chcorbi / MultiTaskLearning
Package to apply MTL on a few dataset
☆26Updated 8 years ago
Alternatives and similar repositories for MultiTaskLearning
Users that are interested in MultiTaskLearning are comparing it to the libraries listed below
Sorting:
- Online multiclass boosting algorithm that uses VFDT as weak learners☆16Updated 6 years ago
- Multilinear Factorization Machines for multi-task multi-view learning☆18Updated 8 years ago
- Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)☆13Updated 5 years ago
- Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation☆12Updated 8 years ago
- The implementation of Meta-LSTM in "Meta Multi-Task Learning for Sequence Modeling." AAAI-18☆33Updated 7 years ago
- 迁移学习☆18Updated 6 years ago
- ☆25Updated 6 years ago
- Implementation and usage of marginalized stacked denoising autoencoders (mSDA)☆23Updated 8 years ago
- Semi supervised learning on graphs☆35Updated 7 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 7 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆41Updated 6 years ago
- PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…☆44Updated 11 years ago
- Semi-Supervised Learning Method for Deep Neural Networks☆28Updated 7 years ago
- My implementation of "Hierarchical Attention Networks for Document Classification" in Keras☆26Updated 7 years ago
- Code for paper "On Sampling Strategies for Neural Network-based Collaborative Filtering"☆39Updated 7 years ago
- (Theano) Implementations about deep neural network, recurrent neural network, LSTM, and structured learining.☆10Updated 8 years ago
- Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)☆52Updated 5 years ago
- Gradient Boosting Enhanced with Step-Wise Feature Augmentation☆16Updated 4 years ago
- Tensorflow implementation of multi-task learning for language modeling and text classification.☆31Updated 2 years ago
- This repo contains implementation of advanced ML techniques. Includes model ensembles, cost-sensitive learning and dealing with class imb…☆18Updated 6 years ago
- Deep Learning - Multi-Task Representation Learning using Shared Architecture for Deep Neural Networks☆19Updated 8 years ago
- TensorFlow implementation of several popular Graph Neural Network layers, wrapped with tf.keras.layers.Layer.☆20Updated 5 years ago
- *SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach☆21Updated 6 years ago
- Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Ba…☆31Updated 3 years ago
- Representation based multi label classification with many labels☆40Updated 8 years ago
- Multi-Task Learning in NLP☆94Updated 7 years ago
- VAEs on Sparse Data☆12Updated 7 years ago
- Code and data for paper PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks☆16Updated 7 years ago
- Cost-Sensitive Multi-Label Classification☆19Updated 7 years ago
- This is a paper list for recent studies on optimization algorithms.☆12Updated 7 years ago