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
Alternatives and similar repositories for AutomaticWeightedLoss
Users that are interested in AutomaticWeightedLoss are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics☆566Nov 1, 2021Updated 4 years ago
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆272Aug 9, 2022Updated 3 years ago
- MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, …☆91Nov 8, 2019Updated 6 years ago
- A multi-task learning example for the paper https://arxiv.org/abs/1705.07115☆870Jul 6, 2020Updated 5 years ago
- A PyTorch Library for Multi-Task Learning☆2,531May 14, 2025Updated 10 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆840Jan 13, 2022Updated 4 years ago
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆728Feb 7, 2022Updated 4 years ago
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆1,069Sep 2, 2024Updated last year
- The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].☆139Feb 5, 2023Updated 3 years ago
- Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]☆87Jul 25, 2024Updated last year
- A lightweight module for Multi-Task Learning in pytorch.☆168Aug 7, 2023Updated 2 years ago
- Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]☆239Jun 25, 2025Updated 9 months ago
- A list of multi-task learning papers and projects.☆385Jan 31, 2022Updated 4 years ago
- PyTorch implementation of the GradNorm☆120Sep 4, 2024Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A curated list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.☆823Mar 3, 2026Updated 3 weeks ago
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆183Nov 2, 2021Updated 4 years ago
- Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)☆121May 9, 2024Updated last year
- 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
- Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning☆17Feb 25, 2020Updated 6 years ago
- ☆11May 29, 2020Updated 5 years ago
- a much more complex case using GradNorm, where the layer sharing situation is sophisticated.☆15Feb 21, 2019Updated 7 years ago
- This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow☆136Sep 23, 2018Updated 7 years ago
- Code for "Gradient Surgery for Multi-Task Learning"☆352Apr 28, 2020Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Awesome Multitask Learning Resources☆674Apr 13, 2021Updated 4 years ago
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆398Jun 22, 2021Updated 4 years ago
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆146Nov 9, 2023Updated 2 years ago
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,261Oct 17, 2024Updated last year
- [ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning☆149Aug 12, 2021Updated 4 years ago
- PyTorch Implementation of "NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction"☆14Jun 29, 2019Updated 6 years ago
- AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. AAAI, 2023.☆29Sep 29, 2023Updated 2 years ago
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆114Jan 14, 2021Updated 5 years ago
- Code for training and inference for multitask graph convolutional networks☆25Sep 3, 2020Updated 5 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.
- A Tensorflow implementation of the paper arXiv:1604.03539☆134Jul 25, 2018Updated 7 years ago
- All about DeepLearning: 推荐系统、自然语言处理、Tensorflow、Pytorch等☆488May 7, 2025Updated 10 months ago
- Complementary Relation Contrastive Distillation☆17Jun 29, 2021Updated 4 years ago
- 🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.…☆12,170Mar 16, 2026Updated last week
- Course project of SJTU CS3319: Foundations of Data Science, 2023 spring☆12Jun 22, 2023Updated 2 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆175Dec 19, 2021Updated 4 years ago
- ☆70Nov 15, 2022Updated 3 years ago