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66 public repositories
matching this topic...
The Natural Language Decathlon: A Multitask Challenge for NLP
Updated
Oct 7, 2019
Python
Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain
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Jul 24, 2019
Python
BERT for Multitask Learning
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Sep 7, 2020
Python
multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
Updated
Aug 12, 2020
Python
Reference code for the paper: Deep White-Balance Editing, CVPR 2020 (Oral). Our method is a deep learning multi-task framework for white-balance editing.
Updated
Jul 1, 2020
Python
Updated
Dec 3, 2019
Python
[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
Updated
Apr 10, 2020
Python
Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)
Updated
Jan 20, 2020
Python
[ICML 2020] PyTorch Code for "Efficient Continuous Pareto Exploration in Multi-Task Learning"
Updated
Aug 2, 2020
Jupyter Notebook
My notes and assignment solutions for Stanford CS330 (Fall 2019) Deep Multi-Task and Meta Learning
Updated
Aug 10, 2020
Jupyter Notebook
Multitask learning: protein secondary structure prediction, b-values prediction and solvent-accessibility prediction
Updated
Aug 23, 2018
Python
*SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach
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Oct 30, 2018
Python
Code for the paper "Multi-Task Learning for Domain-General Spoken Disfluency Detection in Dialogue Systems" (Igor Shalyminov, Arash Eshghi, and Oliver Lemon)
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Jul 23, 2020
Python
What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment
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Jun 20, 2020
Python
WIP implementation of "Box2Pix: Single-Shot Instance Segmentation by Assigning Pixels to Object Boxes"
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May 20, 2020
Python
Biomedical Event Extraction on CORD-19
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Jul 11, 2020
Python
[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
Implementation of Auxiliary Learning by Implicit Differentiation
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Jul 18, 2020
Python
End-to-end multimodal emotion and gender recognition with dynamic weights of joint loss
Updated
Sep 13, 2018
Python
Code for our IEEE TIP 2020 paper "Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton"
Updated
Aug 27, 2020
Python
A list of multi-task learning papers and projects.
Machine learning model implementations using pytorch, fastai, pytorch-lightning
Updated
Apr 14, 2020
Jupyter Notebook
Visual Question Answering System
Updated
Nov 13, 2019
Python
Multi-Task Neural Models for Translating Between Styles Within and Across Languages
Updated
Nov 28, 2019
Shell
sentiment analysis on multi-tasks using adversarial network
Updated
Jun 10, 2018
Python
A framework for multi-task learning, where you may precondition tasks and compose them into bigger tasks. Conditional objectives and per-task evaluations and interpretations.
Updated
Sep 4, 2020
Python
Suite of multitask learning methods.
Updated
Jun 19, 2019
Python
Multi-task Sparse Structure Learning method in Python
Updated
Jun 8, 2018
Python
Fake news detection in Filipino via Multitask Transfer Learning
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Ideally, we'd support something like
mnli += {pretrain_data_fraction = 0.5}, pretrain_tasks = {mnli,boolq}. Currently, pretrain_data_fraction is just a global argument for all pretraining tasks.