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Multi-Task Learning with Deep Neural Networks: A Survey

Multi-Task Learning with Deep Neural Networks: A Survey

10 September 2020
M. Crawshaw
    CVBM
ArXiv (abs)PDFHTML

Papers citing "Multi-Task Learning with Deep Neural Networks: A Survey"

50 / 314 papers shown
UniSER: A Foundation Model for Unified Soft Effects Removal
UniSER: A Foundation Model for Unified Soft Effects Removal
Jingdong Zhang
Lingzhi Zhang
Qing Liu
M. Chiu
Connelly Barnes
...
Eli Shechtman
Sohrab Amirghodsi
Xin Li
Wenping Wang
Xiaohang Zhan
DiffM
200
2
0
30 Mar 2026
Causal Invariance and Counterfactual Learning Driven Cooperative Game for Multi-Label Classification
Causal Invariance and Counterfactual Learning Driven Cooperative Game for Multi-Label Classification
Yijia Fan
Jusheng Zhang
Kaitong Cai
Jing Yang
Keze Wang
111
0
0
30 Nov 2025
Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks
Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks
Susmit Agrawal
Krishn Vishwas Kher
Saksham Mittal
Swarnim Maheshwari
Vineeth N. Balasubramanian
CLL
200
1
0
30 Nov 2025
Identifying environmental factors associated with tetrodotoxin contamination in bivalve mollusks using eXplainable AI
Identifying environmental factors associated with tetrodotoxin contamination in bivalve mollusks using eXplainable AI
M.C. Schoppema
B.H.M. van der Velden
Ali Hürriyetoǧlu
M.D. Klijnstra
E.J. Faassen
Arjen Gerssen
H.J. van der Fels-Klerx
147
0
0
25 Nov 2025
Parameter Aware Mamba Model for Multi-task Dense Prediction
Parameter Aware Mamba Model for Multi-task Dense Prediction
Xinzhuo Yu
Yunzhi Zhuge
Sitong Gong
Lu Zhang
Pingping Zhang
Huchuan Lu
Mamba
450
0
0
18 Nov 2025
Multi-task GINN-LP for Multi-target Symbolic Regression
Multi-task GINN-LP for Multi-target Symbolic Regression
Hussein Rajabu
Lijun Qian
Xishuang Dong
146
0
0
17 Nov 2025
Encoder Fine-tuning with Stochastic Sampling Outperforms Open-weight GPT in Astronomy Knowledge Extraction
Encoder Fine-tuning with Stochastic Sampling Outperforms Open-weight GPT in Astronomy Knowledge Extraction
Shivam Rawat
Lucie Flek
Akbar Karimi
151
0
0
11 Nov 2025
MacroNav: Multi-Task Context Representation Learning Enables Efficient Navigation in Unknown Environments
MacroNav: Multi-Task Context Representation Learning Enables Efficient Navigation in Unknown Environments
Kuankuan Sima
Longbin Tang
Haozhe Ma
Tianyuan Chen
240
1
0
06 Nov 2025
Heterogeneous Adversarial Play in Interactive Environments
Heterogeneous Adversarial Play in Interactive Environments
Manjie Xu
Xinyi Yang
Jiayu Zhan
Wei Liang
Chi Zhang
Yixin Zhu
210
1
0
21 Oct 2025
Compressive Modeling and Visualization of Multivariate Scientific Data using Implicit Neural Representation
Compressive Modeling and Visualization of Multivariate Scientific Data using Implicit Neural Representation
Abhay Kumar Dwivedi
Shanu Saklani
Soumya Dutta
AI4CE
133
0
0
17 Oct 2025
MetaVLA: Unified Meta Co-training For Efficient Embodied Adaption
MetaVLA: Unified Meta Co-training For Efficient Embodied Adaption
Chen Li
Zhantao Yang
Han Zhang
Fangyi Chen
Chenchen Zhu
Anudeepsekhar Bolimera
Marios Savvides
VLM
237
1
0
07 Oct 2025
Large Language Models Hallucination: A Comprehensive Survey
Large Language Models Hallucination: A Comprehensive Survey
Aisha Alansari
Hamzah Luqman
HILMLRM
596
14
0
05 Oct 2025
C2AL: Cohort-Contrastive Auxiliary Learning for Large-scale Recommendation Systems
C2AL: Cohort-Contrastive Auxiliary Learning for Large-scale Recommendation Systems
Mertcan Cokbas
Ziteng Liu
Zeyi Tao
C. Zhang
Elder Veliz
...
