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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
Interactive Machine Teaching by Labeling Rules and Instances
Interactive Machine Teaching by Labeling Rules and Instances
Giannis Karamanolakis
Daniel J. Hsu
Luis Gravano
38
0
0
08 Sep 2024
Non-stationary and Sparsely-correlated Multi-output Gaussian Process
  with Spike-and-Slab Prior
Non-stationary and Sparsely-correlated Multi-output Gaussian Process with Spike-and-Slab Prior
Wang Xinming
Li Yongxiang
Yue Xiaowei
Wu Jianguo
26
0
0
05 Sep 2024
Learning Task-Based Trainable Neuromorphic ADCs via Power-Aware
  Distillation
Learning Task-Based Trainable Neuromorphic ADCs via Power-Aware Distillation
Tal Vol
Loai Danial
Nir Shlezinger
29
0
0
04 Sep 2024
Multi-frequency Neural Born Iterative Method for Solving 2-D Inverse
  Scattering Problems
Multi-frequency Neural Born Iterative Method for Solving 2-D Inverse Scattering Problems
Daoqi Liu
Tao Shan
Maokun Li
Fan Yang
Shenheng Xu
24
1
0
02 Sep 2024
Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning
Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning
Mohammadamin Banayeeanzade
Mahdi Soltanolkotabi
Mohammad Rostami
CLL
LRM
103
1
0
29 Aug 2024
MTMamba++: Enhancing Multi-Task Dense Scene Understanding via
  Mamba-Based Decoders
MTMamba++: Enhancing Multi-Task Dense Scene Understanding via Mamba-Based Decoders
Baijiong Lin
Weisen Jiang
Pengguang Chen
Shu Liu
Ying-Cong Chen
Mamba
47
1
0
27 Aug 2024
Subgroup Analysis via Model-based Rule Forest
Subgroup Analysis via Model-based Rule Forest
I-Ling Cheng
Chan Hsu
Chantung Ku
Pei-Ju Lee
Yihuang Kang
16
0
0
27 Aug 2024
Mitigating Metropolitan Carbon Emissions with Dynamic Eco-driving at
  Scale
Mitigating Metropolitan Carbon Emissions with Dynamic Eco-driving at Scale
Vindula Jayawardana
Baptiste Freydt
Ao Qu
Cameron Hickert
E. Sanchez
Catherine Tang
Mark Taylor
Blaine Leonard
Cathy Wu
42
1
0
10 Aug 2024
ParetoTracker: Understanding Population Dynamics in Multi-objective
  Evolutionary Algorithms through Visual Analytics
ParetoTracker: Understanding Population Dynamics in Multi-objective Evolutionary Algorithms through Visual Analytics
Zherui Zhang
Fan Yang
Ran Cheng
Yuxin Ma
24
1
0
08 Aug 2024
Extend Model Merging from Fine-Tuned to Pre-Trained Large Language
  Models via Weight Disentanglement
Extend Model Merging from Fine-Tuned to Pre-Trained Large Language Models via Weight Disentanglement
Le Yu
Bowen Yu
Haiyang Yu
Fei Huang
Yongbin Li
MoMe
35
5
0
06 Aug 2024
Label Augmentation for Neural Networks Robustness
Label Augmentation for Neural Networks Robustness
Fatemeh Amerehi
Patrick Healy
AAML
39
1
0
04 Aug 2024
State-of-the-art in Robot Learning for Multi-Robot Collaboration: A
  Comprehensive Survey
State-of-the-art in Robot Learning for Multi-Robot Collaboration: A Comprehensive Survey
Bin Wu
C. S. Suh
3DV
47
2
0
03 Aug 2024
Symmetric Graph Contrastive Learning against Noisy Views for
  Recommendation
Symmetric Graph Contrastive Learning against Noisy Views for Recommendation
Chu Zhao
Enneng Yang
Yuliang Liang
Jianzhe Zhao
Guibing Guo
Xingwei Wang
34
1
0
03 Aug 2024
Learning to Select the Best Forecasting Tasks for Clinical Outcome
  Prediction
Learning to Select the Best Forecasting Tasks for Clinical Outcome Prediction
Yuan Xue
Nan Du
A. Mottram
Martin G. Seneviratne
Andrew M. Dai
AI4TS
57
0
0
28 Jul 2024
Robust Multimodal 3D Object Detection via Modality-Agnostic Decoding and
  Proximity-based Modality Ensemble
Robust Multimodal 3D Object Detection via Modality-Agnostic Decoding and Proximity-based Modality Ensemble
Juhan Cha
Minseok Joo
Jihwan Park
Sanghyeok Lee
In-Ho Kim
Hyunwoo J. Kim
51
2
0
27 Jul 2024
Automated Code-centric Software Vulnerability Assessment: How Far Are
  We? An Empirical Study in C/C++
Automated Code-centric Software Vulnerability Assessment: How Far Are We? An Empirical Study in C/C++
Anh The Nguyen
T. H. Le
Muhammad Ali Babar
36
2
0
24 Jul 2024
On ADMM in Heterogeneous Federated Learning: Personalization,
