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multi-task learning

2556 papers

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Also known as

MTL MTTL MTLN

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

DEM: Distribution Edited Model for Training with Mixed Data Distributions EMNLP 2024
Biologically Inspired Learning Model for Instructed Vision NIPS 2024
Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox NIPS 2024
Towards Explainable Joint Models via Information Theory for Multiple Intent Detection and Slot Filling AAAI 2024
BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements WACV 2024
Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms NIPS 2024
A Multi-task Framework with Enhanced Hierarchical Attention for Sentiment Analysis on Classical Chinese Poetry: Utilizing Information from Short Lines EMNLP 2024
tasksource: A Large Collection of NLP tasks with a Structured Dataset Preprocessing Framework COLING 2024
MetaKP: On-Demand Keyphrase Generation EMNLP 2024
A Multi-Task Embedder For Retrieval Augmented LLMs ACL 2024
FAME: Towards Factual Multi-Task Model Editing EMNLP 2024
STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation AAAI 2024
Pre-trained Gaussian Processes for Bayesian Optimization JMLR 2024
One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems AAAI 2024
Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models EMNLP 2024
Amalgamating Multi-Task Models with Heterogeneous Architectures AAAI 2024
Prompt-Tuned Muti-Task Taxonomic Transformer (PTMTTaxoFormer) EMNLP 2024
MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning AAAI 2024
Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering AAAI 2024
Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction AAAI 2024
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks EMNLP 2024
AdaMerging: Adaptive Model Merging for Multi-Task Learning ICLR 2024
Initializing Services in Interactive ML Systems for Diverse Users NIPS 2024
Figuratively Speaking: Authorship Attribution via Multi-Task Figurative Language Modeling ACL 2024
WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning ACL 2024