wchliao / multi-task-machine-learning-papersLinks
A list of multi-task machine learning papers.
☆37Updated 6 years ago
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- Code for paper "Learning to Reweight Examples for Robust Deep Learning"☆269Updated 6 years ago
- Pytorch implementation of SNAS☆75Updated 6 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆176Updated 3 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 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☆101Updated 5 years ago
- PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning☆353Updated 6 years ago
- Learning What and Where to Transfer (ICML 2019)☆248Updated 4 years ago
- Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning☆84Updated 5 years ago
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆223Updated 4 years ago
- Teaches a student network from the knowledge obtained via training of a larger teacher network☆158Updated 7 years ago
- TensorFlow Implementation of Deep Mutual Learning☆323Updated 7 years ago
- Meta-Learning based Noise-Tolerant Training☆126Updated 4 years ago
- Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆243Updated 6 years ago
- Implementation of Hardness-Aware Deep Metric Learning (CVPR 2019 Oral) in Tensorflow.☆151Updated 5 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆71Updated 7 years ago
- Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks☆323Updated 2 years ago
- A PyTorch Implementation of Matrix Capsules with EM Routing☆91Updated 5 years ago
- SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas☆163Updated 4 years ago
- ☆37Updated 3 years ago
- [ICLR'19] Complement Objective Training☆76Updated 6 years ago
- [CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning☆94Updated 2 years ago
- Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)☆88Updated 7 years ago
- Pytorch Implementation of Neural Architecture Optimization☆113Updated 4 years ago
- Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem [CVPR 2019, oral]☆184Updated 6 years ago
- extract features by maximizing mutual information☆148Updated 5 years ago
- Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation☆110Updated 7 years ago
- Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019☆177Updated 5 years ago
- Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning☆250Updated 7 years ago
- Interpreting CNN Knowledge via an Explanatory Graph☆70Updated 4 years ago
- Knowledge distillation methods implemented with Tensorflow (now there are 11 (+1) methods, and will be added more.)☆265Updated 5 years ago