  Robustness, and Fairness
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness
Shengkun Zhu
Jinshan Zeng
Sheng Wang
Yuan Sun
Xiaodong Li
Yuan Yao
Zhiyong Peng
60
0
0
23 Jul 2024
Efficient and generalizable prediction of molecular alterations in
  multiple cancer cohorts using H&E whole slide images
Efficient and generalizable prediction of molecular alterations in multiple cancer cohorts using H&E whole slide images
Kshitij Ingale
Sun Hae Hong
Qiyuan Hu
Renyu Zhang
Bolesław L. Osinski
Mina Khoshdeli
Josh Och
K. Nagpal
Martin C. Stumpe
Rohan P. Joshi
33
0
0
22 Jul 2024
Semantic-CC: Boosting Remote Sensing Image Change Captioning via
  Foundational Knowledge and Semantic Guidance
Semantic-CC: Boosting Remote Sensing Image Change Captioning via Foundational Knowledge and Semantic Guidance
Yongshuo Zhu
Lu Li
Keyan Chen
Chenyang Liu
Fugen Zhou
Z. Shi
42
4
0
19 Jul 2024
A deep latent variable model for semi-supervised multi-unit soft sensing
  in industrial processes
A deep latent variable model for semi-supervised multi-unit soft sensing in industrial processes
B. Grimstad
Kristian Lovland
Lars Imsland
V. Gunnerud
31
1
0
18 Jul 2024
GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation
  Similarity
GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similarity
Shuo Cao
Yihao Liu
Wenlong Zhang
Yu Qiao
Chao Dong
44
4
0
17 Jul 2024
Towards stable training of parallel continual learning
Towards stable training of parallel continual learning
Li Yuepan
Fan Lyu
Yuyang Li
Wei Feng
Guangcan Liu
Fanhua Shang
53
0
0
11 Jul 2024
AutoTask: Task Aware Multi-Faceted Single Model for Multi-Task Ads
  Relevance
AutoTask: Task Aware Multi-Faceted Single Model for Multi-Task Ads Relevance
Shouchang Guo
Sonam Damani
Keng-hao Chang
39
0
0
09 Jul 2024
UnmixingSR: Material-aware Network with Unsupervised Unmixing as
  Auxiliary Task for Hyperspectral Image Super-resolution
UnmixingSR: Material-aware Network with Unsupervised Unmixing as Auxiliary Task for Hyperspectral Image Super-resolution
Yang Yu
24
0
0
09 Jul 2024
MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based
  Decoders
MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders
Baijiong Lin
Weisen Jiang
Pengguang Chen
Yu Zhang
Shu Liu
Ying-Cong Chen
Mamba
46
9
0
02 Jul 2024
ECAT: A Entire space Continual and Adaptive Transfer Learning Framework
  for Cross-Domain Recommendation
ECAT: A Entire space Continual and Adaptive Transfer Learning Framework for Cross-Domain Recommendation
Chaoqun Hou
Yuanhang Zhou
Yi Cao
Tong Liu
28
1
0
02 Jul 2024
Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs
Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs
Ashwinee Panda
Berivan Isik
Xiangyu Qi
Sanmi Koyejo
Tsachy Weissman
Prateek Mittal
MoMe
45
14
0
24 Jun 2024
Hybrid Alignment Training for Large Language Models
Hybrid Alignment Training for Large Language Models
Chenglong Wang
Hang Zhou
Kaiyan Chang
Bei Li
Yongyu Mu
Tong Xiao
Tongran Liu
Jingbo Zhu
43
4
0
21 Jun 2024
Large Language Model as a Universal Clinical Multi-task Decoder
Large Language Model as a Universal Clinical Multi-task Decoder
Yujiang Wu
Hongjian Song
Jiawen Zhang
Xumeng Wen
Shun Zheng
Jiang Bian
41
1
0
18 Jun 2024
PDSS: A Privacy-Preserving Framework for Step-by-Step Distillation of
  Large Language Models
PDSS: A Privacy-Preserving Framework for Step-by-Step Distillation of Large Language Models
Tao Fan
Yan Kang
Weijing Chen
Hanlin Gu
Yuanfeng Song
Lixin Fan
Kai Chen
Qiang Yang
34
0
0
18 Jun 2024
Memory Sequence Length of Data Sampling Impacts the Adaptation of
  Meta-Reinforcement Learning Agents
Memory Sequence Length of Data Sampling Impacts the Adaptation of Meta-Reinforcement Learning Agents
Menglong Zhang
Fuyuan Qian
Quanying Liu
32
1
0
18 Jun 2024
A Mel Spectrogram Enhancement Paradigm Based on CWT in Speech Synthesis
A Mel Spectrogram Enhancement Paradigm Based on CWT in Speech Synthesis
Guoqiang Hu
Huaning Tan
Ruilai Li
26
2
0
18 Jun 2024
MetaGPT: Merging Large Language Models Using Model Exclusive Task
