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

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

  1. MAC: A Conversion Rate Prediction Benchmark Featuring Labels Under Multiple Attribution Mechanisms

    Mar 2, 2026Jinqi Wu, Sishuo Chen, Zhangming Chan +9Conversion Rate PredictionMulti-Task Learning

    School of Intelligence Science and Technology, Nanjing University, Suzhou, China · Taobao & Tmall Group of Alibaba, Beijing, China

  2. An Analysis of Multi-Task Architectures for the Hierarchic Multi-Label Problem of Vehicle Model and Make Classification

    Mar 2, 2026Alexandru Manole, Laura DiosanMulti-Task LearningMulti-Label Classification

    Department of Computer Science, Babeș-Bolyai University, Cluj-Napoca, Romania

  3. Scalable Multi-Task Low-Rank Model Adaptation

    Mar 2, 2026Zichen Tian, Antoine Ledent, Qianru SunLow-Rank AdaptationMulti-Task Learning

    Singapore Management University

  4. Adaptive Bidirectional Task Interaction for Joint Segmentation and Classification of Breast Ultrasound

    Mar 1, 2026Abdullah Al Shafi, Md Kawsar Mahmud Khan Zunayed, Safin Ahmmed +2Ultrasound Image SegmentationImage Segmentation

    Khulna University of Engineering and Technology, Bangladesh · University Clermont Auvergne, France

  5. Machine Learning Grade Prediction Using Students' Grades and Demographics

    Feb 28, 2026Mwayi Sonkhanani, Symon Chibaya, Clement N. NyirendaEducational Data MiningEducational Assessment

    Malawi University of Science and Technology, P.O.Box 5196, Limbe, Malawi

  6. TAP-SLF: Parameter-Efficient Adaptation of Vision Foundation Models for Multi-Task Ultrasound Image Analysis

    Feb 28, 2026Hui Wan, Libin LanVision Foundation Model AdaptationMedical Image Analysis

    College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China

  7. Multidimensional Task Learning: A Unified Tensor Framework for Computer Vision Tasks

    Feb 26, 2026Alaa El Ichi, Khalide JbilouMulti-Task Learning

    Université du Littoral Cote d’Opale, LMPA, 50 rue F. Buisson, 62228 Calais-Cedex, France.

  8. UniWhisper: Efficient Continual Multi-task Training for Robust Universal Audio Representation

    Feb 25, 2026Yuxuan Chen, Peize He, Haoyuan Yu +1Audio Representation LearningAudio Understanding

    Jilin University · University of Electronic Science and Technology of China · Hunan University +1

  9. Wireless Federated Multi-Task LLM Fine-Tuning via Sparse-and-Orthogonal LoRA

    Feb 24, 2026Nuocheng Yang, Sihua Wang, Ouwen Huan +3Federated Fine-TuningFederated Learning

    Beijing Laboratory of Advanced Information Network, and the Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing 100876, China · Department of Electrical and Computer Engineering and Institute for Data Science and Computing, University of Miami, Coral Gables, FL, 33146 USA · Information Systems Technology and Design Pillar, Singapore University of Technology and Design, 487372, Singapore

  10. Uncertainty-Aware Delivery Delay Duration Prediction via Multi-Task Deep Learning

    Feb 23, 2026Stefan Faulkner, Reza Zandehshahvar, Vahid Eghbal Akhlaghi +3Supply Chain ManagementMulti-Task Learning

    NSF Artificial Intelligence Institute for Advances in Optimization, H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA · Kinaxis

  11. Ensemble Prediction of Task Affinity for Efficient Multi-Task Learning

    Feb 20, 2026Afiya Ayman, Ayan Mukhopadhyay, Aron LaszkaMulti-Task LearningTask Transferability Estimation

    Pennsylvania State University · College of William & Mary

  12. The Geometry of Multi-Task Grokking: Transverse Instability, Superposition, and Weight Decay Phase Structure

    Feb 19, 2026Yongzhong XuGrokkingNeural Network Training Dynamics

  13. On the Power of Source Screening for Learning Shared Feature Extractors

    Feb 18, 2026Leo Muxing Wang, Connor Mclaughlin, Lili SuShared Representation LearningRepresentation Learning

    Northeastern University

  14. UrbanVerse: Learning Urban Region Representation Across Cities and Tasks

    Feb 17, 2026Fengze Sun, Egemen Tanin, Shanika Karunasekera +3Urban Representation LearningGeospatial Representation Learning

    School of Computing and Information System, University of Melbourne, Melbourne, Australia · School of Computer Science and Engineering, University of New South Wales, Sydney, Australia

  15. DeepMTL2R: A Library for Deep Multi-task Learning to Rank

    Feb 16, 2026Chaosheng Dong, Peiyao Xiao, Yijia Wang +1Learning to RankMulti-Task Learning

    Amazon USA

  16. MultiGraspNet: A Multitask 3D Vision Model for Multi-gripper Robotic Grasping

    Feb 6, 2026Stephany Ortuno-Chanelo, Paolo Rabino, Enrico Civitelli +2Robotic GraspingMulti-Task Learning

    VANDAL Laboratory, Department of Control and Computer Engineering, Politecnico di Torino, Turin, Italy. · Comau S.p.A., Advanced Automation Solutions, Grugliasco, Italy. · Istituto Italiano di Tecnologia, Genoa, Italy.

