multi-task-learning-example

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

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809

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200

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Jupyter Notebook

Last Updated

Nov 24, 2023

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Repo Language Stars Description Updated At
Python 53 Paper: https://arxiv.org/abs/1702.02285 Aug 29, 2022
Jupyter Notebook 21 paper: https://arxiv.org/abs/2110.08037 Apr 22, 2023
Python 74 Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019) Jul 30, 2022
Jupyter Notebook 50 Code for the paper https://arxiv.org/abs/2003.00827 Aug 30, 2022
Python 54 The repository for paper https://arxiv.org/abs/1902.10840 Mar 31, 2022
Python 22 Implement the paper: https://arxiv.org/abs/1907.05321 Sep 27, 2022
Python 22 Code for paper https://arxiv.org/abs/2102.13186 Sep 23, 2022
Python 7 Paper link: https://arxiv.org/abs/2001.01431 Aug 11, 2022
MATLAB 3 Code repo for the paper https://arxiv.org/abs/1809.05021 Jul 15, 2020
Jupyter Notebook 3 Python simulation for the paper https://arxiv.org/abs/1905.04708. Nov 28, 2022
Python 14 Implementation of the paper https://arxiv.org/abs/1603.00448. Oct 06, 2022
Python 6 code for uai2017 paper: https://arxiv.org/abs/1704.06131 Apr 06, 2021
OpenEdge ABL 9 code for icml paper: https://arxiv.org/abs/1711.03243v3 Jul 20, 2020
Lua 209 Neural network model, suitable for multi-agent learning. https://arxiv.org/abs/1605.07736 Oct 17, 2022
Python 27 A machine learning project for learning geospatial topology for the paper on https://arxiv.org/abs/1806.03857 Mar 09, 2023
Python 27 Remplementation of paper https://arxiv.org/abs/1705.08665 Oct 02, 2022
Jupyter Notebook 39 implementation of paper https://arxiv.org/abs/2210.04559 Apr 08, 2023
None 2 The ECCV2020 paper on example-guided image synthesis (arXiv: https://arxiv.org/abs/2004.10024) Sep 20, 2021
Python 343 code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503 Oct 14, 2022
Python 2 Official PyTorch Implementation for the paper https://arxiv.org/abs/2302.13929. May 10, 2023
Python 120 Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039) Sep 21, 2022
Python 110 The demo code for the MLDG paper "Learning to Generalize: Meta-Learning for Domain Generalization", https://arxiv.org/abs/1710.03463, … Oct 13, 2022
Python 214 paper: https://arxiv.org/abs/2307.02469 page: https://lynx-llm.github.io/ Jan 04, 2024
CSS 2 Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792 Sep 03, 2022
Python 188 Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459) Oct 12, 2022
CSS 23 Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792 Sep 11, 2022
Python 31 Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875) Oct 02, 2022
Python 155 Code and data for paper: https://arxiv.org/abs/1802.07101 Sep 26, 2022
Python 128 Code for ICRA 2021 paper: https://arxiv.org/abs/2012.03385 Apr 25, 2023
C++ 25 Code for IROS 2020 paper: https://arxiv.org/abs/1910.04854 Feb 10, 2023
Python 3 Code for Kinematic Highway paper (https://arxiv.org/abs/2103.16673) Aug 02, 2022
Python 6 Implementation for paper "Towards the Generalization of Contrastive Self-Supervised Learning" (https://arxiv.org/abs/2111.00743) Jun 06, 2022
Python 122 Code for the paper "True Few-Shot Learning in Language Models" (https://arxiv.org/abs/2105.11447) Oct 05, 2022
Python 9 Official Implementation of paper https://arxiv.org/abs/1801.02612 Sep 21, 2022
Jupyter Notebook 22 Official implementation of https://arxiv.org/abs/2105.08655 paper Sep 23, 2022
Jupyter Notebook 11 Official implementation of https://arxiv.org/abs/2108.11554 paper May 08, 2022
Python 3 Code for Off The Beaten Sidewalk paper (https://arxiv.org/abs/2006.00962) Mar 23, 2023
Python 62 Code for paper "CrossFit :weight_lifting:: A Few-shot Learning Challenge for Cross-task Generalization in NLP" (https://arxiv.org/abs/2104.08835) Aug 21, 2022
Python 149 The implementation of paper https://arxiv.org/abs/1704.07556, ACL 2017 May 23, 2022
C++ 60 Code accompanying the CVPR 2019 paper: https://arxiv.org/abs/1812.04155 Oct 06, 2022
Python 3 Implemented ABSGD Algorithm in the Paper https://arxiv.org/abs/2012.06951 Oct 19, 2022
Jupyter Notebook 4 Code for the results of the paper at https://arxiv.org/abs/1805.07601 Nov 17, 2022
Python 16 Implementation of the segmentation task for ISIC 2017. https://arxiv.org/abs/1703.04819 Jun 08, 2020
Python 67 Pytorch implementation of Bert and Pals: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning … Aug 17, 2022
Python 4 Codes accompanying the paper "Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning" (AAMAS … Apr 23, 2022
None 2 Paper List for Multi-task Learning Feb 23, 2022
Python 18 Implementation for paper "Few-Shot Learning with Global Class Representations" (https://arxiv.org/abs/1908.05257) Jun 06, 2022
Jupyter Notebook 16 [NOT OFFICIAL VERSION] Communication Algorithms via Deep Learning. Paper: https://arxiv.org/abs/1805.09317 Aug 13, 2022
Python 46 Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010 Jul 05, 2022
C++ 6 Codes for reproducing results in paper: https://arxiv.org/abs/1706.07555 Sep 07, 2020