Results 41 to 50 of about 124,133 (290)
Two main concepts are established in the literature for the Parameter Setting Problem (PSP) of metaheuristics: Parameter Tuning Strategies (PTS) and Parameter Control Strategies (PCS).
Ries, Jana, Beullens, Patrick
core +1 more source
Objective To develop and evaluate a high-accuracy ECG image interpretation model using parameter-efficient Low-Rank Adaptation (LoRA) fine-tuning with the multimodal LLaMA V.3.2 model.Methods and analysis We fine-tuned the multimodal LLaMA V.3.2 model ...
Nandakishor Mukkunnoth +3 more
doaj +1 more source
Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning
Visual Parameter-Efficient Fine-Tuning (PEFT) has become a powerful alternative for full fine-tuning so as to adapt pre-trained vision models to downstream tasks, which only tunes a small number of parameters while freezing the vast majority ones to ease
Zhang, Jing +4 more
core
Parameter-Efficient Fine-Tuning for Foundation Models
25 pages, 6 figures, 7 ...
Dan Zhang +5 more
openaire +2 more sources
Enhancing LoRA Model Serving Capacity via Adaptive Operator Scheduling for Multi-Tenancy on GPU
Low-Rank Adaptation (LoRA) has garnered increasing attention for effectively fine-tuning large language models (LLMs) with limited resources. Nonetheless, conventional approaches that cater to multiple LoRA models independently lead to redundant ...
Lingnan Xia, Hua Ma
doaj +1 more source
Hijacking emergency granulopoiesis: Neutrophil ontogeny and reprogramming in cancer
Neutrophils are highly plastic innate immune cells; their functions in cancer extend beyond the tumour microenvironment. This Review summarises current understanding of neutrophil maturation and heterogeneity and highlights tumour‐induced granulopoiesis as a systemic programme that expands immature, immunosuppressive neutrophils via tumour‐derived ...
Gabriela Marinescu, Yi Feng
wiley +1 more source
TRACE: Time Series Parameter Efficient Fine-Tuning
We propose an efficient fine-tuning method for time series foundation models, termed TRACE: Time Series Parameter Efficient Fine-tuning. While pretrained time series foundation models are gaining popularity, they face the following challenges: (1) Unlike natural language tasks, time series data vary in frequency, channel numbers, historical/prediction ...
Yuze Li, Wei Zhu
openaire +2 more sources
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point +7 more
wiley +1 more source
Adaptive Multiple-Attribute Scenario LoRA Merge for Robust Perception in Autonomous Driving
Perception models for autonomous driving are predominantly trained on clear, daytime data, leaving their performance under rare conditions—particularly in multiple-attribute (joint weather–lighting) conditions such as night × rainy or night × snowy—an ...
Ryosuke Kawata +3 more
doaj +1 more source
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young +7 more
wiley +1 more source

