Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
☆1,070Sep 2, 2024Updated last year
Alternatives and similar repositories for MultiObjectiveOptimization
Users that are interested in MultiObjectiveOptimization are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning☆143Jan 2, 2020Updated 6 years 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
- [ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning☆149Aug 12, 2021Updated 4 years ago
- A PyTorch Library for Multi-Task Learning☆2,548May 14, 2025Updated last year
- A multi-task learning example for the paper https://arxiv.org/abs/1705.07115☆871Jul 6, 2020Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics☆567Nov 1, 2021Updated 4 years ago
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆841Jan 13, 2022Updated 4 years ago
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆399Jun 22, 2021Updated 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
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆729Feb 7, 2022Updated 4 years ago
- Code for "Gradient Surgery for Multi-Task Learning"☆360Apr 28, 2020Updated 6 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
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆68Jun 22, 2022Updated 3 years ago
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆182Nov 2, 2021Updated 4 years ago
- 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.
- Awesome Multitask Learning Resources☆671Apr 13, 2021Updated 5 years ago
- A list of multi-task learning papers and projects.☆386Jan 31, 2022Updated 4 years ago
- ☆71Sep 5, 2024Updated last year
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆106Apr 19, 2022Updated 4 years ago
- ☆148Dec 13, 2021Updated 4 years ago
- [CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning☆94Dec 8, 2022Updated 3 years ago
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆151Nov 9, 2023Updated 2 years ago
- Multi-objective Bayesian optimization☆95Apr 14, 2023Updated 3 years ago
- The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].☆141Feb 5, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A curated list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.☆833Mar 3, 2026Updated 2 months ago
- Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]☆243Jun 25, 2025Updated 10 months ago
- This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.☆39May 25, 2021Updated 4 years ago
- Attentive Single-tasking of Multiple Tasks☆84Oct 27, 2019Updated 6 years ago
- This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow☆136Sep 23, 2018Updated 7 years ago
- Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning, AAAI-SA'19☆30Sep 23, 2019Updated 6 years ago
- Code for Which Tasks Should Be Learned Together in Multi-task Learning?☆102Mar 10, 2023Updated 3 years ago
- Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials…☆14,332Feb 18, 2025Updated last year
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆57Jul 4, 2017Updated 8 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning☆17Jul 31, 2024Updated last year
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆114Jan 14, 2021Updated 5 years ago
- Code release for paper "A Modulation Module for Multi-task Learning with Applications in Image Retrieval"☆32Dec 8, 2018Updated 7 years ago
- A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)☆734Mar 25, 2023Updated 3 years ago
- (ICCV 2019 Oral) Many Task Learning With Task Routing http://openaccess.thecvf.com/content_ICCV_2019/html/Strezoski_Many_Task_Learning_Wi…☆64Dec 3, 2019Updated 6 years ago
- Demo implementation for "A Pareto-Efficient Algorithm for Multiple Objective Optimization in E-Commerce Recommendation".☆54Jun 3, 2020Updated 5 years ago
- Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset☆5,073Jan 15, 2024Updated 2 years ago