Multi-Task Learning

PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning ACL 2024 PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search AAAI 2024 Personalized Federated Learning via Feature Distribution Adaptation NeurIPS 2024 Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning NeurIPS 2024 Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning NeurIPS 2024 Pessimistic Off-Policy Multi-Objective Optimization AISTATS 2024 pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning NeurIPS 2024 Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning NeurIPS 2024 PokeMQA: Programmable knowledge editing for Multi-hop Question Answering ACL 2024 Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation NeurIPS 2024 ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning AAAI 2024 Prospective Representation Learning for Non-Exemplar Class-Incremental Learning NeurIPS 2024 Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes ICLR 2024 Query-by-Example Keyword Spotting Using Spectral-Temporal Graph Attentive Pooling and Multi-Task Learning Interspeech 2024 QueST: Self-Supervised Skill Abstractions for Learning Continuous Control NeurIPS 2024 Relative Policy-Transition Optimization for Fast Policy Transfer AAAI 2024 Reliable Conflictive Multi-View Learning AAAI 2024 Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach NeurIPS 2024 Revisiting Ensembling in One-Shot Federated Learning NeurIPS 2024 Robust Policy Learning via Offline Skill Diffusion AAAI 2024 RoleCraft-GLM: Advancing Personalized Role-Playing in Large Language Models EACL 2024 Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut NeurIPS 2024 Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks ICLR 2024 Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach EMNLP 2024 Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Data JMLR 2024