Xi-L / ParetoMTL
Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning
☆135Updated 5 years ago
Alternatives and similar repositories for ParetoMTL:
Users that are interested in ParetoMTL are comparing it to the libraries listed below
- [ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning☆142Updated 3 years ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆63Updated 2 years ago
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆120Updated last year
- Code for "Gradient Surgery for Multi-Task Learning"☆315Updated 4 years ago
- PCGrad pytorch sample code [not official]☆31Updated 4 years ago
- ☆68Updated 6 months ago
- "Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.☆60Updated 5 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
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆101Updated 2 years ago
- ☆154Updated 5 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆193Updated 6 years ago
- A Tensorflow implementation of the paper arXiv:1604.03539☆128Updated 6 years 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
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆100Updated 4 years ago
- HSML for ICML 2019☆51Updated 5 years ago
- This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.☆38Updated 3 years ago
- PyTorch implementation of the GradNorm☆86Updated 6 months ago
- Codes for "Learning Sparse Sharing Architectures for Multiple Tasks"☆93Updated 4 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆285Updated 3 years ago
- ☆40Updated last year
- Implementation of an efficient variant of SVRG that relies on mini-batching implemented in Pytorch☆26Updated 6 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
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆73Updated 2 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
- Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]☆219Updated 10 months ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆216Updated 5 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆173Updated 3 years ago
- [CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning☆94Updated 2 years ago
- PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning☆354Updated 5 years ago
- Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"☆67Updated last year