Multi-task Sparse Structure Learning method in Python
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Updated
Jun 8, 2018 - Python
Multi-task Sparse Structure Learning method in Python
sentiment analysis on multi-tasks using adversarial network
Multitask Learning for Transcriptional Regulatory Network Inference in Julia
Multitask learning: protein secondary structure prediction, b-values prediction and solvent-accessibility prediction
End-to-end multimodal emotion and gender recognition with dynamic weights of joint loss
This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow
*SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach
🚬 JointUD - Universal Dependencies | Part-of-Speech tagging, Morphological parsing and Lemmatization
Thinking about how multi-task learning works in NLP and other fields.
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
Evaluate language models on syntactic tasks.
Scalable Bayesian Optimization : Comparison of various methods
ScalableML final project, replicating the paper "Learning General Purpose Distributed Sentence Representations via Large Scale Multitask Learning."
Suite of multitask learning methods.
Selective Forgetting of Classes and Tasks for Deep Neural Networks [In Tensorflow]
Chapter 10: Multi-task Learning
A simple implementation of the paper "Multitask Spectral Learning of Weighted Automata" by Rabusseau et al.
Visual Question Answering System
Multi-Task Neural Models for Translating Between Styles Within and Across Languages
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