mit-gfx / ContinuousParetoMTLLinks
[ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning
☆146Updated 3 years ago
Alternatives and similar repositories for ContinuousParetoMTL
Users that are interested in ContinuousParetoMTL are comparing it to the libraries listed below
Sorting:
- Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning☆138Updated 5 years ago
- Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.☆149Updated 6 years ago
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆127Updated last year
- "Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.☆60Updated 5 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 4 years ago
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆178Updated 3 years ago
- Code for "Gradient Surgery for Multi-Task Learning"☆327Updated 5 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆176Updated 3 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆193Updated 6 years ago
- ☆154Updated 5 years ago
- Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]☆84Updated 11 months ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆290Updated 3 years ago
- code for paper "Graph Structure of Neural Networks"☆155Updated 3 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].☆136Updated 2 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- A Tensorflow implementation of the paper arXiv:1604.03539☆131Updated 6 years ago
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆104Updated 3 years ago
- [CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning☆94Updated 2 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
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆79Updated 2 years ago
- ☆147Updated 3 years ago
- ☆40Updated 2 years ago
- This is a collection of Papers and Codes for Noisy Labels Problem.☆63Updated 7 years ago
- Code for paper "Learning to Reweight Examples for Robust Deep Learning"☆269Updated 6 years ago
- Code for Which Tasks Should Be Learned Together in Multi-task Learning?☆98Updated 2 years ago
- A list of multi-task machine learning papers.☆37Updated 6 years ago
- Implementation "Adapting Auxiliary Losses Using Gradient Similarity" article☆32Updated 6 years ago
- [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…☆69Updated 3 years ago
- PCGrad pytorch sample code [not official]☆32Updated 5 years ago