Qiang Jin
Murat Duman
Benjamin Au
Guy Lebanon
Sagar Chordia
246
1
0
02 Oct 2025
EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing
EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing
Keming Wu
Sicong Jiang
Max Ku
Ping Nie
Minghao Liu
Wenhu Chen
181
20
0
30 Sep 2025
Neuroplasticity-inspired dynamic ANNs for multi-task demand forecasting
Neuroplasticity-inspired dynamic ANNs for multi-task demand forecasting
Mateusz Żarski
Sławomir Nowaczyk
130
0
0
29 Sep 2025
Parameter-Efficient Multi-Task Learning via Progressive Task-Specific Adaptation
Parameter-Efficient Multi-Task Learning via Progressive Task-Specific Adaptation
Neeraj Gangwar
A. Rangi
Rishabh Deshmukh
Holakou Rahmanian
Yesh Dattatreya
N. Kani
MoMe
188
0
0
23 Sep 2025
TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding
TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding
Kuiye Ding
Fanda Fan
Chunyi Hou
Zheya Wang
Lei Wang
Zhengxin Yang
Jianfeng Zhan
AI4TS
364
4
0
23 Sep 2025
Effects of Structural Allocation of Geometric Task Diversity in Linear Meta-Learning Models
Effects of Structural Allocation of Geometric Task Diversity in Linear Meta-Learning Models
Saptati Datta
Nicolas W. Hengartner
Yulia Pimonova
Natalie E. Klein
Nicholas Lubbers
255
0
0
22 Sep 2025
Anomaly Detection in Industrial Control Systems Based on Cross-Domain Representation Learning
Anomaly Detection in Industrial Control Systems Based on Cross-Domain Representation LearningIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2025
D. Zhan
Wenqi Zhang
Lin Ye
Xiangzhan Yu
Hongli Zhang
Zheng He
136
4
0
15 Sep 2025
Robust and Adaptive Spectral Method for Representation Multi-Task Learning with Contamination
Robust and Adaptive Spectral Method for Representation Multi-Task Learning with Contamination
Yian Huang
Yang Feng
Z. Ying
218
0
0
08 Sep 2025
Enhancing Mamba Decoder with Bidirectional Interaction in Multi-Task Dense Prediction
Enhancing Mamba Decoder with Bidirectional Interaction in Multi-Task Dense Prediction
Mang Cao
Sanping Zhou
Yizhe Li
Ye Deng
Wenli Huang
Le Wang
Mamba
211
0
0
28 Aug 2025
Two Birds with One Stone: Multi-Task Detection and Attribution of LLM-Generated Text
Two Birds with One Stone: Multi-Task Detection and Attribution of LLM-Generated Text
Zixin Rao
Youssef Mohamed
Shang Liu
Zeyan Liu
DeLMO
240
0
0
19 Aug 2025
Slice or the Whole Pie? Utility Control for AI Models
Slice or the Whole Pie? Utility Control for AI Models
Ye Tao
AAML
136
0
0
06 Aug 2025
Separating Shared and Domain-Specific LoRAs for Multi-Domain Learning
Separating Shared and Domain-Specific LoRAs for Multi-Domain Learning
Yusaku Takama
Ning Ding
Tatsuya Yokota
Toru Tamaki
217
1
0
05 Aug 2025
Beyond Hard Sharing: Efficient Multi-Task Speech-to-Text Modeling with Supervised Mixture of Experts
Beyond Hard Sharing: Efficient Multi-Task Speech-to-Text Modeling with Supervised Mixture of Experts
Hojun Jin
Eunsoo Hong
Ziwon Hyung
Sungjun Lim
Seungjin Lee
Keunseok Cho
MoE
142
0
0
05 Aug 2025
A High Magnifications Histopathology Image Dataset for Oral Squamous Cell Carcinoma Diagnosis and Prognosis
A High Magnifications Histopathology Image Dataset for Oral Squamous Cell Carcinoma Diagnosis and Prognosis
Jinquan Guan
Junhong Guo
Qi Chen
Jian Chen
Y. Cai
Yilin He
Z. Huang
Yan Wang
Yutong Xie
244
0
0
22 Jul 2025
Towards Accurate Phonetic Error Detection Through Phoneme Similarity Modeling
Towards Accurate Phonetic Error Detection Through Phoneme Similarity Modeling
Xuanru Zhou
Jiachen Lian
Cheol Jun Cho
Tejas S. Prabhune
Shuhe Li
...
