A Principled Approach for Learning Task Similarity in Multitask Learning

21 March 2019

Changjian Shui

Mahdieh Abbasi

Louis-Émile Robitaille

Boyu Wang

Christian Gagné

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Papers citing "A Principled Approach for Learning Task Similarity in Multitask Learning"

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Title
Personalized Federated Learning under Model Dissimilarity Constraints Samuel Erickson Mikael Johansson FedML 35 0 0 12 May 2025
Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions Kasra Borazjani Payam Abdisarabshali Naji Khosravan Seyyedali Hosseinalipour FedML 36 1 0 17 Mar 2025
Statistical Deficiency for Task Inclusion Estimation Loïc Fosse Frédéric Béchet Benoit Favre Géraldine Damnati Gwénolé Lecorvé Maxime Darrin Philippe Formont Pablo Piantanida 136 0 0 07 Mar 2025
Enabling Asymmetric Knowledge Transfer in Multi-Task Learning with Self-Auxiliaries Olivier Graffeuille Yun Sing Koh Joerg Wicker Moritz Lehmann 21 0 0 21 Oct 2024
Exploring Dark Knowledge under Various Teacher Capacities and Addressing Capacity Mismatch Xin-Chun Li Wen-Shu Fan Bowen Tao Le Gan De-Chuan Zhan 22 2 0 21 May 2024
Can Similarity-Based Domain-Ordering Reduce Catastrophic Forgetting for Intent Recognition? Amogh Mannekote Xiaoyi Tian K. Boyer Bonnie J. Dorr CLL 28 1 0 21 Feb 2024
Scalarization for Multi-Task and Multi-Domain Learning at Scale Amelie Royer Tijmen Blankevoort B. Bejnordi 28 17 0 13 Oct 2023
Model-based adaptation for sample efficient transfer in reinforcement learning control of parameter-varying systems Ibrahim Ahmed Marcos Quiñones-Grueiro G. Biswas 8 0 0 20 May 2023
A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and Prospects Leo Pauly Wassim Rharbaoui Carl Shneider A. Rathinam Vincent Gaudillière Djamila Aouada 26 45 0 12 May 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths Yingcong Li Samet Oymak MoE 26 4 0 08 Mar 2023
Task Weighting in Meta-learning with Trajectory Optimisation Cuong C. Nguyen Thanh-Toan Do G. Carneiro 21 3 0 04 Jan 2023
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction Dylan Sam J. Zico Kolter NoLa OffRL 37 13 0 13 Dec 2022
Regressing Relative Fine-Grained Change for Sub-Groups in Unreliable Heterogeneous Data Through Deep Multi-Task Metric Learning Niall O' Mahony S. Campbell L. Krpalkova Joseph Walsh Daniel Riordan 6 1 0 11 Aug 2022
AdaTask: Adaptive Multitask Online Learning Pierre Laforgue A. Vecchia Nicolò Cesa-Bianchi Lorenzo Rosasco 6 2 0 31 May 2022
Explaining the Effectiveness of Multi-Task Learning for Efficient Knowledge Extraction from Spine MRI Reports Arijit Sehanobish M. Sandora Nabila Abraham Jayashri Pawar Danielle Torres Anasuya Das M. Becker Richard Herzog Benjamin Odry Ron Vianu 11 3 0 06 May 2022
Efficient Extraction of Pathologies from C-Spine Radiology Reports using Multi-Task Learning Arijit Sehanobish Nathaniel K. Brown Ishita Daga Jayashri Pawar Danielle Torres Anasuya Das M. Becker Richard Herzog Benjamin Odry Ron Vianu MedIm 11 2 0 09 Apr 2022
PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression Jiacheng Zhu Gregory Darnell Agni Kumar Ding Zhao Bo-wen Li X. Nguyen S. Ren OOD 32 5 0 19 Mar 2022
Gap Minimization for Knowledge Sharing and Transfer Boyu Wang Jorge Armando Mendez Mendez Changjian Shui Fan Zhou Di Wu Gezheng Xu Christian Gagné Eric Eaton 18 10 0 26 Jan 2022
Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning Baijiong Lin Feiyang Ye Yu Zhang Ivor W. Tsang 34 93 0 20 Nov 2021
Probabilistic task modelling for meta-learning Cuong C. Nguyen Thanh-Toan Do G. Carneiro BDL 15 5 0 09 Jun 2021
Multitask Online Mirror Descent Nicolò Cesa-Bianchi Pierre Laforgue Andrea Paudice Massimiliano Pontil LRM 14 6 0 04 Jun 2021
Aggregating From Multiple Target-Shifted Sources Changjian Shui Zijian Li Jiaqi Li Christian Gagné Charles X. Ling Boyu Wang 31 29 0 09 May 2021
A Taxonomy of Similarity Metrics for Markov Decision Processes Á. Visús Javier García Fernando Fernández 6 12 0 08 Mar 2021
Multi-task Learning by Leveraging the Semantic Information Fan Zhou B. Chaib-draa Boyu Wang 17 12 0 03 Mar 2021
Similarity of Classification Tasks Cuong C. Nguyen Thanh-Toan Do G. Carneiro 11 7 0 27 Jan 2021
Invariant Feature Learning for Sensor-based Human Activity Recognition Yujiao Hao Boyu Wang Rong Zheng 19 20 0 14 Dec 2020
How Does the Task Landscape Affect MAML Performance? Liam Collins Aryan Mokhtari Sanjay Shakkottai 14 3 0 27 Oct 2020
Byzantine Resilient Distributed Multi-Task Learning Jiani Li W. Abbas X. Koutsoukos 12 8 0 25 Oct 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 25 608 0 10 Sep 2020
A Survey on Negative Transfer Wen Zhang Lingfei Deng Lei Zhang Dongrui Wu AAML 25 205 0 02 Sep 2020
Discriminative Active Learning for Domain Adaptation Fan Zhou Changjian Shui Bincheng Huang Boyu Wang B. Chaib-draa OOD 11 25 0 24 May 2020
Understanding and Improving Information Transfer in Multi-Task Learning Sen Wu Hongyang R. Zhang Christopher Ré 18 154 0 02 May 2020
Weighted Meta-Learning Diana Cai Rishit Sheth Lester W. Mackey Nicolò Fusi 27 12 0 20 Mar 2020
Deep Active Learning: Unified and Principled Method for Query and Training Changjian Shui Fan Zhou Christian Gagné Boyu Wang FedML 17 151 0 20 Nov 2019