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Multi-Task Learning

519 directly classified papers

Papers per year

Papers

MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task Learning EMNLP 2024
Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement Learning NIPS 2024
Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems AAAI 2024
Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification AAAI 2024
CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning AAAI 2024
Solving Spectrum Unmixing as a Multi-Task Bayesian Inverse Problem with Latent Factors for Endmember Variability AAAI 2024
Do's and Don'ts: Learning Desirable Skills with Instruction Videos NIPS 2024
Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms NIPS 2024
Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction AAAI 2024
Multi-Level Symbolic Regression: Function Structure Learning for Multi-Level Data AISTATS 2024
Understanding Inverse Scaling and Emergence in Multitask Representation Learning AISTATS 2024
Multi-Domain Recommendation to Attract Users via Domain Preference Modeling AAAI 2024
Offline Multitask Representation Learning for Reinforcement Learning NIPS 2024
Task-Driven Exploration: Decoupling and Inter-Task Feedback for Joint Moment Retrieval and Highlight Detection CVPR 2024
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models NIPS 2024
Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis AAAI 2024
Multi-Task Dense Prediction via Mixture of Low-Rank Experts CVPR 2024
MultiLS: An End-to-End Lexical Simplification Framework EMNLP 2024
Mixture-of-LoRAs: An Efficient Multitask Tuning Method for Large Language Models COLING 2024
STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation AAAI 2024
Toward the Modular Training of Controlled Paraphrase Adapters EACL 2024
DEM: Distribution Edited Model for Training with Mixed Data Distributions EMNLP 2024
A simple but effective model for attachment in discourse parsing with multi-task learning for relation labeling EACL 2023
Target Vocabulary Recognition Based on Multi-Task Learning with Decomposed Teacher Sequences INTERSPEECH 2023
Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data INTERSPEECH 2023