Multi-Task Learning

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Overview

Multi-task learning studies how one model can learn several related predictions at once, using shared information to improve accuracy, data efficiency, or deployment cost. Common designs combine a shared encoder with task-specific heads, adapters, or routed experts; other methods balance losses, adjust conflicting gradients, or group tasks by affinity. Applications range from dense vision benchmarks such as NYUv2 and Cityscapes to language, medical prediction, recommendation, and scientific modeling. The central tension is positive versus negative transfer: sharing can help when tasks have useful common structure, but differences in data, objectives, or capacity can cause gains for some tasks and losses for others.

Latest papers

CardsList

389 papers50 papers in the last four weeks, up 16% on the four weeks before. 0.3% of all new papers.

  1. Cognitive-Causal Multi-Task Learning with Psychological State Conditioning for Assistive Driving Perception

    Apr 8, 2026Keito Inoshita, Nobuhiro Hayashida, Akira ImanishiMulti-Task LearningAutonomous Driving Perception

    Kansai University, 3-3-35, Yamatecho, Suita, Osaka, Japan 564-8680 · ISUZU Advanced Engineering Center, Ltd., 8, Tsuchidana, Fujisawa City, Kanagawa, Japan 252-0881

  2. Joint Interference Detection and Identification via Adversarial Multi-task Learning

    Apr 8, 2026H. Xu, L. Hu, B. He +1Automatic Modulation ClassificationMulti-Task Learning

    College of Electronic Science and Technology, National University of Defense Technology, Changsha 410003, P. R. China

  3. A Parameter-Efficient Transfer Learning Approach through Multitask Prompt Distillation and Decomposition for Clinical NLP

    Apr 8, 2026Cheng Peng, Mengxian Lyu, Ziyi Chen +1Parameter-Efficient Fine-TuningTransfer Learning

    Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA · Cancer Informatics Shared Resource, University of Florida Health Cancer Center, Gainesville, Florida, USA

  4. When Does Context Help? A Systematic Study of Target-Conditional Molecular Property Prediction

    Apr 8, 2026Bryan Cheng, Jasper ZhangMolecular Property PredictionMolecular Representation Learning

    Great Neck South High School

  5. A Family of Open Time-Series Foundation Models for the Radio Access Network

    Apr 5, 2026Ioannis Panitsas, Leandros TassiulasWireless Foundation ModelsTime-Series Foundation Models

    Department of Electrical and Computer Engineering, Yale University

  6. Task-Guided Multi-Annotation Triplet Learning for Remote Sensing Representations

    Apr 4, 2026Meilun Zhou, Alina ZareRepresentation LearningMulti-Task Learning

    Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA, 32611 · Artificial Intelligence and Informatics Research Institute, University of Florida, Gainesville, FL, USA, 32611

  7. HyperCT: Low-Rank Hypernet for Unified Chest CT Analysis

    Apr 3, 2026Fengbei Liu, Sunwoo Kwak, Hao Phung +6Multi-Task LearningHypernetworks

    Cornell Tech and Cornell University · Columbia University Irving Medical Center · Weill Cornell Medicine

  8. Task-Guided Prompting for Unified Remote Sensing Image Restoration

    Apr 3, 2026Wenli Huang, Yang Wu, Xiaomeng Xin +3All-in-One Image RestorationRemote Sensing

    School of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, Zhejiang 315211, China · Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, China · University of Exeter, Exeter EX4 4PY, UK +1

  9. MTLSI-Net: A Linear Semantic Interaction Network for Parameter-Efficient Multi-Task Dense Prediction

    Apr 2, 2026Chen Liu, Hengyu Man, Xiaopeng Fan +1Multi-Task LearningCross-Attention

    Harbin Institute of Technology · Peng Cheng Laboratory · Harbin Institute of Technology SuZhou Research Institute

  10. Generalization Bounds and Statistical Guarantees for Multi-Task and Multiple Operator Learning with MNO Networks

    Apr 2, 2026Adrien Weihs, Hayden SchaefferOperator LearningGeneralization Bounds

    Department of Mathematics, University of California Los Angeles, Los Angeles, CA 90095, USA.

