mit-gfx / ContinuousParetoMTLLinks
[ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning
☆149Updated 4 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☆143Updated 6 years ago
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆181Updated 4 years ago
- Code for "Gradient Surgery for Multi-Task Learning"☆345Updated 5 years ago
- Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.☆150Updated 6 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆175Updated 4 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 5 years ago
- "Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.☆61Updated 6 years ago
- ☆157Updated 6 years ago
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆114Updated 5 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆120Updated 2 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆191Updated 6 years ago
- Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]☆87Updated last year
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆292Updated 4 years ago
- Learning To Stop While Learning To Predict☆34Updated 3 years ago
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆144Updated 2 years ago
- [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…☆69Updated 4 years ago
- SpotTune: Transfer Learning through Adaptive Fine-tuning☆91Updated 6 years ago
- ☆81Updated 4 years ago
- Code for Which Tasks Should Be Learned Together in Multi-task Learning?☆101Updated 2 years ago
- Code implementing the experiments described in the paper "On The Power of Curriculum Learning in Training Deep Networks" by Hacohen & Wei…☆119Updated 6 years ago
- 人工智能和机器学习领域的国际顶级会议NeurIPS论文收集☆103Updated 6 years ago
- ☆39Updated 2 years ago
- PCGrad pytorch sample code [not official]☆31Updated 5 years ago
- code for paper "Graph Structure of Neural Networks"☆156Updated 4 years ago
- Exploring Simple Siamese Representation Learning☆60Updated 5 years ago
- Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"☆67Updated 2 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆130Updated 6 years ago
- Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)☆202Updated 3 years ago
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆105Updated 3 years ago
- [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"☆95Updated 3 years ago