Many Task Learning with Task Routing (original) (raw)

Design Perspectives of Multitask Deep Learning Models and Applications

Anupam Biswas

arXiv (Cornell University), 2022

View PDFchevron_right

Exploiting Unrelated Tasks in Multi-Task Learning

Nadia Bianchi-berthouze

2012

View PDFchevron_right

A comparison of loss weighting strategies for multi-task learning in deep neural networks

Suchismita Padhy

IEEE Access

View PDFchevron_right

Efficient and Scalable Multi-Task Regression on Massive Number of Tasks

Francesco Alesiani

Proceedings of the AAAI Conference on Artificial Intelligence

View PDFchevron_right

Deep multi-task learning with low level tasks supervised at lower layers

Anders Søgaard

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2016

View PDFchevron_right

Multi-stage multi-task feature learning

Jieping Ye

Journal of Machine Learning Research, 2013

View PDFchevron_right

Task Grouping for Automated Multi-Task Machine Learning via Task Affinity Prediction

Afiya Ayman

arXiv (Cornell University), 2023

View PDFchevron_right

SLAW: Scaled Loss Approximate Weighting for Efficient Multi-Task Learning

Jana Kosecka

ArXiv, 2021

View PDFchevron_right

Learning Multiple Tasks with Deep Relationship Networks

Philip Yu

ArXiv, 2015

View PDFchevron_right

Large Dimensional Analysis and Improvement of Multi Task Learning

Malik Tiomoko

Cornell University - arXiv, 2020

View PDFchevron_right

Adaptive weight assignment scheme for multi-task learning

Aminul Huq

IAES International Journal of Artificial Intelligence (IJ-AI), 2022

View PDFchevron_right

Navigating the Trade-Off between Multi-Task Learning and Learning to Multitask in Deep Neural Networks

Maia Hamin

ArXiv, 2020

View PDFchevron_right

Learning Multiple Tasks with Multilinear Relationship Networks

Zhangjie Cao

2017

View PDFchevron_right

Learning Task Relatedness in Multi-Task Learning for Images in Context

Marcel Worring

Proceedings of the 2019 on International Conference on Multimedia Retrieval - ICMR '19, 2019

View PDFchevron_right

Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning

Matthew Riemer

ArXiv, 2018

View PDFchevron_right

Heterogeneous Multi-task Semantic Feature Learning for Classification

Sinno Jialin Pan

Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, 2015

View PDFchevron_right

Deep Convolutional Neural Networks for Multi-Instance Multi-Task Learning

Tao Zeng

View PDFchevron_right

Disjoint Multi-task Learning Between Heterogeneous Human-Centric Tasks

In Kweon

2018

View PDFchevron_right

Association Graph Learning for Multi-Task Classification with Category Shifts

Marcel Worring

arXiv (Cornell University), 2022

View PDFchevron_right

MALSAR: Multi-tAsk Learning via StructurAl Regularization

Jiayu Zhou

2012

View PDFchevron_right

Asymmetric Multi-Task Learning with Local Transference

Fernando J. Von Zuben

ACM Transactions on Knowledge Discovery from Data, 2022

View PDFchevron_right

Variational Multi-Task Learning with Gumbel-Softmax Priors

Jiayi Shen

Cornell University - arXiv, 2021

View PDFchevron_right

Learning multiple tasks with kernel methods

Robert Williamson

Journal of Machine Learning Research, 2006

View PDFchevron_right

Empirical evaluation of multi-task learning in deep neural networks for natural language processing

liqun Ma

Neural Computing and Applications, 2020

View PDFchevron_right

Learning with Whom to Share in Multi-task Feature Learning

Fei Sha

2011

View PDFchevron_right

Clustered Multi-Task Learning Via Alternating Structure Optimization

Jiayu Zhou

Advances in neural information processing systems, 2011

View PDFchevron_right

Regularizing Deep Multi-Task Networks using Orthogonal Gradients

Yike Guo Guo

ArXiv, 2019

View PDFchevron_right

Multi-task Learning by Maximizing Statistical Dependence

Darren Cosker

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018

View PDFchevron_right

Solving a huge number of similar tasks: a combination of multi-task learning and a hierarchical Bayesian approach

Tom Heskes

1998

View PDFchevron_right

OmniNet: A unified architecture for multi-modal multi-task learning

Aman Hussain

2019

View PDFchevron_right

Shared Structure Learning for Multiple Tasks with Multiple Views

Qing He

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2013), 2013

View PDFchevron_right

Multi-task Multi-view Learning for Heterogeneous Tasks

Qing He

View PDFchevron_right

A Divide-and-Conquer Method for Scalable Robust Multitask Learning

Rongkai Xia

IEEE Transactions on Neural Networks and Learning Systems, 2015

View PDFchevron_right

MBMT-Net: A Multi-Task Learning Based Convolutional Neural Network Architecture for Dense Prediction Tasks

Gabriela Czibula

IEEE Access

View PDFchevron_right

Kernel Multi-task Learning using Task-specific Features

Felix Agakov

View PDFchevron_right