  11. FourierMoE: Fourier Mixture-of-Experts Adaptation of Large Language Models

    Apr 2, 2026Juyong Jiang, Fan Wang, Hong Qi +2LLM Fine-TuningParameter-Efficient Fine-Tuning

    The Hong Kong University of Science and Technology (Guangzhou) · The Hong Kong University of Science and Technology

  12. Model Merging via Data-Free Covariance Estimation

    Apr 1, 2026Marawan Gamal Abdel Hameed, Derek Tam, Pascal Jr Tikeng Notsawo +2Multi-Task LearningLanguage Model Merging

    Mila & DIRO, Universit´e de Montr´eal · University of Toronto & Vector Institute

  13. TP-Seg: Task-Prototype Framework for Unified Medical Lesion Segmentation

    Apr 1, 2026Jiawei Xu, Qiangqiang Zhou, Dandan Zhu +3Medical Image SegmentationMulti-Task Learning

    School of Artificial Intelligence, Jiangxi Normal University · East China Normal University · Yale University

  14. RepUCB: Representation Learning-Based UCB for Heterogeneous Multi-Task Linear Bandits

    Apr 1, 2026Jiabin Lin, Shana MoothedathMulti-Armed BanditsMulti-Task Learning

    Department of Electrical and Computer Engineering, Iowa State University, USA

  15. M2H-MX: Multi-Task Semantic and Geometric Perception for Real-Time Monocular 3D Scene Graph Construction

    Mar 31, 2026U. V. B. L. Udugama, George Vosselman, Francesco NexRobotic PerceptionMulti-Task Learning

    Department of Earth Observation Science, University of Twente, Enschede, 7522 NH, The Netherlands

  16. Joint Learning Global-Local Speaker Classification to Enhance End-to-End Speaker Diarization and Recognition

    Mar 26, 2026Yuhang Dai, Haopeng Lin, Jiale Qian +9Speaker DiarizationAutomatic Speech Recognition

    Soul AI Lab, China · X-LANCE Lab, Shanghai Jiao Tong University, China

  17. The role of spatial context and multitask learning in the detection of organic and conventional farming systems based on Sentinel-2 time series

    Mar 25, 2026Jan Hemmerling, Marcel Schwieder, Philippe Rufin +4Spatial Context ModelingAgricultural Remote Sensing

    Thünen Earth Observation (ThEO), Thünen Institute of Farm Economics, Braunschweig, Germany. · Earth Observation Lab, Geography Department, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany. · Earth and Life Institute, UCLouvain, 1348 Louvain-la-Neuve, Belgium. +2

  18. Semantic Alignment across Ancient Egyptian Language Stages via Normalization-Aware Multitask Learning

    Mar 25, 2026He HuangSemantic AlignmentCross-Lingual Representation Alignment

    Institut für Ägyptologie und Koptologie, Ludwig-Maximilians-Universität München, Katharina-von-Bora-Straße 10, 80333 München, Germany

  19. PolarAPP: Beyond Polarization Demosaicking for Polarimetric Applications

    Mar 24, 2026Yidong Luo, Chenggong Li, Yunfeng Song +4Multi-Task LearningPolarimetric Imaging

    Zhejiang University, Hangzhou, China · School of Automation, Central South University, Changsha, China · School of Engineering, Westlake University, Hangzhou, China +1

  20. Multitask-Informed Prior for In-Context Learning on Tabular Data: Application to Steel Property Prediction

    Mar 24, 2026Dimitrios Sinodinos, Bahareh Nikpour, Jack Yi Wei +5Multi-Task LearningTabular Foundation Models

    Dep. of Electrical and Computer Engineering, McGill University · Mila – Québec AI Institute · Dep. of Mining and Materials Engineering, McGill University +1

