mit-gfx / ContinuousParetoMTL
[ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning
☆135Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for ContinuousParetoMTL
- Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning☆126Updated 4 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
- 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
- Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.☆147Updated 5 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆170Updated 2 years ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆55Updated 2 years ago
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆111Updated last year
- ☆150Updated 4 years ago
- [CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning☆92Updated last year
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆98Updated 3 years ago
- The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].☆129Updated last year
- ☆40Updated last year
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆111Updated 3 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆281Updated 2 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆193Updated 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
- Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]☆83Updated 3 months ago
- Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"☆61Updated last year
- PCGrad pytorch sample code [not official]☆30Updated 4 years ago
- Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]☆207Updated 5 months ago
- A list of multi-task machine learning papers.☆36Updated 6 years ago
- a respectively concise Implemention of Maml in Module way☆29Updated 5 years ago
- Library to manage machine learning problems as `Tasks' and to sample from Task distributions. Includes Tensorflow implementation of impli…☆48Updated 2 years ago
- A Tensorflow implementation of the paper arXiv:1604.03539☆126Updated 6 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆117Updated last year
- ☆70Updated last year
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆308Updated 3 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆114Updated 4 years ago
- Pytorch Implementation of Neural Architecture Optimization☆112Updated 3 years ago