lorenmt / auto-lambda
The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].
☆132Updated last year
Alternatives and similar repositories for auto-lambda:
Users that are interested in auto-lambda are comparing it to the libraries listed below
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆112Updated 4 years ago
- Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]☆212Updated 8 months ago
- ☆74Updated last year
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆114Updated last year
- Paper List for Multi-Task Learning (focus on architectures and optimization for MTL)☆44Updated last year
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆312Updated 3 years ago
- Universal Representations: A Unified Look at Multiple Task and Domain Learning☆40Updated 11 months ago
- Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)☆78Updated 8 months ago
- Code for "Gradient Surgery for Multi-Task Learning"☆309Updated 4 years ago
- Knowledge Distillation for Multi-task Learning (ECCV20 Workshops)☆74Updated last year
- Code for Which Tasks Should Be Learned Together in Multi-task Learning?☆94Updated last year
- Official Pytorch's implementation of RotoGrad☆72Updated last year
- The official github repo for "Test-Time Training with Masked Autoencoders"☆80Updated last year
- An up-to-date list of works on Multi-Task Learning☆325Updated 2 months ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆173Updated 3 years ago
- This is the official GitHub for paper: On the Versatile Uses of Partial Distance Correlation in Deep Learning, in ECCV 2022☆173Updated last year
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆103Updated 3 years ago
- PyTorch implementation of the GradNorm☆81Updated 4 months ago
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆259Updated 2 years ago
- Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]☆84Updated 6 months ago
- Automated Search for Resource-Efficient Branched Multi-Task Networks [BMVC 2020]☆15Updated last year
- [ CVPR 2021 Oral ] Pytorch implementation for "Adversarial Robustness under Long-Tailed Distribution"☆100Updated 3 years ago
- Exploring Relational Context for Multi-Task Dense Prediction [ICCV 2021]☆48Updated last year
- ☆41Updated 2 years ago
- A list of multi-task learning papers and projects.☆369Updated 2 years ago
- [ICLR 2022] Official pytorch implementation of "Uncertainty Modeling for Out-of-Distribution Generalization" in International Conference …☆151Updated 2 years ago
- CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522☆248Updated last year
- PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP☆80Updated 4 years ago
- Learning Multiple Dense Prediction Tasks from Partially Annotated Data - CVPR 2022☆47Updated last year
- Improving Contrastive Learning by Visualizing Feature Transformation, ICCV 2021 Oral☆89Updated 3 years ago