Results 11 to 20 of about 1,764,417 (289)

Fine-tuning in the 2HDM

European Physical Journal C: Particles and Fields, 2022
The Two-Higgs Doublet Model (2HDM) is one of the most popular and natural extensions of the Higgs sector; but it has two potential fine-tuning problems, related to the electroweak (EW) breaking and the requirement of alignment with the SM Higgs boson. We
A. Bernal, J. A. Casas, J. M. Moreno
doaj   +3 more sources

Partial Fine-Tuning: A Successor to Full Fine-Tuning for Vision Transformers

CoRR, 2023
Fine-tuning pre-trained foundation models has gained significant popularity in various research fields. Existing methods for fine-tuning can be roughly divided into two categories, namely Parameter-Efficient Fine-Tuning and High-Performance Fine-Tuning. The former aims at improving efficiency, while the latter focuses on enhancing performance.
Peng Ye 0006, Yongqi Huang, Chongjun Tu, Minglei Li, Tao Chen 0003, Tong He 0001, Wanli Ouyang   +6 more
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UCTLFANet: a low-rank fine-tuning model for microalgae image segmentation [PDF]

Scientific Reports
The fine-tuning module optimizes the model’s parameter structure while conserving computing resources. We introduce UCTLFANet, a low-rank fine-tuning model, for microalgae image segmentation. This model supports morphological analysis, cell counting, and
Ziyue Liu, Yuan Cheng, Dan Liu, Meiyi Jiang, Wenhao Yue, Shuo Yan, Fengyu Tian, Liming Cao, Daoming Jia, Yanbo Jiang, Hai Bi   +10 more
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Planetary fine-tuning, cosmological fine-tuning, and the multiverse [PDF]

Synthese
Abstract Many philosophers and scientists take cosmological fine-tuning—roughly the fact that our universe would have been devoid of life if it had had slightly different cosmological parameters—to point to the existence of a designer or multiverse.
openaire   +3 more sources

LLM Fine-Tuning: Concepts, Opportunities, and Challenges

Big Data and Cognitive Computing
As a foundation of large language models, fine-tuning drives rapid progress, broad applicability, and profound impacts on human–AI collaboration, surpassing earlier technological advancements.
Xiao-Kun Wu, Min Chen, Wanyi Li, Rui Wang, Limeng Lu, Jia Liu, Kai Hwang, Yixue Hao, Yanru Pan, Qingguo Meng, Kaibin Huang, Long Hu, Mohsen Guizani, Naipeng Chao, Giancarlo Fortino, Fei Lin, Yonglin Tian, Dusit Niyato, Fei-Yue Wang   +18 more
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Fine-tuning sequence-to-expression models on personal genome and transcriptome data [PDF]

Genome Biology
Background Genomic sequence-to-expression deep learning models, which are trained to predict gene expression and other molecular phenotypes across the reference genome, have recently been shown to have poor out-of-the-box performance in predicting gene ...
Ruchir Rastogi, Aniketh Janardhan Reddy, Ryan Chung, Nilah M. Ioannidis   +3 more
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Fine tuning, sequestering, and the swampland

Physics Letters B, 2019
We conjecture and present evidence that any effective field theory coupled to gravity in flat space admits at most a finite number of fine tunings, depending on the amount of supersymmetry and spacetime dimension. In particular, this means that there are
Jonathan J. Heckman, Cumrun Vafa
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An efficient strategy for fine-tuning large language models [PDF]

Frontiers in Artificial Intelligence
IntroductionLarge Language Models (LLMs) achieve strong performance on many Natural Language Processing tasks, but adapting them to domain-specific applications is resource-intensive due to the cost of curating task-specific datasets and the compute ...
Benjamin Marsh, Adam Michaleas, Darrell O. Ricke, Shaun Monera, Shriya Zembruski   +4 more
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Online Prediction of Ship Coupled Heave-Pitch Motions in Irregular Waves Based on a Coarse-and-Fine Tuning Fixed-Grid Wavelet Network

Journal of Marine Science and Engineering, 2021
A method based on a coarse- and fine-tuning fixed-grid wavelet networks is presented for online prediction of the coupled heave-pitch motions of a ship in irregular waves.
Baigang Huang, Jianjun Jiang, Zaojian Zou   +2 more
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ChemBERTa-2: Fine-Tuning for Molecule’s HIV Replication Inhibition Prediction [PDF]

, 2023
Two versions of Large Language ChemBERTa-2 models, pre-trained with two different methods, were fine-tuned in this work for HIV replication inhibition prediction. The best model achieved AUROC of 0.793.
Sylwia, Nowakowska
core   +1 more source