  21. mSFT: Addressing Dataset Mixtures Overfitting Heterogeneously in Multi-task SFT

    Mar 23, 2026Woosung Koh, Jeyoung Jeon, Youngjin Song +4LLM Fine-TuningSupervised Fine-Tuning

    KAIST AI · Yonsei University · Samsung Advanced Institute of Technology

  22. Frequency Switching Mechanism for Parameter-E!cient Multi-Task Learning

    Mar 22, 2026Shih-Wen Liu, Yen-Chang Chen, Wei-Ta Chu +2Multi-Task LearningParameter-Efficient Fine-Tuning

    National Cheng Kung University, Tainan, Taiwan · NVIDIA Research, Taiwan

  23. Representation-Level Adversarial Regularization for Clinically Aligned Multitask Thyroid Ultrasound Assessment

    Mar 22, 2026Dina Salama, Mohamed Mahmoud, Nourhan Bayasi +2Multi-Task LearningClinical Risk Prediction

    University of British Columbia, Vancouver, Canada · University of Calgary, Calgary, Canada

  24. Mamba Learns in Context: Structure-Aware Domain Generalization for Multi-Task Point Cloud Understanding

    Mar 21, 2026Jincen Jiang, Qianyu Zhou, Yuhang Li +5Point Cloud DenoisingPoint Cloud Learning

    Bournemouth University · Jilin University · The University of Western Australia +2

  25. FAAR: Efficient Frequency-Aware Multi-Task Fine-Tuning via Automatic Rank Selection

    Mar 20, 2026Maxime Fontana, Michael Spratling, Miaojing ShiNonlinear LoRAParameter-Efficient Fine-Tuning

    King’s College London London, UK · University of Luxembourg Esch-sur-Alzette, Luxembourg · Tongji University Shanghai, China

  26. End-to-End Multi-Task Learning for Adjustable Joint Noise Reduction and Hearing Loss Compensation

    Mar 20, 2026Philippe Gonzalez, Vera Margrethe Frederiksen, Torsten Dau +1Speech EnhancementMulti-Task Learning

    The authors are with the Department of Health Technology, Technical University of Denmark, 2800 Lyngby, Denmark.

  27. A Multi-Task Targeted Learning Framework for Lithium-Ion Battery State-of-Health and Remaining Useful Life

    Mar 20, 2026Chenhan Wang, Zhengyi Bao, Huipin Lin +2RUL EstimationLithium-Ion Batteries

    School of Electronics and Information Engineering, Hangzhou Dianzi University, Hangzhou 310018, China · School of Information Technology and Artificial Intelligence, Zhejiang University of Finance and Economics, Hangzhou 310018, China · Engineering Training Center, China Jiliang University, Hangzhou 310018, China

  28. UniBioTransfer: A Unified Framework for Multiple Biometrics Transfer

    Mar 20, 2026Caiyi Sun, Yujing Sun, Xiangyu Li +5Image EditingMulti-Task Learning

    The University of Hong Kong · Digital Trust Centre, Nanyang Technological University · ShanghaiTech University

  29. AURORA: Adaptive Unified Representation for Robust Ultrasound Analysis

    Mar 19, 2026Ufaq Khan, L. D. M. S. Sai Teja, Ayuba Shakiru +4Medical Image AnalysisUltrasound Imaging

    MBZUAI, Abu Dhabi, UAE · NIT Silchar, India · Birmingham City University, UK

  30. Understanding Task Aggregation for Generalizable Ultrasound Foundation Models

    Mar 18, 2026Fangyijie Wang, Tanya Akumu, Vien Ngoc Dang +5Medical Imaging Foundation ModelsMulti-Task Learning

    Research Ireland Centre for Research Training in Machine Learning · School of Medicine, University College Dublin, Dublin, Ireland · Departament de Matemàtiques i Informàtica, Universitat de Barcelona, Barcelona, Spain +4