Rian Bogley
Lisa Wauters
Zachary Miller
M. G. Tempini
Gopala Anumanchipalli
202
4
0
18 Jul 2025
Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning
Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning
Wooseong Jeong
Kuk-Jin Yoon
395
4
0
10 Jul 2025
MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation
MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation
Shen Yuan
Yin Zheng
Taifeng Wang
Binbin Liu
Hongteng Xu
MoMe
525
2
0
17 Jun 2025
Learning to Collaborate Over Graphs: A Selective Federated Multi-Task Learning Approach
Learning to Collaborate Over Graphs: A Selective Federated Multi-Task Learning Approach
Ahmed Elbakary
Chaouki Ben Issaid
Mehdi Bennis
FedML
326
0
0
11 Jun 2025
A Framework for Controllable Multi-objective Learning with Annealed Stein Variational Hypernetworks
A Framework for Controllable Multi-objective Learning with Annealed Stein Variational Hypernetworks
Minh-Duc Nguyen
Dung D. Le
363
0
0
07 Jun 2025
Multi-task Learning with Active Learning for Arabic Offensive Speech Detection
Multi-task Learning with Active Learning for Arabic Offensive Speech Detection
Aisha Alansari
Hamzah Luqman
273
2
0
03 Jun 2025
Multi-task Learning for Heterogeneous Multi-source Block-Wise Missing Data
Multi-task Learning for Heterogeneous Multi-source Block-Wise Missing Data
Yang Sui
Qi Xu
Y. Bai
Annie Qu
245
5
0
30 May 2025
One Rank at a Time: Cascading Error Dynamics in Sequential Learning
One Rank at a Time: Cascading Error Dynamics in Sequential Learning
Mahtab Alizadeh Vandchali
Fangshuo
Liao
Anastasios Kyrillidis
221
3
0
28 May 2025
ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation
ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation
Jian Liang
Wenke Huang
Xianda Guo
Guancheng Wan
Bo Du
Mang Ye
MoMeMoE
358
2
0
24 May 2025
HBO: Hierarchical Balancing Optimization for Fine-Tuning Large Language Models
HBO: Hierarchical Balancing Optimization for Fine-Tuning Large Language Models
Weixuan Wang
Minghao Wu
Barry Haddow
Alexandra Birch
612
2
0
18 May 2025
Scalable Multi-Task Learning for Particle Collision Event Reconstruction with Heterogeneous Graph Neural Networks
Scalable Multi-Task Learning for Particle Collision Event Reconstruction with Heterogeneous Graph Neural Networks
William Sutcliffe
Marta Calvi
Simone Capelli
Jonas Eschle
J. G. Pardiñas
Abhijit Mathad
Azusa Uzuki
N. Serra
395
3
0
30 Apr 2025
Dynamic Time-aware Continual User Representation Learning
Dynamic Time-aware Continual User Representation LearningAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Seungyoon Choi
Sein Kim
Hongseok Kang
Wonjoong Kim
Chanyoung Park
CLL
399
1
0
23 Apr 2025
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-TuningInternational Conference on Learning Representations (ICLR), 2025
Yeoreum Lee
Jinwook Jung
Sungyong Baik
MoMe
455
8
0
20 Apr 2025
CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval
CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based RetrievalAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Hao Deng
Haibo Xing
Kanefumi Matsuyama
Moyu Zhang
Jinxin Hu
Hong Wen
Yu Zhang
Xiaoyi Zeng
Jing-Xuan Zhang
352
4
0
17 Apr 2025
Data Fusion of Deep Learned Molecular Embeddings for Property Prediction
Data Fusion of Deep Learned Molecular Embeddings for Property PredictionJournal of Chemical Information and Modeling (JCIM), 2025
Robert Appleton
Brian C Barnes
Alejandro Strachan
FedMLAI4CE
311
1
0
09 Apr 2025
ModalTune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-task Learning in Digital Pathology
ModalTune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-task Learning in Digital Pathology
Vishwesh Ramanathan
Tony Xu
Pushpak Pati
Faruk Ahmed
Maged Goubran
Anne L. Martel
304
2
0
21 Mar 2025
SemanticFlow: A Self-Supervised Framework for Joint Scene Flow Prediction and Instance Segmentation in Dynamic Environments
SemanticFlow: A Self-Supervised Framework for Joint Scene Flow Prediction and Instance Segmentation in Dynamic Environments
Yinqi Chen
Meiying Zhang
Qi Hao
Guang Zhou
455
3
0
19 Mar 2025
Go Beyond Your Means: Unlearning with Per-Sample Gradient Orthogonalization
Go Beyond Your Means: Unlearning with Per-Sample Gradient Orthogonalization
Aviv Shamsian
E. Shaar
Aviv Navon
Gal Chechik
Ethan Fetaya
MU
359
3
0
04 Mar 2025
CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation
CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation
Zhenyi Shen
Hanqi Yan
Linhai Zhang
Zhanghao Hu
Yali Du
Yulan He
LRM
811
116
0
28 Feb 2025
M2-omni: Advancing Omni-MLLM for Comprehensive Modality Support with Competitive Performance
M2-omni: Advancing Omni-MLLM for Comprehensive Modality Support with Competitive Performance
Qingpei Guo
Kaiyou Song
Zipeng Feng
Ziping Ma
Qinglong Zhang
...
Yunxiao Sun
Tai-WeiChang
Jingdong Chen
Ming Yang
Jun Zhou
MLLMVLM
755
14
0
26 Feb 2025
Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks
Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks
Nikos A. Mitsiou
Pavlos S. Bouzinis
Panagiotis G. Sarigiannidis
G. Karagiannidis
176
0
0
17 Feb 2025
MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models
MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models
Zhen Zhang
Yue Yang
Kai Zhen
Nathan Susanj
Athanasios Mouchtaris
Siegfried Kunzmann
Zheng Zhang
506
3
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
636
2
0
08 Feb 2025
Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning
Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning
Richa Upadhyay
Ronald Phlypo
Rajkumar Saini
Marcus Liwicki
343
0
0
21 Jan 2025
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