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Multi-Task Learning

519 directly classified papers

Papers per year

Papers

APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport EMNLP 2025
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks WACV 2025
A Unified Framework for Human-Allied Learning of Probabilistic Circuits AAAI 2025
CoPL: Collaborative Preference Learning for Personalizing LLMs EMNLP 2025
Exploring Compositional Generalization of Multimodal LLMs for Medical Imaging ACL 2025
Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models NAACL 2025
Exploiting Conjugate Label Information for Multi-Instance Partial-Label Learning IJCAI 2024
Multi-Task Dense Prediction via Mixture of Low-Rank Experts CVPR 2024
All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract) IJCAI 2024
Task-Driven Exploration: Decoupling and Inter-Task Feedback for Joint Moment Retrieval and Highlight Detection CVPR 2024
Multi-Level Symbolic Regression: Function Structure Learning for Multi-Level Data AISTATS 2024
Multi-Domain Recommendation to Attract Users via Domain Preference Modeling AAAI 2024
QueST: Self-Supervised Skill Abstractions for Learning Continuous Control NIPS 2024
Understanding Inverse Scaling and Emergence in Multitask Representation Learning AISTATS 2024
Compositional Structured Explanation Generation with Dynamic Modularized Reasoning NAACL 2024
Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis AAAI 2024
MultiLS: An End-to-End Lexical Simplification Framework EMNLP 2024
Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement Learning NIPS 2024
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment WACV 2024
Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond ACL 2024
MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task Learning EMNLP 2024
PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning ACL 2024
Teaching Small Language Models to Reason for Knowledge-Intensive Multi-Hop Question Answering ACL 2024
Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms NIPS 2024
Offline Multitask Representation Learning for Reinforcement Learning NIPS 2024