Understanding and Improving Information Transfer in Multi-Task Learning

Understanding and Improving Information Transfer in Multi-Task Learning

International Conference on Learning Representations (ICLR), 2020

Papers citing "Understanding and Improving Information Transfer in Multi-Task Learning"

50 / 109 papers shown
Title
Efficient Ensemble for Fine-tuning Language Models on Multiple Datasets
Efficient Ensemble for Fine-tuning Language Models on Multiple DatasetsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
109
3
0
28 May 2025
Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach
Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation ApproachConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
195
3
0
28 Sep 2024
AdaMerging: Adaptive Model Merging for Multi-Task Learning
AdaMerging: Adaptive Model Merging for Multi-Task LearningInternational Conference on Learning Representations (ICLR), 2023
200
165
0
04 Oct 2023
A Universal Semantic-Geometric Representation for Robotic Manipulation
A Universal Semantic-Geometric Representation for Robotic ManipulationConference on Robot Learning (CoRL), 2023
188
23
0
18 Jun 2023
Learning to Generalize for Cross-domain QA
Learning to Generalize for Cross-domain QAAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
168
6
0
14 May 2023

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