Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
☆567Nov 1, 2021Updated 4 years ago
Alternatives and similar repositories for mtl
Users that are interested in 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:
- 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
- A multi-task learning example for the paper https://arxiv.org/abs/1705.07115☆871Jul 6, 2020Updated 5 years ago
- ☆148Dec 13, 2021Updated 4 years ago
- Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow☆54Sep 1, 2018Updated 7 years ago
- ☆18Apr 15, 2019Updated 7 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.
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆730Feb 7, 2022Updated 4 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
- MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, …☆92Nov 8, 2019Updated 6 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
- A Tensorflow implementation of the paper arXiv:1604.03539☆134Jul 25, 2018Updated 7 years ago
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆841Jan 13, 2022Updated 4 years ago
- ☆12Mar 18, 2019Updated 7 years ago
- 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
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- 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
- Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning☆143Jan 2, 2020Updated 6 years ago
- [CVPR2019] NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction☆56Jan 7, 2020Updated 6 years ago
- A PyTorch Library for Multi-Task Learning☆2,552May 14, 2025Updated last year
- Asymmetric Multi-Task Learning code, If you want to use it, please let me know and cite AMTL paper☆11Aug 3, 2016Updated 9 years ago
- [ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning☆149Aug 12, 2021Updated 4 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
- Code for "Gradient Surgery for Multi-Task Learning"☆359Apr 28, 2020Updated 6 years ago
- Multi-Task Learning Using Dynamic Weights of Tasks for Face Recognition withFacial Expression☆46May 8, 2020Updated 6 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).☆209Dec 19, 2019Updated 6 years ago
- Awesome Multitask Learning Resources☆671Apr 13, 2021Updated 5 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
- Code for Sluice networks: Learning what to share between loosely related tasks☆155Jan 28, 2019Updated 7 years ago
- ☆11May 29, 2020Updated 5 years ago
- Deep Feedback Network for Recommendation☆97Sep 18, 2020Updated 5 years ago
- [CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning☆94Dec 8, 2022Updated 3 years ago
- ☆24Jun 5, 2021Updated 4 years ago
- The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].☆141Feb 5, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning, AAAI-SA'19☆30Sep 23, 2019Updated 6 years ago
- Code release for paper "A Modulation Module for Multi-task Learning with Applications in Image Retrieval"☆32Dec 8, 2018Updated 7 years ago
- instance segmentation with deep metric learning and context☆33Jun 29, 2018Updated 7 years ago
- Attentive Single-tasking of Multiple Tasks☆84Oct 27, 2019Updated 6 years ago
- ☆45Jan 16, 2020Updated 6 years ago
- A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"☆97Jun 1, 2020Updated 5 years ago
- MetaBalance algorithm for multi-task learning☆64Feb 9, 2022Updated 4 years ago