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Machine Learning
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Multi-Task Learning
2117 directly classified papers
Papers per year
2006: 1
2007: 6
2008: 4
2009: 7
2010: 10
2011: 9
2012: 24
2013: 37
2014: 18
2015: 19
2016: 35
2017: 74
2018: 114
2019: 193
2020: 229
2021: 251
2022: 264
2023: 259
2024: 270
2025: 283
2026: 10
Papers
SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking
CVPR 2025
Correlative and Discriminative Label Grouping for Multi-Label Visual Prompt Tuning
CVPR 2025
Align3R: Aligned Monocular Depth Estimation for Dynamic Videos
CVPR 2025
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks
WACV 2025
AICOE at PerAnsSumm 2025: An Ensemble of Large Language Models for Perspective-Aware Healthcare Answer Summarization
NAACL 2025
cocoa at SemEval-2025 Task 10: Prompting vs. Fine-Tuning: A Multilevel Approach to Propaganda Classification
SEMEVAL 2025
Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity Framing
SEMEVAL 2025
CAMEL: Confidence-Aware Multi-Task Ensemble Learning with Spatial Information for Retina OCT Image Classification and Segmentation
WACV 2025
Not All Parameters Are Created Equal: Smart Isolation Boosts Fine-Tuning Performance
EMNLP 2025
Exploration Lab IITK at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection
ACL 2025
Encoder Fine-tuning with Stochastic Sampling Outperforms Open-weight GPT in Astronomy Knowledge Extraction
IJCNLP 2025
Towards Attribution of Generators and Emotional Manipulation in Cross-Lingual Synthetic Speech using Geometric Learning
IJCNLP 2025
KinMo: Kinematic-aware Human Motion Understanding and Generation
ICCV 2025
LLM’s Weakness in NER Doesn’t Stop It from Enhancing a Stronger SLM
NAACL 2025
CDHF at SemEval-2025 Task 9: A Multi-Task Learning Approach for Food Hazard Classification
SEMEVAL 2025
TimberVision: A Multi-Task Dataset and Framework for Log-Component Segmentation and Tracking in Autonomous Forestry Operations
WACV 2025
Mastering Collaborative Multi-modal Data Selection: A Focus on Informativeness, Uniqueness, and Representativeness
ICCV 2025
SemiVisBooster: Boosting Semi-Supervised Learning for Fine-Grained Classification through Pseudo-Label Semantic Guidance
ICCV 2025
MUNBa: Machine Unlearning via Nash Bargaining
ICCV 2025
BackMATH: Towards Backward Reasoning for Solving Math Problems Step by Step
COLING 2025
Multilingual Continual Learning using Attention Distillation
COLING 2025
Multi-modal Multi-platform Person Re-Identification: Benchmark and Method
ICCV 2025
Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) Recommendations
AAAI 2025
Multi-task Visual Grounding with Coarse-to-Fine Consistency Constraints
AAAI 2025
Met2Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems
ICCV 2025
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