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A Survey on Multi-Task Learning

A Survey on Multi-Task Learning

25 July 2017
Yu Zhang
Qiang Yang
    AIMat
ArXivPDFHTML

Papers citing "A Survey on Multi-Task Learning"

50 / 787 papers shown
Title
Bridging Speech Emotion Recognition and Personality: Dataset and Temporal Interaction Condition Network
Bridging Speech Emotion Recognition and Personality: Dataset and Temporal Interaction Condition Network
Yuan Gao
Hao Shi
Yahui Fu
Chenhui Chu
Tatsuya Kawahara
14
0
0
20 May 2025
Transfer Learning from Visual Speech Recognition to Mouthing Recognition in German Sign Language
Transfer Learning from Visual Speech Recognition to Mouthing Recognition in German Sign Language
Dinh Nam Pham
Eleftherios Avramidis
SLR
25
0
0
20 May 2025
XDementNET: An Explainable Attention Based Deep Convolutional Network to Detect Alzheimer Progression from MRI data
XDementNET: An Explainable Attention Based Deep Convolutional Network to Detect Alzheimer Progression from MRI data
Soyabul Islam Lincoln
Mirza Mohd Shahriar Maswood
MedIm
25
0
0
20 May 2025
Towards Better Evaluation for Generated Patent Claims
Towards Better Evaluation for Generated Patent Claims
Lekang Jiang
Pascal A Scherz
Stephan Goetz
ELM
30
0
0
16 May 2025
CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging
CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging
Wenju Sun
Qingyong Li
Yangli-ao Geng
Boyang Li
MoMe
40
0
0
11 May 2025
RiM: Record, Improve and Maintain Physical Well-being using Federated Learning
RiM: Record, Improve and Maintain Physical Well-being using Federated Learning
Aditya Mishra
Haroon R. Lone
21
0
0
09 May 2025
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
Jialong Jiang
Wenkang Hu
Jian Huang
Yuling Jiao
Xu Liu
DiffM
50
0
0
08 May 2025
MTL-UE: Learning to Learn Nothing for Multi-Task Learning
MTL-UE: Learning to Learn Nothing for Multi-Task Learning
Yi Yu
Song Xia
Siyuan Yang
Chenqi Kong
Wenhan Yang
Shijian Lu
Yap-Peng Tan
Alex Chichung Kot
48
0
0
08 May 2025
Collaborative Multi-LoRA Experts with Achievement-based Multi-Tasks Loss for Unified Multimodal Information Extraction
Collaborative Multi-LoRA Experts with Achievement-based Multi-Tasks Loss for Unified Multimodal Information Extraction
Li Yuan
Yi Cai
Xudong Shen
Qing Li
Qingbao Huang
Zikun Deng
Tao Wang
MoMe
OffRL
MoE
46
0
0
08 May 2025
PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model
PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model
Baijiong Lin
Weisen Jiang
Yuancheng Xu
Hao Chen
Ying-Cong Chen
33
0
0
06 May 2025
GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds
GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds
Aoran Chen
Yang Feng
31
0
0
05 May 2025
DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model
DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model
Zhanglin Wu
Tengfei Song
Ning Xie
Feiyu Xiong
Pengfei Li
Shuang Wu
Chong Li
Junhao Zhu
Hao Yang
39
0
0
24 Apr 2025
MTSGL: Multi-Task Structure Guided Learning for Robust and Interpretable SAR Aircraft Recognition
MTSGL: Multi-Task Structure Guided Learning for Robust and Interpretable SAR Aircraft Recognition
Qishan He
Lingjun Zhao
Ru Luo
Siqian Zhang
Lin Lei
Kefeng Ji
Gangyao Kuang
27
0
0
23 Apr 2025
Multi-task Federated Learning with Encoder-Decoder Structure: Enabling Collaborative Learning Across Different Tasks
Multi-task Federated Learning with Encoder-Decoder Structure: Enabling Collaborative Learning Across Different Tasks
Jingxuan Zhou
Weidong Bao
Ji Wang
Dayu Zhang
Xiongtao Zhang
Yaohong Zhang
FedML
47
1
0
14 Apr 2025
