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

392 papers51 papers in the last four weeks, up 19% on the four weeks before. 0.3% of all new papers.

  1. Unified Prediction and Planning via Conflict-Aware Disjoint Parameter Training

    Jul 22, 2026Taewon Seo, Seonae Jeon, Giwon Lee +2Multi-Agent Trajectory PredictionMulti-Task Learning

  2. UMCP: A Unified Multi-Task Collaborative Perception Network for Luggage Trolley Pose Estimation

    Jul 20, 2026Zhirui Sun, Zhihao Jiang, Yao Wang +2Object Pose EstimationMulti-Task Learning

  3. LaT: LLM-as-Trainer for Multi-Task Vehicle Routing Solvers

    Jul 20, 2026Yang Wang, Ya-Hui Jia, Wei-Neng Chen +3Large Language Model-Guided OptimizationMulti-Task Learning

  4. FlexiGrad: Adaptive Gradient Modulation for Hierarchical Fine-Grained Classification

    Jul 20, 2026Zilu Zhou, Dongliang Chang, Junhan Chen +1Hierarchical ClassificationGradient Interference

  5. Physics-Guided Masked Multi-Task Network for Edge-Friendly Battery Health Diagnostics from Sto-chastically Fragmented Charging Profiles

    Jul 19, 2026Shuhao Chen, Tianyu Shi, Chengyi TuRUL EstimationTransformer

  6. Dynamic Loss Balancing for Joint SOH and RUL Prediction of Lithium-Ion Batteries via a Rotary SOH-Injected Prior Battery Transformer

    Jul 19, 2026Shuhao Chen, Tianyu Shi, Yiwen Huang +1RUL EstimationPredictive Maintenance

  7. Cascading versus Joint Modeling for Hierarchical Offensive Language Detection

    Jul 18, 2026Ruixing Ren, Junhui Zhao, Xiaoke SunMulti-Task LearningHate Speech Detection

  8. AffectFuse: Cross-Task Feature Fusion with Temporal Modeling for Multi-Task Affective Behavior Analysis

    Jul 17, 2026Dipit Saha, Mohammad Raihan Rashid, Shah Mohammad Abdul Mannan +2Multi-Task LearningFacial Action Unit Detection

  9. Leakage-Robust Evaluation and Data-Scale Sensitivity of Attention-Enhanced Multi-Task Learning for Joint Fault Diagnosis and Remaining Useful Life Estimation

    Jul 17, 2026Md Mahamudur Rahaman Shamim, Md. Nuruzzaman, Zannatul Ferdus +5Data LeakageRUL Estimation

  10. DPNeXt: A Lightweight Multi-Scale Feature Fusion Framework for Efficient ViT-Based Multi-Task Dense Prediction

    Jul 17, 2026Jehun Kang, Jungha Wang, Youngjun Hwang +1Multi-Task LearningMulti-Scale Feature Fusion

  11. CardioMeta: Calibrated Multi-Task Prediction of Diabetes, Hypertension, and Cardiovascular Disease Across Population and EHR Data

    Jul 17, 2026S M Asif Hossain, Ruksat Khan Shayoni, M. F. Mridha +1Multi-Task LearningModel Calibration

  12. MxGPS: Multiplex Graph Transformers for a Power Grid Foundation Model

    Jul 15, 2026Charilaos Papaioannou, Ioannis Tsantilas, Dimitris Giannakakos +9Multi-Task LearningGraph Foundation Models

  13. AffectFlow-DINO: Uncertainty-Aware Multi-Task Affect Estimation via Conditional Rectified Flow

    Jul 14, 2026Salah Eddine Bekhouche, Abdellah Zakaria Sellam, Fadi Dornaika +1Multi-Task LearningFacial Action Unit Detection

  14. HSEmotion Team at the 11th ABAW Challenge: Multi-Task Learning and Ambivalence/Hesitancy Video Recognition

    Jul 14, 2026Aleksei Bakin, Andrey V. SavchenkoMulti-Task LearningMultimodal Emotion Recognition

  15. BiLoG-Net: A Bi-Context Location-Guided Network for Breast Mass Segmentation and Malignancy Classification in Mammography

    Jul 11, 2026Abu Fatema Mohammad Abdun Noor, Md Imam Ahasan, Md Samiul Ahasan +3Multi-Task LearningMedical Image Classification

  16. EMBRACE: A Multi-task Framework for Comprehensive Quality Assessment in Cleavage-stage Embryo

    Jul 11, 2026Anwar Hussain Sofi, Jung-Hua Wang, Ming-Jer Chen +4Multi-Task LearningMicroscopy Image Analysis

  17. Efficiently Adapting Spoken Language Models for the Singaporean Context

    Jul 11, 2026Ng Jia Sheng JasonSpoken Language UnderstandingMulti-Task Learning

  18. Co-Adaptive Multi-Task LoRA: Transfer-Aware, Label-Free Control of Domain Participation

    Jul 3, 2026Wei Zhang, Lin Tang, Ming Zhao +1Multi-Task LearningData Selection

  19. SNR-Adaptive Unified Diffusion for Multi-Task Medical Image Segmentation

    Jul 3, 2026Jiahao Liu, Hang Wei, Shuai WuUnsupervised Domain AdaptationDomain Generalization

  20. Jointly Improving Dialect Identification and ASR in Indian Languages using Multimodal Feature Fusion

    Jul 3, 2026Saurabh Kumar, Amartyaveer, Prasanta Kumar GhoshMulti-Task LearningMultimodal Fusion

  21. Contaminated Multi-task Learning with Heterogeneity: Fundamental Limits and Optimal Algorithms

    Jul 2, 2026Ye Tian, Mengchu Li, Marco Avella MedinaMulti-Task LearningMinimax Estimation

  22. Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis

    Jul 2, 2026Yisong Fu, Zezhi Shao, Chengqing Yu +4Zero-Shot Time Series ForecastingMulti-Task Learning

  23. NeuroBridge: Bridging Multi-Task MRI Knowledge for Neurodegenerative Disease Diagnosis

    Jul 1, 2026Mengyu Li, Guoyao Shen, Chad W. Farris +1Alzheimer's DiseaseMedical Diagnosis

  24. Deep Multitask Learning for Mixed-Type Outcomes with Shared Sparsity

    Jul 1, 2026Huichao Li, Tong Wang, Sanguo Zhang +1Multi-Task LearningStructured Sparsity

  25. A Multi-task Mixture of Experts Framework for Malware Classification, Packing Detection, and Family Attribution

    Jun 29, 2026Jithin S., Roshin Sleeba C., Anvin Mariya P. B. +4Multi-Task LearningMalware Classification