mit-gfx / ContinuousParetoMTL
[ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning
☆142Updated 3 years ago
Alternatives and similar repositories for ContinuousParetoMTL:
Users that are interested in ContinuousParetoMTL are comparing it to the libraries listed below
- Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning☆135Updated 5 years ago
- Code for "Gradient Surgery for Multi-Task Learning"☆315Updated 4 years ago
- Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.☆149Updated 5 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆173Updated 3 years ago
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆120Updated last year
- "Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.☆60Updated 5 years ago
- ☆154Updated 5 years ago
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆112Updated 4 years ago
- The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].☆133Updated 2 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆100Updated 4 years ago
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆173Updated 3 years ago
- PCGrad pytorch sample code [not official]☆31Updated 4 years ago
- Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]☆84Updated 8 months ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆63Updated 2 years ago
- [CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning☆94Updated 2 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆193Updated 6 years ago
- Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]☆219Updated 10 months ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆285Updated 3 years ago
- Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning☆120Updated 8 months ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 3 years 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
- A Tensorflow implementation of the paper arXiv:1604.03539☆128Updated 6 years ago
- ☆68Updated 6 months ago
- PyTorch implementation of the GradNorm☆86Updated 6 months ago
- PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning☆354Updated 5 years ago
- A list of multi-task learning papers and projects.☆370Updated 3 years ago
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆326Updated 3 years ago
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆101Updated 2 years ago
- Crawl & visualize ICLR papers and reviews.☆446Updated 2 years ago
- A list of multi-task machine learning papers.☆37Updated 6 years ago