We use a few cookies

Essential cookies keep the library working. With your permission, we'd also like to use analytics to see what's useful and improve the experience. Read our Privacy Policy or Cookie Policy.

Skip to main content
Home/e-Resources/Artificial Intelligence & Machine Learning/Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks
Conference ProceedingsArtificial Intelligence & Machine Learning

Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks

Rabeeh Karimi Mahabadi·Sebastian Ruder·Mostafa Dehghani·James Henderson
2021

Checking your access to this record.

Abstract & Overview

Rabeeh Karimi Mahabadi, Sebastian Ruder, Mostafa Dehghani, James Henderson. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2021.

Cite this record

Rabeeh Karimi Mahabadi, Sebastian Ruder, Mostafa Dehghani, James Henderson (2021). Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks. https://doi.org/10.18653/v1/2021.acl-long.47

Copy in another style

Mahabadi, R. K., Ruder, S., Dehghani, M., & Henderson, J. (2021). Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks. https://doi.org/10.18653/v1/2021.acl-long.47
Author names are used as deposited, so check their order before you submit.

Metadata is harvested from open-access indexes and can be incomplete. Check a citation against the published version before relying on it — see our open access & attribution policy.

Related Literature

Strategies for Training Large Vocabulary Neural Language Models

Michael Auli, Wenlin Chen

Beyond Hallucination: Generative AI as a Catalyst for Human Creativity and Cognitive Evolution

Weiwei Cai, Ming Gao

In ICCK Transactions on Emerging Topics in Artificial Intelligence

Estimation of soil moisture in paddy field using Artificial Neural Networks

Ryoichi Doi, Chusnul Arif

In INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ARTIFICIAL INTELLIGENCE

Generative artificial intelligence in the metaverse era

Zhihan Lv

In Cognitive Robotics