Results 81 to 90 of about 9,716,149 (241)
Structured pruning method via low-rank adaptation for importance assessment
四川大学学报. 自然科学版Although Large Language Models （LLMs） based on the Transformer architecture have developed rapidly in Natural Language Processing （NLP）， their massive parameter counts and high computational costs severely constrain practical deployment.Existing model ...
ZENG Huibing +3 more
doaj
Low-Rank Online Metric Learning
, 2014 Image classification is a key problem in computer vision community. Most of the conventional visual recognition systems usually train an image classifier in an offline batch mode with all training data provided in advance. Unfortunately in many practical
Liu J(刘霁) +3 more
core
An epithelial GPR35 isoform supports tumor‐associated transcriptional and metabolic phenotypes
FEBS Letters, EarlyView.GPR35 generates two functionally distinct isoforms with previously unresolved roles. GPR35‐short mediates immune‐cell chemotaxis, while GPR35‐long is enriched in colorectal cancer epithelium, where it supports increased metabolism, proliferation, and tumor‐associated transcriptional programs.
Jørgen D. Rønneberg +14 more
wiley +1 more source
Empirical Evaluation on GPU, Overclocking, and LoRA for Deep Learning on Embedded Systems
IEEE AccessThe use and optimization of deep learning models for embedded systems and mobile devices present real-world challenges, such as limited computational resources, memory size, inference latency, and high-power consumption requirements. This study evaluated
Evandro Raphaloski +2 more
doaj +1 more source
Algorithms and literate programs for weighted low-rank approximation with missing data
, 2011 Linear models identification from data with missing values is posed as a weighted low-rank approximation problem with weights related to the missing values equal to zero.
Markovsky, Ivan
core
Structure‐forward targeting of claudins with synthetic binders
FEBS Letters, EarlyView.Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley +1 more source
Focusing the Diffusion: Importance Sampling for One-Shot Subject-Driven Image Generation
IEEE AccessDreamBooth-style personalization, which often relies on one or a few images, can memorize context (background, pose, lighting) rather than learning the subject’s identity, thereby reducing fidelity and limiting prompt-driven edits.
Ilgar G. Mamedov +5 more
doaj +1 more source
FEBS Letters, EarlyView.Animals must match their growth rate to available nutrients. We show that in Drosophila larvae, the nutrient‐sensing TOR kinase controls growth by regulating levels of TFAM, a key regulator of mitochondrial function, in the adipose tissue. When nutrients are abundant, high TOR activity suppresses TFAM, lowering mitochondrial bioenergetic activity and ...
Shrivani Sriskanthadevan‐Pirahas +4 more
wiley +1 more source
LoRA Fusion: Enhancing Image Generation
MathematicsRecent advancements in low-rank adaptation (LoRA) have shown its effectiveness in fine-tuning diffusion models for generating images tailored to new downstream tasks.
Dooho Choi, Jeonghyeon Im, Yunsick Sung
doaj +1 more source
Peripheral lysosomes recruit PLEKHG3 to focal adhesions and restrain protrusion dynamics
FEBS Letters, EarlyView.Proximity‐dependent labeling at the LAMTOR complex revealed the Rho GEF PLEKHG3 as a lysosome‐proximal protein directing the study toward the influence of lysosome positioning on actin dynamics and cell motility. We show that PLEKHG3 colocalizes with lysosomes at focal adhesion sites and observe that forced peripheral dispersion of lysosomes hinders ...
Rainer Ettelt +8 more
wiley +1 more source