Xi-L / ParetoMTL
Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning
☆128Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for ParetoMTL
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆56Updated 2 years ago
- [ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning☆135Updated 3 years ago
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆112Updated last year
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆99Updated 2 years ago
- Code for "Gradient Surgery for Multi-Task Learning"☆304Updated 4 years ago
- "Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.☆60Updated 5 years ago
- ☆59Updated 2 months ago
- ☆150Updated 4 years ago
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆169Updated 3 years ago
- A Tensorflow implementation of the paper arXiv:1604.03539☆126Updated 6 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
- HSML for ICML 2019☆51Updated 5 years ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆67Updated 3 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆98Updated 3 years ago
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆986Updated 2 months ago
- PCGrad pytorch sample code [not official]☆30Updated 4 years ago
- This is a joint implementation of AdaShift optimizer, LGANs, and MaxGP.☆14Updated 4 years ago
- Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]☆207Updated 6 months ago
- Pytorch implementation of Deep Variational Information Bottleneck☆177Updated 6 years ago
- ☆40Updated last year
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆193Updated 5 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆281Updated 2 years ago
- Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"☆61Updated last year
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆57Updated 7 years ago
- This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.☆37Updated 3 years ago
- Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.☆148Updated 5 years ago
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆89Updated 5 years ago
- [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning☆13Updated 3 months ago
- ☆119Updated 5 months ago
- [ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)☆24Updated 2 years ago