Multi-Task Learning
2,556 papers
Papers per year
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Papers
Boosting Neural Cognitive Diagnosis with Student’s Affective State Modeling
AAAI 2024
Boosting Residual Networks with Group Knowledge
AAAI 2024
Can Large Language Models Mine Interpretable Financial Factors More Effectively? A Neural-Symbolic Factor Mining Agent Model
ACL 2024
CCIIPLab at SIGHAN-2024 dimABSA Task: Contrastive Learning-Enhanced Span-based Framework for Chinese Dimensional Aspect-Based Sentiment Analysis
ACL 2024
Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift
NeurIPS 2024
CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models
EMNLP 2024
CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation
EMNLP 2024
Collaborative Weakly Supervised Video Correlation Learning for Procedure-Aware Instructional Video Analysis
AAAI 2024
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators
AAAI 2024
Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels
ACL 2024
Compositional Structured Explanation Generation with Dynamic Modularized Reasoning
NAACL 2024
Computerized Adaptive Testing via Collaborative Ranking
NeurIPS 2024
ConstitutionalExperts: Training a Mixture of Principle-based Prompts
ACL 2024
Context-Aware Tracking and Dynamic Introduction for Incomplete Utterance Rewriting in Extended Multi-Turn Dialogues
ACL 2024
Continual Relation Extraction via Sequential Multi-Task Learning
AAAI 2024
Cooperative Knowledge Distillation: A Learner Agnostic Approach
AAAI 2024
Cost-Efficient Subjective Task Annotation and Modeling through Few-Shot Annotator Adaptation
EMNLP 2024
CoT-based Data Augmentation Strategy for Persuasion Techniques Detection
SemEval 2024
CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning
AAAI 2024
D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations
AAAI 2024
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment
WACV 2024
DanceMVP: Self-Supervised Learning for Multi-Task Primitive-Based Dance Performance Assessment via Transformer Text Prompting
AAAI 2024
Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models
EMNLP 2024
DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning
AAAI 2024
DATA-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning
ACL 2024