Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]
☆86Jul 25, 2024Updated last year
Alternatives and similar repositories for AuxiLearn
Users that are interested in AuxiLearn 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 model for named-entity recognition, relation extraction, entity mention detection and coreference resolution.☆46Jun 26, 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
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆105Apr 19, 2022Updated 3 years ago
- Knowledge Distillation for Multi-task Learning (ECCV20 Workshops)☆78Apr 7, 2023Updated 3 years ago
- Implementation "Adapting Auxiliary Losses Using Gradient Similarity" article☆33Mar 1, 2019Updated 7 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Self-Supervised Learning for Domain Adaptation on Point-Clouds☆89Dec 27, 2022Updated 3 years ago
- The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].☆139Feb 5, 2023Updated 3 years ago
- Code for our paper: *Shamsian, *Kleinfeld, Globerson & Chechik, "Learning Object Permanence from Video"☆68Nov 20, 2024Updated last year
- GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning☆34May 12, 2022Updated 3 years ago
- Official implementation of Auxiliary learning as an Bargaining Game.☆32Jan 19, 2024Updated 2 years ago
- Early sepsis detection w/ multitask gaussian process neural network☆15Sep 20, 2019Updated 6 years ago
- Code for Which Tasks Should Be Learned Together in Multi-task Learning?☆102Mar 10, 2023Updated 3 years ago
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆148Nov 9, 2023Updated 2 years ago
- Variance Covariance Regularization☆14Jun 22, 2023Updated 2 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.
- Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]☆239Jun 25, 2025Updated 9 months ago
- Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]☆197Feb 14, 2023Updated 3 years ago
- Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"☆32Jan 2, 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
- Official repository of "Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models" [ICML 2023]☆23Jan 10, 2025Updated last year
- A PyTorch implementation of our proposed loss function from the paper "SimLoss: Class Similarities in Cross Entropy"☆25Jun 18, 2021Updated 4 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
- Official Pytorch's implementation of RotoGrad☆80Aug 1, 2023Updated 2 years ago
- Repository for the paper "Metadata Normalization"☆23May 1, 2025Updated 11 months 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.
- 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
- Exact Hamiltonian Monte Carlo Sampler for Truncated Multivariate Gaussians☆12Feb 11, 2020Updated 6 years ago
- a much more complex case using GradNorm, where the layer sharing situation is sophisticated.☆16Feb 21, 2019Updated 7 years ago
- Code that accompanies the paper Guided Deep Kernel Learning☆10Jul 2, 2023Updated 2 years ago
- Tutorial for Clustering mixed data types☆10Jan 25, 2021Updated 5 years ago
- ☆12Aug 17, 2020Updated 5 years ago
- Implementation of "Unsupervised Visual Representation Learning by Context Prediction" by C. Doersh, A. Gupta and A. A. Efros☆24Nov 18, 2021Updated 4 years ago
- Implementation for our WACV 2021 paper "Multi-Loss Weighting with Coefficient of Variations"☆53Jan 11, 2021Updated 5 years ago
- 本项目采用BERT等预训练模型实现多项选择型阅读理解任务（Multiple Choice MRC）☆16Jun 20, 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.
- ☆29May 6, 2020Updated 5 years ago
- Online Hyperparameter Optimization☆11Feb 17, 2021Updated 5 years ago
- ☆17Dec 8, 2024Updated last year
- Code for NeurIPS 2020 Paper --- Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks☆21Oct 24, 2022Updated 3 years ago
- Code for the paper: On Symmetric Losses for Learning from Corrupted Labels☆19May 11, 2019Updated 6 years ago
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆90Aug 21, 2023Updated 2 years ago
- Code for "Gradient Surgery for Multi-Task Learning"☆356Apr 28, 2020Updated 5 years ago