago
- Multi-task model for named-entity recognition, relation extraction, entity mention detection and coreference resolution.☆46Jun 26, 2024Updated last year
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆841Jan 13, 2022Updated 4 years ago
- In Defense of the Unitary Scalarization for Deep Multi-Task Learning☆22Mar 8, 2023Updated 3 years ago
- [ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning☆149Aug 12, 2021Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A list of multi-task learning papers and projects.☆386Jan 31, 2022Updated 4 years ago
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆273Aug 9, 2022Updated 3 years ago
- Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning☆648Jun 20, 2020Updated 5 years ago
- [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning☆17Jul 31, 2024Updated last year
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆1,070Sep 2, 2024Updated last year
- ☆12Apr 18, 2023Updated 3 years ago
- Code for Personalized Federated Learning with Gaussian Processes☆37Mar 3, 2022Updated 4 years ago
- PyTorch Implementation of the Multi-gate Mixture-of-Experts with Exclusivity (MMoEEx)☆34Jul 6, 2021Updated 4 years ago
- Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"☆32Jan 2, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning☆34May 12, 2022Updated 4 years ago
- Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning, AAAI-SA'19☆30Sep 23, 2019Updated 6 years ago
- ☆18Dec 6, 2021Updated 4 years ago
- Official implementation of Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information☆12Sep 28, 2023Updated 2 years ago
- This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertisin…☆58Feb 22, 2022Updated 4 years ago
- Official repository of "Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models" [ICML 2023]☆24Jan 10, 2025Updated last year
- Implementation of "Dual Mixup Regularized Learning for Adversarial Domain Adaptation" in Pytorch☆12Apr 8, 2021Updated 5 years ago
- ☆11Nov 30, 2025Updated 5 months ago
- Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.☆150Jun 3, 2019Updated 6 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Universal Representations: A Unified Look at Multiple Task and Domain Learning☆44Feb 23, 2024Updated 2 years ago
- ☆13Nov 24, 2025Updated 6 months ago
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆114Jan 14, 2021Updated 5 years ago
- Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning☆17Feb 25, 2020Updated 6 years ago
- ☆11Nov 13, 2022Updated 3 years ago
- A multi-task learning example for the paper https://arxiv.org/abs/1705.07115☆871Jul 6, 2020Updated 5 years ago
- [WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"☆27Apr 6, 2021Updated 5 years ago