  17. Multi-Task Learning for Metal Alloy Property Prediction: An Empirical Study of Negative Transfer and Mitigation Strategies

    Dec 28, 2025Sungwoo KangMulti-Task LearningMaterials Property Prediction

    Department of Electrical and Computer Engineering, Korea University, Seoul 02841, Republic of Korea

  18. Efficiently Learning Branching Networks for Multitask Algorithmic Reasoning

    Nov 30, 2025Dongyue Li, Zhenshuo Zhang, Minxuan Duan +2Neural Algorithmic ReasoningMulti-Task Learning

    †Northeastern University, Boston, Massachusetts · ‡University of Pennsylvania, Philadelphia, Pennsylvania

  19. HENet++: Hybrid Encoding and Multi-task Learning for 3D Perception and End-to-end Autonomous Driving

    Nov 10, 2025Zhongyu Xia, Zhiwei Lin, Yongtao Wang +1Autonomous Driving PerceptionEnd-to-End Autonomous Driving

    Wangxuan Institute of Computer Technology, Peking University, Beijing, China. · University of California, Merced, USA.

  20. Multi-task Neural Diffusion Processes

    Oct 3, 2025Joseph Rawson, Domniki Ladopoulou, Petros DellaportasDiffusion ModelsMulti-Task Learning

    Department of Statistical Science, University College London, Gower Street, London, WC1E 6BT, United Kingdom. · Department of Statistics, Athens University of Economics and Business, Patission 76, Athens, 104 34, Greece.

  21. Graph Coloring for Multi-Task Learning

    Sep 21, 2025Santosh Patapati, Ian NoronhaGradient InterferenceMulti-Task Learning

    Stony Brook University AI Innovation Institute, Stony Brook, NY 11794, USA · Purdue University, West Lafayette, IN 47907, USA

  22. Energy Injection Identification enabled Disaggregation with Deep Multi-Task Learning

    Aug 20, 2025Xudong Wang, Guoming Tang, Junyu Xue +3Non-Intrusive Load MonitoringMulti-Task Learning

    The Chinese University of Hong Kong, Shenzhen · The Hong Kong University of Science and Technology (Guangzhou) · Southern University of Science and Technology +1

  23. From Isolation to Alignment: Unified LoRA for Efficient Multi-Task Learning

    Aug 7, 2025Jinda Liu, Yi Chang, Yuan WuMulti-Task LearningLow-Rank Adaptation

    School of Artificial Intelligence, Jilin University · 2Southern University of Science and Technology · 3International Center of Future Science, Jilin University +1

  24. Calibrating Biophysical Models for Grape Phenology Prediction via Multi-Task Learning

    Aug 5, 2025William Solow, Sandhya SaisubramanianMulti-Task LearningModel Calibration

    Oregon State University

  25. Learning Task Mixtures from Task Affinities: A Probabilistic Graphical Model for Supervised Fine-Tuning

    Jul 16, 2025Prateek Chanda, Saral Sureka, Parth Pratim Chatterjee +3Supervised Fine-TuningMulti-Task Learning

    IIT Bombay · IBM Research · Red Hat AI Innovation +1

  26. Macro Graph of Experts for Billion-Scale Multi-Task Recommendation

    Jun 12, 2025Hongyu Yao, Zijin Hong, Hao Chen +6Graph Representation LearningMulti-Task Learning

    The Hong Kong Polytechnic University Hong Kong SAR, China · National University of Defense Technology Changsha, China · Beihang University Beijing, China

  27. Q-SiT: Teaching LMMs for Image Quality Scoring and Interpreting

    Mar 12, 2025Zicheng Zhang, Haoning Wu, Ziheng Jia +2Unified Multimodal ModelsMulti-Task Learning

    Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, China · S-Lab, Nanyang Technological University, Singapore · School of Computer Science and Engineering, Nanyang Technological University, Singapore

  28. Hierarchical Sparse Bayesian Multitask Learning for Disease Prediction in Pooled Microbiome Studies

    Feb 4, 2025Haonan Zhu, Andre R. Goncalves, Camilo Valdes +10Clinical Outcome PredictionMulti-Task Learning

    Lawrence Livermore National Laboratory · Electrical and Computer Engineering, University of Michigan

  29. Variational Model Merging for Pareto Front Estimation in Multitask Finetuning

    Dec 11, 2024Hugo Monzón Maldonado, Nico Daheim, Thomas Möllenhoff +2Bayesian InferenceMulti-Task Learning

    RIKEN Center for AI Project, Japan · Ubiquitous Knowledge Processing Lab (UKP Lab), Department of Computer Science, Technical University of Darmstadt and National Research Center for Applied Cybersecurity ATHENE, Germany · National Research Center for Applied Cybersecurity ATHENE, Germany

  30. Scale-specific auxiliary multi-task contrastive learning for deep liver vessel segmentation

    Sep 18, 2024Amine Sadikine, Bogdan Badic, Jean-Pierre Tasu +4Medical Image Segmentation3D Medical Image Segmentation

    LaTIM UMR 1101, Inserm, Brest, France · University of Western Brittany, Brest, France · University Hospital of Brest, Brest, France +3