helloyide / Cross-stitch-Networks-for-Multi-task-Learning
A Tensorflow implementation of the paper arXiv:1604.03539
☆127Updated 6 years ago
Alternatives and similar repositories for Cross-stitch-Networks-for-Multi-task-Learning:
Users that are interested in Cross-stitch-Networks-for-Multi-task-Learning are comparing it to the libraries listed below
- This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow☆136Updated 6 years ago
- ☆126Updated 6 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆71Updated 7 years ago
- Codes for "Learning Sparse Sharing Architectures for Multiple Tasks"☆90Updated 4 years ago
- PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning☆353Updated 5 years ago
- Implementaion of Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction☆121Updated 3 years ago
- Rethinking Knowledge Graph Propagation for Zero-Shot Learning, in CVPR 2019☆319Updated 5 years ago
- Pytorch implementation of Domain Separation Networks☆150Updated 5 years ago
- Learning What and Where to Transfer (ICML 2019)☆249Updated 4 years ago
- [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…☆67Updated 3 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆153Updated 4 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆90Updated 4 years ago
- Learning deep representations by mutual information estimation and maximization☆324Updated 6 years ago
- official PyTorch implementation of paper "Continual Meta-Learning with Bayesian Graph Neural Networks" (AAAI2020)☆61Updated 4 years ago
- ☆145Updated 3 years ago
- extract features by maximizing mutual information☆148Updated 5 years ago
- Multi-task learning for image classification implemented in PyTorch.☆97Updated 6 years ago
- clustering☆115Updated 5 years ago
- TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER☆118Updated 7 years ago
- ☆58Updated 7 years ago
- This is a collection of Papers and Codes for Noisy Labels Problem.☆61Updated 6 years ago
- Meta-Learning based Noise-Tolerant Training☆123Updated 4 years ago
- Tensorflow implementation of Capsule Graph Neural Network☆75Updated 3 years ago
- Implementation of paper: Making Deep Neural Network Robust to Label Noise: a Loss Correction Approach.☆23Updated last year
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆113Updated 4 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆99Updated 4 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆285Updated 3 years ago
- Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow☆52Updated 6 years ago
- MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, …☆86Updated 5 years ago