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multi-task learning

2556 papers

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Also known as

MTL

Co-occurring keywords

transfer learning (5442) text classification (6776) representation learning (6174) neural network (6616) named entity recognition (2801) large language model (12755) domain adaptation (4578) knowledge distillation (3680) attention mechanism (3975) sentiment analysis (2079)

Papers

FineVQ: Fine-Grained User Generated Content Video Quality Assessment CVPR 2025
VLASCD: A Visual Language Action Model for Simultaneous Chatting and Decision Making EMNLP 2025
GLiNER2: Schema-Driven Multi-Task Learning for Structured Information Extraction EMNLP 2025
DialogueMMT: Dialogue Scenes Understanding Enhanced Multi-modal Multi-task Tuning for Emotion Recognition in Conversations COLING 2025
MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learning COLING 2025
Deploying Multi-task Online Server with Large Language Model COLING 2025
A Simple yet Efficient Prompt Compression Method for Text Classification Data Annotation Using LLM COLING 2025
MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception CVPR 2025
WeakMCN: Multi-task Collaborative Network for Weakly Supervised Referring Expression Comprehension and Segmentation CVPR 2025
Detection-Friendly Nonuniformity Correction: A Union Framework for Infrared UAV Target Detection CVPR 2025
TokenHSI: Unified Synthesis of Physical Human-Scene Interactions through Task Tokenization CVPR 2025
Learning Dynamics of Meta-Learning in Small Model Pretraining IJCNLP 2025
ALIEN: Implicit Neural Representations for Human Motion Prediction under Arbitrary Latency CVPR 2025
Hierarchical Knowledge Prompt Tuning for Multi-task Test-Time Adaptation CVPR 2025
MoDE: Effective Multi-task Parameter Efficient Fine-Tuning with a Mixture of Dyadic Experts NAACL 2025
Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction CVPR 2025
WISH: Weakly Supervised Instance Segmentation using Heterogeneous Labels CVPR 2025
UniSTD: Towards Unified Spatio-Temporal Learning across Diverse Disciplines CVPR 2025
Z-Magic: Zero-shot Multiple Attributes Guided Image Creator CVPR 2025
Understanding Multi-Task Activities from Single-Task Videos CVPR 2025
One Model for ALL: Low-Level Task Interaction Is a Key to Task-Agnostic Image Fusion CVPR 2025
Diffusion-Based Visual Anagram as Multi-Task Learning WACV 2025
Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment CVPR 2025
Compositional Segmentation of Cardiac Images Leveraging Metadata WACV 2025
Generalist YOLO: Towards Real-Time End-to-End Multi-Task Visual Language Models WACV 2025