Results 231 to 240 of about 33,388 (259)
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Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

2023
Fine-tuning large pre-trained language models on downstream tasks has become an important paradigm in NLP. However, common practice fine-tunes all of the parameters in a pre-trained model, which becomes prohibitive when a large number of downstream tasks are present.
Zhang, Qingru   +6 more
openaire   +1 more source

Efficient perovskite solar cells via improved carrier management

Nature, 2021
Jason J Yoo   +2 more
exaly  

A Study of Parameter Efficient Fine-tuning by Learning to Efficiently Fine-Tune

Findings of the Association for Computational Linguistics: EMNLP 2024
Taha Ceritli   +5 more
openaire   +1 more source

Colorectal cancer screening for average‐risk adults: 2018 guideline update from the American Cancer Society

Ca-A Cancer Journal for Clinicians, 2018
Timothy R Church   +2 more
exaly  

Treating Tobacco Dependence in a Medical Setting

Ca-A Cancer Journal for Clinicians, 2009
Jon O Ebbert, J Taylor Hays
exaly  

Efficient storage mechanisms for building better supercapacitors

Nature Energy, 2016
Mathieu Salanne   +2 more
exaly  

Parameter-Efficient Optimization for Supervised Fine-tuning Trainer

2025 IEEE 29th International Conference on Intelligent Engineering Systems (INES)
Bruno Kristián, Giang Nguyen
openaire   +1 more source

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