Repository for the code of the paper "Deep Neural Networks Regularization for Structured Output Prediction"

This repository provides code for all the results reported in the GTN paper.

HyperFace

An Implementation of the Driving Scene Perception Network (DSPNet)

AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors

6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"

Reinforcement learning with unsupervised auxiliary tasks

Implementation of the Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning by Tianmin Shu, Caiming Xiong, and Richard Socher

A Tensorflow implementation of Adversarial Shared-Private Model for Multi-Task Learning and Transfer Learning.

Multi task feature learning: implementing for landmark, pose detection, glass availability tasks on face images

Multi-task learning for image classification implemented in PyTorch.

SRL4ORL: Improving Opinion Role Labeling Using Multi-Task Learning With Semantic Role Labeling

Implementation of "Multi-task Deep Learning for Satellite Image Pansharpening and Segmentation"

A greedy approach for finding optimal architecture for Multi-Task Learning. Deprecated (see https://github.com/hav4ik/Hydra)

Code for Sluice networks: Learning what to share between loosely related tasks

Facial Attributes,Multi-task Learning

TensorFlow implementation of the paper `Adversarial Multi-task Learning for Text Classification`

A prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.