  Arithmetic
MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic
Yuyan Zhou
Liang Song
Bingning Wang
Weipeng Chen
MoMe
30
17
0
17 Jun 2024
Towards Efficient Pareto Set Approximation via Mixture of Experts Based
  Model Fusion
Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model Fusion
Anke Tang
Li Shen
Yong Luo
Shiwei Liu
Han Hu
Bo Du
MoMe
36
6
0
14 Jun 2024
OLGA: One-cLass Graph Autoencoder
OLGA: One-cLass Graph Autoencoder
M. Gôlo
José Gilberto Barbosa de Medeiros Junior
Diego Furtado Silva
R. Marcacini
39
0
0
13 Jun 2024
Interpetable Target-Feature Aggregation for Multi-Task Learning based on
  Bias-Variance Analysis
Interpetable Target-Feature Aggregation for Multi-Task Learning based on Bias-Variance Analysis
Paolo Bonetti
Alberto Maria Metelli
Marcello Restelli
41
0
0
12 Jun 2024
Optimal Gait Design for a Soft Quadruped Robot via Multi-fidelity
  Bayesian Optimization
Optimal Gait Design for a Soft Quadruped Robot via Multi-fidelity Bayesian Optimization
Kaige Tan
Xuezhi Niu
Qinglei Ji
Lei Feng
Martin Törngren
41
1
0
11 Jun 2024
Offline Multi-Objective Optimization
Offline Multi-Objective Optimization
Ke Xue
Rong-Xi Tan
Xiaobin Huang
Chao Qian
OffRL
56
5
0
06 Jun 2024
Personalized Topic Selection Model for Topic-Grounded Dialogue
Personalized Topic Selection Model for Topic-Grounded Dialogue
Shixuan Fan
Wei Wei
Xiaofei Wen
Xianling Mao
Jixiong Chen
Dangyang Chen
24
2
0
04 Jun 2024
Shared-unique Features and Task-aware Prioritized Sampling on Multi-task
  Reinforcement Learning
Shared-unique Features and Task-aware Prioritized Sampling on Multi-task Reinforcement Learning
Po-Shao Lin
Jia-Fong Yeh
Yi-Ting Chen
Winston H. Hsu
42
0
0
02 Jun 2024
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Xuan Wu
Di Wang
Lijie Wen
Yubin Xiao
Chunguo Wu
Yuesong Wu
Chaoyu Yu
D. Maskell
You Zhou
70
6
0
01 Jun 2024
Auto-selected Knowledge Adapters for Lifelong Person Re-identification
Auto-selected Knowledge Adapters for Lifelong Person Re-identification
Xuelin Qian
Ruiqi Wu
Gong Cheng
Junwei Han
CLL
52
2
0
29 May 2024
Machine learning in business process management: A systematic literature
  review
Machine learning in business process management: A systematic literature review
Sven Weinzierl
Sandra Zilker
Sebastian Dunzer
Martin Matzner
42
11
0
26 May 2024
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine
  Learning
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning
Minghao Xu
Yunteng Geng
Yihang Zhang
Ling Yang
Jian Tang
Wentao Zhang
40
2
0
25 May 2024
EMR-Merging: Tuning-Free High-Performance Model Merging
EMR-Merging: Tuning-Free High-Performance Model Merging
Chenyu Huang
Peng Ye
Tao Chen
Tong He
Xiangyu Yue
Wanli Ouyang
MoMe
46
29
0
23 May 2024
End-to-End Real-World Polyphonic Piano Audio-to-Score Transcription with
  Hierarchical Decoding
End-to-End Real-World Polyphonic Piano Audio-to-Score Transcription with Hierarchical Decoding
Wei Zeng
Xian He
Ye Wang
26
0
0
22 May 2024
RGB Guided ToF Imaging System: A Survey of Deep Learning-based Methods
RGB Guided ToF Imaging System: A Survey of Deep Learning-based Methods
Xin Qiao
Matteo Poggi
Pengchao Deng
Hao Wei
Chenyang Ge
S. Mattoccia
39
3
0
16 May 2024
Optimal Aggregation of Prediction Intervals under Unsupervised Domain
  Shift
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
Jiawei Ge
Debarghya Mukherjee
Jianqing Fan
28
1
0
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A safety realignment framework via subspace-oriented model fusion for
  large language models
A safety realignment framework via subspace-oriented model fusion for large language models
Xin Yi
Shunfan Zheng
Linlin Wang
Xiaoling Wang
Liang He
65
21
0
15 May 2024
Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for
  Motor-Impaired Individuals via Latent Embedding Exploitation
Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation
Riyad Bin Rafiq
Weishi Shi
Mark V. Albert
52
0
0
14 May 2024
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