The Wayback Machine - https://web.archive.org/web/20220525191754/https://github.com/topics/multi-task-learning
Here are
221 public repositories
matching this topic...
Multi-Task Deep Neural Networks for Natural Language Understanding
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Apr 9, 2022
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Python
🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP
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Apr 27, 2022
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Dec 14, 2018
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A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
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May 24, 2022
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The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].
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Feb 7, 2022
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Awesome Multitask Learning Resources
BERT for Multitask Learning
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May 24, 2022
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Jupyter Notebook
PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
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Jan 13, 2022
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Problem Agnostic Speech Encoder
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May 20, 2020
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Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)
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Nov 14, 2020
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A tensorflow implementation of MKR (Multi-task Learning for Knowledge Graph Enhanced Recommendation)
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Nov 22, 2019
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A Unified Framework and Analysis for Structured Knowledge Grounding
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May 13, 2022
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Dec 23, 2021
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MMSA is a unified framework for Multimodal Sentiment Analysis.
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May 13, 2022
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Code for "Gradient Surgery for Multi-Task Learning"
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Apr 28, 2020
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Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning
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Jun 20, 2020
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EQTransformer, a python package for earthquake signal detection and phase picking using AI.
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Apr 16, 2022
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Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.
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Jun 19, 2018
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Jupyter Notebook
Code for Sluice networks: Learning what to share between loosely related tasks
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Jan 28, 2019
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2022 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
LibMTL: A PyTorch Library for Multi-Task Learning
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May 16, 2022
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A Pytorch implementation of DeepCrack and RoadNet projects.
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Apr 27, 2021
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The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].
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Dec 19, 2021
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a Fast, Flexible, Extensible and Easy-to-use NLP Large-scale Pretraining and Multi-task Learning Framework.
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Mar 29, 2021
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Rank2 solution (no-BERT) for 2019 Language and Intelligence Challenge - DuReader2.0 Machine Reading Comprehension.
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Nov 1, 2019
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[CVPR2020] Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation, CVPR2020 (oral)
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Aug 13, 2020
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Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
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Jun 22, 2021
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Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.
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Jun 3, 2019
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Multi-Task Deep Neural Networks for Natural Language Understanding
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Jul 2, 2020
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[AKBC 19] Improving Relation Extraction by Pre-trained Language Representations
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Oct 1, 2021
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Python
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