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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
Advancing Head and Neck Cancer Survival Prediction via Multi-Label
  Learning and Deep Model Interpretation
Advancing Head and Neck Cancer Survival Prediction via Multi-Label Learning and Deep Model Interpretation
Meixu Chen
Kai Wang
Jing Wang
21
0
0
09 May 2024
Towards Incremental Learning in Large Language Models: A Critical Review
Towards Incremental Learning in Large Language Models: A Critical Review
M. Jovanovic
Peter Voss
ELM
CLL
KELM
43
5
0
28 Apr 2024
Low-Rank Knowledge Decomposition for Medical Foundation Models
Low-Rank Knowledge Decomposition for Medical Foundation Models
Yuhang Zhou
Haolin Li
Siyuan Du
Jiangchao Yao
Ya Zhang
Yanfeng Wang
28
3
0
26 Apr 2024
Machine Learning Techniques for MRI Data Processing at Expanding Scale
Machine Learning Techniques for MRI Data Processing at Expanding Scale
Taro Langner
35
0
0
22 Apr 2024
Fair Concurrent Training of Multiple Models in Federated Learning
Fair Concurrent Training of Multiple Models in Federated Learning
Marie Siew
Haoran Zhang
Jong-Ik Park
Yuezhou Liu
Yichen Ruan
Lili Su
Stratis Ioannidis
Edmund Yeh
Carlee Joe-Wong
FedML
38
3
0
22 Apr 2024
Grasper: A Generalist Pursuer for Pursuit-Evasion Problems
Grasper: A Generalist Pursuer for Pursuit-Evasion Problems
Pengdeng Li
Shuxin Li
Xinrun Wang
Jakub Cerny
Youzhi Zhang
Stephen McAleer
Hau Chan
Bo An
42
1
0
19 Apr 2024
TIMIT Speaker Profiling: A Comparison of Multi-task learning and
  Single-task learning Approaches
TIMIT Speaker Profiling: A Comparison of Multi-task learning and Single-task learning Approaches
Rong Wang
Kun Sun
16
0
0
18 Apr 2024
Physical formula enhanced multi-task learning for pharmacokinetics
  prediction
Physical formula enhanced multi-task learning for pharmacokinetics prediction
Ruifeng Li
Dongzhan Zhou
Ancheng Shen
Ao Zhang
Mao Su
...
Gang Chen
Yin Zhang
Shufei Zhang
Yuqiang Li
Wanli Ouyang
29
2
0
16 Apr 2024
Data-Driven Preference Sampling for Pareto Front Learning
Data-Driven Preference Sampling for Pareto Front Learning
Rongguang Ye
Lei Chen
Weiduo Liao
Jinyuan Zhang
H. Ishibuchi
33
2
0
12 Apr 2024
Multi-Task Learning for Features Extraction in Financial Annual Reports
Multi-Task Learning for Features Extraction in Financial Annual Reports
Syrielle Montariol
Matej Martinc
Andraz Pelicon
Senja Pollak
Boshko Koloski
Igor Loncarski
Aljoša Valentinčič
17
2
0
08 Apr 2024
Multi-Task Learning as enabler for General-Purpose AI-native RAN
Multi-Task Learning as enabler for General-Purpose AI-native RAN
Hasan Farooq
Julien Forgeat
Shruti Bothe
K. Čyras
Md Moin
36
0
0
05 Apr 2024
Multi-task learning via robust regularized clustering with non-convex
  group penalties
Multi-task learning via robust regularized clustering with non-convex group penalties
Akira Okazaki
Shuichi Kawano
OOD
24
0
0
04 Apr 2024
MTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal
  Control
MTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal Control
Liwen Zhu
Peixi Peng
Zongqing Lu
Yonghong Tian
21
2
0
01 Apr 2024
Modeling Output-Level Task Relatedness in Multi-Task Learning with
  Feedback Mechanism
Modeling Output-Level Task Relatedness in Multi-Task Learning with Feedback Mechanism
Xiangming Xi
Feng Gao
Jun Xu
Fangtai Guo
Tianlei Jin
27
0
0
01 Apr 2024
MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning
MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning
Ahmed A. Agiza
Marina Neseem
Sherief Reda
MoE
50
12
0
29 Mar 2024
FastCAR: Fast Classification And Regression Multi-Task Learning via Task
  Consolidation for Modelling a Continuous Property Variable of Object Classes
FastCAR: Fast Classification And Regression Multi-Task Learning via Task Consolidation for Modelling a Continuous Property Variable of Object Classes
Anoop Kini
A. Jansche
T. Bernthaler
Gerhard Schneider
28
0
0
26 Mar 2024
InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse
  Diffusion
InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse Diffusion
Jihyun Lee
Shunsuke Saito
Giljoo Nam
Minhyuk Sung
Tae-Kyun Kim
45
11
0
26 Mar 2024
Multi-Task Learning with Multi-Task Optimization
Multi-Task Learning with Multi-Task Optimization
Lu Bai
Abhishek Gupta
Yew-Soon Ong
34
2
0
24 Mar 2024
Are NeRFs ready for autonomous driving? Towards closing the
  real-to-simulation gap
Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap
Carl Lindström
Georg Hess
Adam Lilja
M. Fatemi
Lars Hammarstrand
Christoffer Petersson
Lennart Svensson
AI4CE
46
10
0
24 Mar 2024
Configurable Holography: Towards Display and Scene Adaptation
Configurable Holography: Towards Display and Scene Adaptation
Yicheng Zhan
Liang Shi
Wojciech Matusik
Qi Sun
K. Akşit
35
0
0
24 Mar 2024
DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from
  Partially Annotated Data
DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data
Hanrong Ye
Dan Xu
DiffM
65
5
0
22 Mar 2024
Loop Improvement: An Efficient Approach for Extracting Shared Features
  from Heterogeneous Data without Central Server
Loop Improvement: An Efficient Approach for Extracting Shared Features from Heterogeneous Data without Central Server
Fei Li
C. K. Loo
W. S. Liew
Xiaofeng Liu
FedML
29
0
0
21 Mar 2024
Regularization-Based Efficient Continual Learning in Deep State-Space
  Models
Regularization-Based Efficient Continual Learning in Deep State-Space Models
Yuanhang Zhang
Zhidi Lin
Yiyong Sun
Feng Yin
Carsten Fritsche
CLL
26
2
0
15 Mar 2024
Fisher Mask Nodes for Language Model Merging
Fisher Mask Nodes for Language Model Merging
Thennal D K
Ganesh Nathan
Suchithra M S
MoMe
AI4CE
47
5
0
14 Mar 2024
Machine Learning Techniques for Sensor-based Human Activity Recognition
  with Data Heterogeneity -- A Review
Machine Learning Techniques for Sensor-based Human Activity Recognition with Data Heterogeneity -- A Review
Xiaozhou Ye
Kouichi Sakurai
Nirmal Nair
Kevin I-Kai Wang
23
7
0
12 Mar 2024
Towards In-Vehicle Multi-Task Facial Attribute Recognition:
  Investigating Synthetic Data and Vision Foundation Models
Towards In-Vehicle Multi-Task Facial Attribute Recognition: Investigating Synthetic Data and Vision Foundation Models
Esmaeil Seraj
Walter Talamonti
30
0
0
10 Mar 2024
CoTBal: Comprehensive Task Balancing for Multi-Task Visual Instruction Tuning
CoTBal: Comprehensive Task Balancing for Multi-Task Visual Instruction Tuning
Yanqi Dai
Dong Jing
Nanyi Fei
Zhiwu Lu
Nanyi Fei
Guoxing Yang
Zhiwu Lu
58
3
0
07 Mar 2024
Can Audio Reveal Music Performance Difficulty? Insights from the Piano
  Syllabus Dataset
Can Audio Reveal Music Performance Difficulty? Insights from the Piano Syllabus Dataset
Pedro Ramoneda
Minhee Lee
Dasaem Jeong
J. J. Valero-Mas
Xavier Serra
31
1
0
06 Mar 2024
Learning to Maximize Mutual Information for Chain-of-Thought
  Distillation
Learning to Maximize Mutual Information for Chain-of-Thought Distillation
Xin Chen
Hanxian Huang
Yanjun Gao
Yi Wang
Jishen Zhao
Ke Ding
45
12
0
05 Mar 2024
A Backpack Full of Skills: Egocentric Video Understanding with Diverse
  Task Perspectives
A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives
Simone Alberto Peirone
Francesca Pistilli
A. Alliegro
Giuseppe Averta
EgoV
35
5
0
05 Mar 2024
Demonstrating Mutual Reinforcement Effect through Information Flow
Demonstrating Mutual Reinforcement Effect through Information Flow
Chengguang Gan
Xuzheng He
Qinghao Zhang
Tatsunori Mori
19
0
0
05 Mar 2024
Pareto-Optimal Estimation and Policy Learning on Short-term and
  Long-term Treatment Effects
Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects
Yingrong Wang
Anpeng Wu
Haoxuan Li
Weiming Liu
Qiaowei Miao
Ruoxuan Xiong
Fei Wu
Kun Kuang
50
0
0
05 Mar 2024
Training-Free Pretrained Model Merging
Training-Free Pretrained Model Merging
Zhenxing Xu
Ke Yuan
Huiqiong Wang
Yong Wang
Mingli Song
Mingli Song
MoMe
32
15
0
04 Mar 2024
Large Convolutional Model Tuning via Filter Subspace
Large Convolutional Model Tuning via Filter Subspace
Wei Chen