Efficient Multi-Task Modeling through Automated Fusion of Trained Models
Efficient Multi-Task Modeling through Automated Fusion of Trained Models
Jingxuan Zhou
Weidong Bao
Ji Wang
Zhengyi Zhong
Dayu Zhang
MoMe
38
0
0
14 Apr 2025
Analogical Learning for Cross-Scenario Generalization: Framework and Application to Intelligent Localization
Analogical Learning for Cross-Scenario Generalization: Framework and Application to Intelligent Localization
Zirui Chen
Zhaoyang Zhang
Ziqing Xing
Ridong Li
Zhaohui Yang
Richeng Jin
Chongwen Huang
YuZhi Yang
Mérouane Debbah
26
1
0
09 Apr 2025
Les Dissonances: Cross-Tool Harvesting and Polluting in Multi-Tool Empowered LLM Agents
Les Dissonances: Cross-Tool Harvesting and Polluting in Multi-Tool Empowered LLM Agents
Zichuan Li
Jian Cui
Xiaojing Liao
Luyi Xing
LLMAG
47
0
0
04 Apr 2025
Energy Weighted Learning Progress Guided Interleaved Multi-Task Learning
Energy Weighted Learning Progress Guided Interleaved Multi-Task Learning
Hanne Say
S. E. Ada
Emre Ugur
Erhan Öztop
CLL
45
0
0
01 Apr 2025
Hierarchical Adaptive Expert for Multimodal Sentiment Analysis
Hierarchical Adaptive Expert for Multimodal Sentiment Analysis
Jiahao Qin
Feng Liu
Lu Zong
37
0
0
25 Mar 2025
SimMotionEdit: Text-Based Human Motion Editing with Motion Similarity Prediction
SimMotionEdit: Text-Based Human Motion Editing with Motion Similarity Prediction
Zhengyuan Li
Kai Cheng
Anindita Ghosh
Uttaran Bhattacharya
Liangyan Gui
Aniket Bera
DiffM
VGen
50
0
0
23 Mar 2025
Learning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding
Learning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding
Selim F. Yilmaz
Can Karamanli
Deniz Gündüz
47
1
0
23 Mar 2025
Preference-Guided Diffusion for Multi-Objective Offline Optimization
Preference-Guided Diffusion for Multi-Objective Offline Optimization
Yashas Annadani
Syrine Belakaria
Stefano Ermon
Stefan Bauer
Barbara Engelhardt
50
1
0
21 Mar 2025
Landmarks Are Alike Yet Distinct: Harnessing Similarity and Individuality for One-Shot Medical Landmark Detection
Landmarks Are Alike Yet Distinct: Harnessing Similarity and Individuality for One-Shot Medical Landmark Detection
Xu He
Zhen Huang
Qingsong Yao
Xiaoqian Zhou
Shuoling Zhou
47
0
0
20 Mar 2025
TuneNSearch: a hybrid transfer learning and local search approach for solving vehicle routing problems
TuneNSearch: a hybrid transfer learning and local search approach for solving vehicle routing problems
Arthur Corrêa
Cristóvão Silva
Liming Xu
Alexandra Brintrup
Samuel Moniz
57
0
0
16 Mar 2025
Efficient Multi-Task Inferencing: Model Merging with Gromov-Wasserstein Feature Alignment
Luyang Fang
Ehsan Latif
Haoran Lu
Yue Zhou
Ping Ma
Xiaoming Zhai
MoMe
86
0
0
12 Mar 2025
Extra Clients at No Extra Cost: Overcome Data Heterogeneity in Federated Learning with Filter Decomposition
Wei Chen
Qiang Qiu
FedML
72
0
0
11 Mar 2025
Keeping Representation Similarity in Finetuning for Medical Image Analysis
Wenqiang Zu
Shenghao Xie
Hao Chen
Yiming Liang
Lei Ma
MedIm
OOD
48
0
0
10 Mar 2025
Seeing Delta Parameters as JPEG Images: Data-Free Delta Compression with Discrete Cosine Transform
Chenyu Huang
Peng Ye
Xueliang Wang
Shenghe Zheng
Biqing Qi
Lei Bai
Wanli Ouyang
Tao Chen
36
0
0
09 Mar 2025
Statistical Deficiency for Task Inclusion Estimation
Loïc Fosse
Frédéric Béchet
Benoit Favre
Géraldine Damnati
Gwénolé Lecorvé
Maxime Darrin
Philippe Formont
Pablo Piantanida
201
0
0
07 Mar 2025
CACTUS: An Open Dataset and Framework for Automated Cardiac Assessment and Classification of Ultrasound Images Using Deep Transfer Learning
Hanae Elmekki
Ahmed Alagha
Hani Sami
Amanda Spilkin
Antonela Mariel Zanuttini
...
