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Multi-Task Learning

519 directly classified papers

Papers per year

Papers

From Cognitive Priors to Instance Semantics: A Unified Framework for Multi-task Affective Computing WACV 2026
Generalizable and Efficient Automated Scoring with a Knowledge-Distilled Multi-Task Mixture-of-Experts AAAI 2026
MAFM3: Modular Adaptation of Foundation Models for Multi-Modal Medical AI WACV 2026
MSA2: Multi-task Framework with Structure-aware and Style-adaptive Character Representation for Open-set Chinese Text Recognition ICCV 2025
LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition ICCV 2025
SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local Perturbation ICCV 2025
CSAHFL:Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networks IJCAI 2025
MoDE: Effective Multi-task Parameter Efficient Fine-Tuning with a Mixture of Dyadic Experts NAACL 2025
Where and When: Predict Next POI and Its Explicit Timestamp in Sequential Recommendation IJCAI 2025
Distilling A Universal Expert from Clustered Federated Learning IJCAI 2025
Unified Automated Essay Scoring and Grammatical Error Correction NAACL 2025
Diffusion-Based Visual Anagram as Multi-Task Learning WACV 2025
Intra-view and Inter-view Correlation Guided Multi-view Novel Class Discovery ICCV 2025
Identifying Aggression and Offensive Language in Code-Mixed Tweets: A Multi-Task Transfer Learning Approach COLING 2025
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks WACV 2025
Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models NAACL 2025
MIDAS: Multi-level Intent, Domain, And Slot Knowledge Distillation for Multi-turn NLU NAACL 2025
SabiYarn: Advancing Low Resource Languages with Multitask NLP Pretraining ACL 2025
Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness JMLR 2025
Cross-Task Affinity Learning for Multitask Dense Scene Predictions WACV 2025
Supervised Learning with Evolving Tasks and Performance Guarantees JMLR 2025
Argus: A Compact and Versatile Foundation Model for Vision CVPR 2025
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization ICCV 2025
HGMP: Heterogeneous Graph Multi-Task Prompt Learning IJCAI 2025
Identifying and Reusing Learnwares Across Different Label Spaces IJCAI 2025