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
Alternatives and similar repositories for GradNorm
Users that are interested in GradNorm are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 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
- 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
- A multi-task learning example for the paper https://arxiv.org/abs/1705.07115☆870Jul 6, 2020Updated 5 years ago
- Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics☆566Nov 1, 2021Updated 4 years ago
- TensorFlow implementation of GradNorm☆41Mar 24, 2023Updated 3 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.
- A list of multi-task machine learning papers.☆37Nov 4, 2018Updated 7 years ago
- ☆148Dec 13, 2021Updated 4 years ago
- [ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning☆149Aug 12, 2021Updated 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
- ☆19Mar 5, 2019Updated 7 years ago
- Awesome Multitask Learning Resources☆674Apr 13, 2021Updated 4 years ago
- Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]☆87Jul 25, 2024Updated last year
- Code for "Gradient Surgery for Multi-Task Learning"☆352Apr 28, 2020Updated 5 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
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- Attentive Single-tasking of Multiple Tasks☆84Oct 27, 2019Updated 6 years ago
- Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning☆17Feb 25, 2020Updated 6 years ago
- Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning☆143Jan 2, 2020Updated 6 years ago
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆398Jun 22, 2021Updated 4 years ago
- This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow☆136Sep 23, 2018Updated 7 years ago
- Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow☆54Sep 1, 2018Updated 7 years ago
- A list of multi-task learning papers and projects.☆385Jan 31, 2022Updated 4 years ago
- The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].☆139Feb 5, 2023Updated 3 years ago
- Implementation for our WACV 2021 paper "Multi-Loss Weighting with Coefficient of Variations"☆53Jan 11, 2021Updated 5 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.
- AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. AAAI, 2023.☆29Sep 29, 2023Updated 2 years ago
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆20Jun 27, 2021Updated 4 years ago
- Optimizing Physics-Informed NN using Multi-task Likelihood Loss Balance Algorithm and Adaptive Activation Function Algorithm☆33Jun 2, 2023Updated 2 years ago
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆840Jan 13, 2022Updated 4 years ago
- MTAdam: Automatic Balancing of Multiple Training Loss Terms☆37Nov 21, 2020Updated 5 years ago
- PyTorch implementation of JEM++: Improved Techniques for Training JEM☆13Mar 11, 2023Updated 3 years ago
- [ECCV2024] The official implementation of "Listen to Look into the Future: Audio-Visual Egocentric Gaze Anticipation".☆13Feb 24, 2025Updated last year
- Implementation of physics informed neural networks with PyTorch☆20Jan 5, 2021Updated 5 years ago
- Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable☆218Apr 4, 2021Updated 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.
- ☆22Nov 8, 2021Updated 4 years ago
- ☆62Jul 11, 2019Updated 6 years ago
- [NeurIPS 2020 Oral] Is normalization indispensable for training deep neural networks?☆34Jun 22, 2022Updated 3 years ago
- Multi-Task Learning Using Dynamic Weights of Tasks for Face Recognition withFacial Expression☆46May 8, 2020Updated 5 years ago
- An implementation of RaFM. Xiaoshuang Chen, Yin Zheng, Jiaxiang Wang, et al. "RaFM: Rank-Aware Factorization Machines"☆12May 11, 2019Updated 6 years ago
- [NeurIPS 2021] Self-Supervised GANs with Label Augmentation☆22Apr 27, 2023Updated 2 years ago
- An unofficial implementation of the ICASSP 2019 paper Adaptive Scenario Discovery for Crowd Counting by PyTorch.☆12Jun 9, 2019Updated 6 years ago