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Multi-Task Learning
955 directly classified papers
Papers per year
2006: 1
2008: 1
2009: 1
2011: 1
2013: 1
2014: 5
2015: 10
2016: 16
2017: 38
2018: 57
2019: 125
2020: 161
2021: 121
2022: 122
2023: 112
2024: 93
2025: 90
Papers
Z-Magic: Zero-shot Multiple Attributes Guided Image Creator
CVPR 2025
SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention
ACL 2025
Fusing Highly Specialized Language Models for Comprehensive Expertise
ACL 2025
Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation
AAAI 2025
MTVHunter: Smart Contracts Vulnerability Detection Based on Multi-Teacher Knowledge Translation
AAAI 2025
Both Supply and Precision: Sample Debias and Ranking Consistency Joint Learning for Large Scale Pre-Ranking System
AAAI 2025
Multi-task Visual Grounding with Coarse-to-Fine Consistency Constraints
AAAI 2025
Dynamic Multi-Interest Graph Neural Network for Session-Based Recommendation
AAAI 2025
Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential Recommendation
AAAI 2025
Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning
EMNLP 2025
Subjective Behaviors and Preferences in LLM: Language of Browsing
EMNLP 2025
M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous Driving
AAAI 2025
Leveraging the Dual Capabilities of LLM: LLM-Enhanced Text Mapping Model for Personality Detection
AAAI 2025
Multi-Task Pre-Finetuning of Lightweight Transformer Encoders for Text Classification and NER
EMNLP 2025
R-LoRA: Randomized Multi-Head LoRA for Efficient Multi-task Learning
EMNLP 2025
Remote Sensing for Water Quality: A Multi-Task, Metadata-Driven Hypernetwork Approach
IJCAI 2024
Improving Speech-Based Dysarthria Detection using Multi-task Learning with Gradient Projection
INTERSPEECH 2024
Task-Customized Mixture of Adapters for General Image Fusion
CVPR 2024
Multi-world Model in Continual Reinforcement Learning
AAAI 2024
Towards Explainable Joint Models via Information Theory for Multiple Intent Detection and Slot Filling
AAAI 2024
TA&AT: Enhancing Task-Oriented Dialog with Turn-Level Auxiliary Tasks and Action-Tree Based Scheduled Sampling
AAAI 2024
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties
AAAI 2024
Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling
AAAI 2024
EDM3: Event Detection as Multi-task Text Generation
NAACL 2024
Select and Augment: Enhanced Dense Retrieval Knowledge Graph Augmentation (Abstract Reprint)
AAAI 2024
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