Philippe Pibarot
R. Mizouni
Hadi Otrok
Shakti Singh
Azzam Mourad
48
0
0
07 Mar 2025
Go Beyond Your Means: Unlearning with Per-Sample Gradient Orthogonalization
Aviv Shamsian
E. Shaar
Aviv Navon
Gal Chechik
Ethan Fetaya
MU
64
0
0
04 Mar 2025
Multi-Level Collaboration in Model Merging
Qi Li
Runpeng Yu
Xinchao Wang
MoMe
FedML
96
0
0
03 Mar 2025
Gradient-Guided Annealing for Domain Generalization
Gradient-Guided Annealing for Domain Generalization
Aristotelis Ballas
Christos Diou
OOD
228
0
0
27 Feb 2025
Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks
Luise Ge
Michael Lanier
Anindya Sarkar
Bengisu Guresti
Yevgeniy Vorobeychik
Chongjie Zhang
47
0
0
26 Feb 2025
Sharper Risk Bound for Multi-Task Learning with Multi-Graph Dependent Data
Sharper Risk Bound for Multi-Task Learning with Multi-Graph Dependent Data
Xiao Shao
Guoqiang Wu
60
0
0
25 Feb 2025
Urinary Tract Infection Detection in Digital Remote Monitoring: Strategies for Managing Participant-Specific Prediction Complexity
Urinary Tract Infection Detection in Digital Remote Monitoring: Strategies for Managing Participant-Specific Prediction Complexity
Kexin Fan
Alexander Capstick
R. Nilforooshan
Payam Barnaghi
44
0
0
18 Feb 2025
Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks
Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks
Yihang Gao
Michael K. Ng
Vincent Y. F. Tan
77
0
0
17 Feb 2025
Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning
Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning
Beining Zhang
Aditya Kapoor
Mingfei Sun
57
0
0
08 Feb 2025
Multi-task Online Learning for Probabilistic Load Forecasting
Multi-task Online Learning for Probabilistic Load Forecasting
Onintze Zaballa
Verónica Álvarez
Santiago Mazuelas
59
0
0
06 Feb 2025
Citation Recommendation based on Argumentative Zoning of User Queries
Citation Recommendation based on Argumentative Zoning of User Queries
Shutian Ma
Chengzhi Zhang
Heng Zhang
Zheng Gao
43
1
0
30 Jan 2025
Task Arithmetic in Trust Region: A Training-Free Model Merging Approach to Navigate Knowledge Conflicts
Wenju Sun
Qingyong Li
Wen Wang
Yangli-ao Geng
Boyang Li
51
3
0
28 Jan 2025
Pre-train and Fine-tune: Recommenders as Large Models
Pre-train and Fine-tune: Recommenders as Large Models
Zhenhao Jiang
Chong Chen
Hao Feng
Yu Yang
Jin Liu
Jie Zhang
Jia Jia
Ning Hu
44
0
0
24 Jan 2025
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks
Alessio Quercia
Erenus Yildiz
Zhuo Cao
Kai Krajsek
Abigail Morrison
Ira Assent
Hanno Scharr
58
0
0
22 Jan 2025
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond
Weiyu Chen
Xiaoyuan Zhang
Baijiong Lin
Xi Lin
Han Zhao
Qingfu Zhang
James T. Kwok
84
4
0
19 Jan 2025
A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning
A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning
Sergio Rozada
Santiago Paternain
J. Bazerque
Antonio G. Marques
69
0
0
17 Jan 2025
U-Fair: Uncertainty-based Multimodal Multitask Learning for Fairer Depression Detection
U-Fair: Uncertainty-based Multimodal Multitask Learning for Fairer Depression Detection
Jiaee Cheong
Aditya Bangar
Sinan Kalkan
Hatice Gunes
94
2
0
17 Jan 2025
Graph Contrastive Learning on Multi-label Classification for Recommendations
Graph Contrastive Learning on Multi-label Classification for Recommendations
Jiayang Wu
Wensheng Gan
Huashen Lu
Philip S. Yu
46
1
0
13 Jan 2025
Pareto Set Learning for Multi-Objective Reinforcement Learning
Pareto Set Learning for Multi-Objective Reinforcement Learning
Erlong Liu
Yu-Chang Wu
Xiaobin Huang
Chengrui Gao
Ren-Jian Wang
Ke Xue
Chao Qian
OffRL
47
2
0
12 Jan 2025
Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic
Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic
Yifei He
Yuzheng Hu
Yong Lin
Tong Zhang
Han Zhao
FedML
MoMe
65
19
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08 Jan 2025
Training-free Heterogeneous Model Merging
Zhengqi Xu
Han Zheng
Jie Song
Li Sun
Mingli Song
MoMe
72
1
0
03 Jan 2025
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