wchliao / multi-task-machine-learning-papers
A list of multi-task machine learning papers.
☆37Updated 6 years ago
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- (ICCV 2019 Oral) Many Task Learning With Task Routing http://openaccess.thecvf.com/content_ICCV_2019/html/Strezoski_Many_Task_Learning_Wi…☆64Updated 5 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆70Updated 7 years ago
- Pytorch implementation of SNAS☆75Updated 6 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆174Updated 3 years ago
- ☆37Updated 2 years ago
- Implementation of soft parameter sharing for neural networks☆69Updated 4 years ago
- Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow☆53Updated 6 years ago
- Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning☆84Updated 5 years ago
- [CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning☆94Updated 2 years ago
- ☆65Updated 6 years ago
- Meta-Learning based Noise-Tolerant Training☆124Updated 4 years ago
- Code for TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning (CVPR 2019)☆56Updated 5 years ago
- Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)☆104Updated 5 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated last year
- Deep Metric Transfer for Label Propagation with Limited Annotated Data☆49Updated last year
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- Code for paper "Learning to Reweight Examples for Robust Deep Learning"☆269Updated 6 years ago
- PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning☆352Updated 5 years ago
- ☆58Updated last year
- Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019☆177Updated 5 years ago
- Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)☆88Updated 6 years ago
- Papers for normalization techniques, released codes collections.☆226Updated 4 years ago
- Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning☆120Updated 9 months ago
- [ICLR'19] Complement Objective Training☆76Updated 6 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
- Papers and Codes about Deep Metric Learning/Deep Embedding☆35Updated 5 years ago
- Random miniprojects with pytorch.☆171Updated 6 years ago
- ☆82Updated 6 years ago
- Interpreting CNN Knowledge via an Explanatory Graph☆69Updated 4 years ago
- ⚡️ [AAAI'20][ICML'19 AutoML] InstaNAS: Instance-aware Neural Architecture Search☆93Updated 4 years ago