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

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

  1. AURORA: Adaptive Unified Representation for Robust Ultrasound Analysis

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

  2. Understanding Task Aggregation for Generalizable Ultrasound Foundation Models

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

  3. MoE-ACT: Scaling Multi-Task Bimanual Manipulation with Sparse Task-Conditioned Mixture-of-Experts Transformers

    Mar 16, 2026Kangjun Guo, Haichao Liu, Yanji Sun +3Bimanual Robotic ManipulationVisuomotor Policy Learning

  4. Multi-Task Genetic Algorithm with Multi-Granularity Encoding for Protein-Nucleotide Binding Site Prediction

    Mar 16, 2026Yiming Gao, Liuyi Xu, Pengshan Cui +3Multi-Task LearningMulti-Scale Feature Fusion

  5. HMS-BERT: Hybrid Multi-Task Self-Training for Multilingual and Multi-Label Cyberbullying Detection

    Mar 13, 2026Zixin Feng, Xinying Cui, Yifan Sun +5Multi-Label ClassificationMulti-Task Learning

  6. A Multitask Large Reasoning Model for Molecular Science

    Mar 13, 2026Pengfei Liu, Shuang Ge, Xiaobo Wang +6Scientific ReasoningMulti-Task Learning

  7. Expert Pyramid Tuning: Efficient Parameter Fine-Tuning for Expertise-Driven Task Allocation

    Mar 13, 2026Jia-Chen Zhang, Zhen-Wei Yan, Yu-Jie Xiong +1Parameter-Efficient Fine-TuningLow-Rank Adaptation

  8. NeuroLoRA: Context-Aware Neuromodulation for Parameter-Efficient Multi-Task Adaptation

    Mar 12, 2026Yuxin Yang, Haoran Zhang, Mingxuan Li +6Parameter-Efficient Fine-TuningLow-Rank Adaptation

  9. Gaussian Process Regression-based Knowledge Distillation Framework for Simultaneous Prediction of Physical and Mechanical Properties of Epoxy Polymers

    Mar 12, 2026Sindu B. S., Jan HamaekersMaterials Property PredictionPolymer Property Prediction

  10. Multi-Task Anti-Causal Learning for Reconstructing Urban Events from Residents' Reports

    Mar 12, 2026Liangkai Zhou, Susu Xu, Shuqi Zhong +1Structural Causal ModelsMulti-Task Learning

  11. UniPINN: A Unified PINN Framework for Multi-task Learning of Diverse Navier-Stokes Equations

    Mar 11, 2026Dengdi Sun, Jie Chen, Xiao Wang +1Physics-Informed MLMulti-Task Learning

  12. No Image, No Problem: End-to-End Multi-Task Cardiac Analysis from Undersampled k-Space

    Mar 10, 2026Yundi Zhang, Sevgi Gokce Kafali, Niklas Bubeck +2Medical Image Representation LearningCardiac MRI

  13. A Unified Hierarchical Multi-Task Multi-Fidelity Framework for Data-Efficient Surrogate Modeling in Manufacturing

    Mar 10, 2026Manan Mehta, Zhiqiao Dong, Yuhang Yang +1Surrogate ModelingMultifidelity Modeling

  14. SurgFed: Language-guided Multi-Task Federated Learning for Surgical Video Understanding

    Mar 10, 2026Zheng Fang, Ziwei Niu, Ziyue Wang +5Surgical Video UnderstandingFederated Learning

  15. Multi-Kernel Gated Decoder Adapters for Robust Multi-Task Thyroid Ultrasound under Cross-Center Shift

    Mar 9, 2026Maziar Sabouri, Nourhan Bayasi, Arman RahmimThyroid Nodule DetectionUltrasound Image Segmentation

  16. Real-Time Monocular Scene Analysis for UAV in Outdoor Environments

    Mar 9, 2026Yara AlaaEldinMonocular Depth EstimationSynthetic-to-Real Domain Adaptation

  17. Efficient RGB-D Scene Understanding via Multi-task Adaptive Learning and Cross-dimensional Feature Guidance

    Mar 8, 2026Guodong Sun, Junjie Liu, Gaoyang Zhang +23D Scene UnderstandingSemantic Segmentation

  18. A Joint Neural Baseline for Concept, Assertion, and Relation Extraction from Clinical Text

    Mar 8, 2026Fei Cheng, Ribeka Tanaka, Sadao KurohashiClinical Information ExtractionRelation Extraction

  19. Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects

    Mar 5, 2026Ayed M. Alrashdi, Oussama Dhifallah, Houssem SifaouDouble DescentNeural Network Generalization

  20. Lightweight and Scalable Transfer Learning Framework for Load Disaggregation

    Mar 5, 2026L. E. Garcia-Marrero, G. Petrone, E. MonmassonNon-Intrusive Load MonitoringTransfer Learning

  21. TSEmbed: Unlocking Task Scaling in Universal Multimodal Embeddings

    Mar 5, 2026Yebo Wu, Feng Liu, Ziwei Xie +4Multimodal EmbeddingMultimodal Disentangled Representation Learning

  22. A Unified Framework for Joint Detection of Lacunes and Enlarged Perivascular Spaces

    Mar 4, 2026Lucas He, Krinos Li, Hanyuan Zhang +7NeuroimagingBrain MRI

  23. Crab+^{+}: A Scalable and Unified Audio-Visual Scene Understanding Model with Explicit Cooperation

    Mar 4, 2026Dongnuan Cai, Henghui Du, Chang Zhou +5Audio-Visual UnderstandingUnified Multimodal Models

  24. CLIP-Guided Multi-Task Regression for Multi-View Plant Phenotyping

    Mar 4, 2026Simon Warmers, Muhammad Zawish, Fayaz Ali Dharejo +2Plant PhenotypingMulti-View Learning

  25. BD-Merging: Bias-Aware Dynamic Model Merging with Evidence-Guided Contrastive Learning

    Mar 4, 2026Yuhan Xie, Chen LyuModel MergingDistribution Shift Robustness

  26. Trade-offs in Ensembling, Merging and Routing Among Parameter-Efficient Experts

    Mar 3, 2026Sanae Lotfi, Lucas Caccia, Alessandro Sordoni +2Language Model EnsemblesLanguage Model Merging

  27. Directional Neural Collapse Explains Few-Shot Transfer in Self-Supervised Learning

    Mar 3, 2026Achleshwar Luthra, Yash Salunkhe, Tomer GalantiNeural CollapseTransfer Learning

  28. NeuroProlog: Multi-Task Fine-Tuning for Neurosymbolic Mathematical Reasoning via the Cocktail Effect

    Mar 3, 2026Pratibha Zunjare, Michael HsiaoLLM Mathematical ReasoningNeuro-Symbolic Reasoning