Zichen Miao
Qiang Qiu
59
3
0
01 Mar 2024
UNITS: A Unified Multi-Task Time Series Model
UNITS: A Unified Multi-Task Time Series Model
Shanghua Gao
Teddy Koker
Owen Queen
Thomas Hartvigsen
Theodoros Tsiligkaridis
Marinka Zitnik
AI4TS
43
17
0
29 Feb 2024
Effective Two-Stage Knowledge Transfer for Multi-Entity Cross-Domain
  Recommendation
Effective Two-Stage Knowledge Transfer for Multi-Entity Cross-Domain Recommendation
Jianyu Guan
Zongming Yin
Tianyi Zhang
Leihui Chen
Yin Zhang
Fei Huang
Jufeng Chen
Shuguang Han
24
1
0
29 Feb 2024
To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair
  Training on Shared Models
To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models
Cyrus Cousins
I. E. Kumar
Suresh Venkatasubramanian
FedML
41
1
0
29 Feb 2024
NocPlace: Nocturnal Visual Place Recognition via Generative and
  Inherited Knowledge Transfer
NocPlace: Nocturnal Visual Place Recognition via Generative and Inherited Knowledge Transfer
Bingxi Liu
Yiqun Wang
Huaqi Tao
Tingjun Huang
Fulin Tang
Yihong Wu
Jinqiang Cui
Hong Zhang
42
1
0
27 Feb 2024
Towards Environmental Preference Based Speech Enhancement For
  Individualised Multi-Modal Hearing Aids
Towards Environmental Preference Based Speech Enhancement For Individualised Multi-Modal Hearing Aids
Jasper Kirton-Wingate
Shafique Ahmed
Adeel Hussain
M. Gogate
K. Dashtipour
Jen-Cheng Hou
Tassadaq Hussain
Yu Tsao
Amir Hussain
26
0
0
26 Feb 2024
Fair Resource Allocation in Multi-Task Learning
Fair Resource Allocation in Multi-Task Learning
Hao Ban
Kaiyi Ji
35
11
0
23 Feb 2024
Alternating Weak Triphone/BPE Alignment Supervision from Hybrid Model
  Improves End-to-End ASR
Alternating Weak Triphone/BPE Alignment Supervision from Hybrid Model Improves End-to-End ASR
Jintao Jiang
Yingbo Gao
Mohammad Zeineldeen
Zoltán Tüske
34
0
0
23 Feb 2024
A Comprehensive Survey of Convolutions in Deep Learning: Applications,
  Challenges, and Future Trends
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
Abolfazl Younesi
Mohsen Ansari
Mohammadamin Fazli
A. Ejlali
Muhammad Shafique
Joerg Henkel
3DV
52
45
0
23 Feb 2024
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot
  Generalization
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization
Fei Liu
Xi Lin
Zhenkun Wang
Qingfu Zhang
Xialiang Tong
Mingxuan Yuan
31
20
0
23 Feb 2024
Towards Principled Task Grouping for Multi-Task Learning
Towards Principled Task Grouping for Multi-Task Learning
Chenguang Wang
Xuanhao Pan
Tianshu Yu
38
0
0
23 Feb 2024
LoRETTA: Low-Rank Economic Tensor-Train Adaptation for
  Ultra-Low-Parameter Fine-Tuning of Large Language Models
LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models
Yifan Yang
Jiajun Zhou
Ngai Wong
Zheng Zhang
29
7
0
18 Feb 2024
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and
  Monocular Depth Estimation
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation
S. Landgraf
Markus Hillemann
Theodor Kapler
Markus Ulrich
UQCV
36
8
0
16 Feb 2024
MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional
  Feature Selection
MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selection
Xubin Wang
Haojiong Shangguan
Fengyi Huang
Shangrui Wu
Weijia Jia
17
9
0
14 Feb 2024
Fairness Auditing with Multi-Agent Collaboration
Fairness Auditing with Multi-Agent Collaboration
M. Vos
Akash Dhasade
Jade Garcia Bourrée
Anne-Marie Kermarrec
Erwan Le Merrer
Benoit Rottembourg
Gilles Tredan
MLAU
26
1
0
13 Feb 2024
Explaining Veracity Predictions with Evidence Summarization: A
  Multi-Task Model Approach
Explaining Veracity Predictions with Evidence Summarization: A Multi-Task Model Approach
R. Çekinel
Pinar Senkul
AAML
36
3
0
09 Feb 2024
Training Large Language Models for Reasoning through Reverse Curriculum
  Reinforcement Learning
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
Zhiheng Xi
Wenxiang Chen
Boyang Hong
Senjie Jin
Rui Zheng
...
Xinbo Zhang
Peng Sun
Tao Gui
Qi Zhang
Xuanjing Huang
LRM
42
22
0
08 Feb 2024
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