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111 public repositories
matching this topic...
The Natural Language Decathlon: A Multitask Challenge for NLP
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Oct 25, 2021
Python
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Dec 31, 2021
Python
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Dec 14, 2021
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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Oct 31, 2020
Python
BERT for Multitask Learning
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Nov 16, 2021
Jupyter Notebook
Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.
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Jul 17, 2021
Python
multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
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Aug 25, 2021
Python
A list of multi-task learning papers and projects.
[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
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Mar 1, 2021
Python
This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018
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Nov 2, 2021
Jupyter Notebook
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Jan 1, 2022
Python
[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
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Sep 8, 2021
Python
reference pytorch code for named entity tagging
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Dec 7, 2021
Python
This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow
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Sep 23, 2018
Jupyter Notebook
[ICML 2020] PyTorch Code for "Efficient Continuous Pareto Exploration in Multi-Task Learning"
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Aug 12, 2021
Jupyter Notebook
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Dec 3, 2019
Python
Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]
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Aug 26, 2021
Python
Code for "Multi-task Reinforcement Learning with Soft Modularization"
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Dec 28, 2020
Python
Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)
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Jan 20, 2020
Python
BERT-based joint intent detection and slot filling with intent-slot attention mechanism (INTERSPEECH 2021)
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Oct 5, 2021
Python
Code for the paper Biomedical Event Extraction with Hierarchical Knowledge Graphs
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Sep 8, 2021
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.
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Nov 22, 2021
Python
Code for our IEEE TIP 2020 paper "Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton"
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Dec 13, 2021
Python
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data
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Aug 5, 2021
Python
My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning
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Sep 8, 2021
Jupyter Notebook
What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment
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Jul 28, 2021
Python
Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification
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Dec 30, 2021
Python
multi task mode for esmm and mmoe
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Jul 22, 2021
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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Sep 29, 2021
Python
Multitask learning: protein secondary structure prediction, b-values prediction and solvent-accessibility prediction
Updated
Aug 23, 2018
Python
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