← Learning Paradigms
Machine Learning › Learning Paradigms ›

Multi-Task Learning

519 directly classified papers

Papers per year

Papers

Learning Streaming Video Representation via Multitask Training ICCV 2025
Mixture of Experts Based Multi-Task Supervise Learning from Crowds AAAI 2025
CFDM: Contrastive Fusion and Disambiguation for Multi-View Partial-Label Learning AAAI 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
An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding AAAI 2025
Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models NAACL 2025
Diffusion-Based Visual Anagram as Multi-Task Learning WACV 2025
Identifying Aggression and Offensive Language in Code-Mixed Tweets: A Multi-Task Transfer Learning Approach COLING 2025
HGMP: Heterogeneous Graph Multi-Task Prompt Learning IJCAI 2025
SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local Perturbation ICCV 2025
SabiYarn: Advancing Low Resource Languages with Multitask NLP Pretraining ACL 2025
Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation AAAI 2025
Cross-Task Affinity Learning for Multitask Dense Scene Predictions WACV 2025
Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness JMLR 2025
Supervised Learning with Evolving Tasks and Performance Guarantees JMLR 2025
CSAHFL:Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networks IJCAI 2025
Identifying and Reusing Learnwares Across Different Label Spaces IJCAI 2025
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks WACV 2025
Argus: A Compact and Versatile Foundation Model for Vision CVPR 2025
Revealing the impact of synthetic native samples and multi-tasking strategies in Hindi-English code-mixed humour and sarcasm detection EMNLP 2025
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization ICCV 2025
Rep-MTL: Unleashing the Power of Representation-level Task Saliency for Multi-Task Learning ICCV 2025
MSA2: Multi-task Framework with Structure-aware and Style-adaptive Character Representation for Open-set Chinese Text Recognition ICCV 2025
LLM-Based Dialogue Labeling for Multiturn Adaptive RAG EMNLP 2025