Results 11 to 20 of about 173,284 (257)

TensLoRA: Tensor Alternatives for Low-Rank Adaptation

CoRR
Published at ICASSP 2026. 5 pages, 1 figure, 2 tables.
Axel Marmoret, Reda Bensaid, Jonathan Lys, Vincent Gripon, François Leduc-Primeau   +4 more
openaire   +3 more sources

FLoCoRA: Federated Learning Compression with Low-Rank Adaptation

2024 32nd European Signal Processing Conference (EUSIPCO)
Low-Rank Adaptation (LoRA) methods have gained popularity in efficient parameter fine-tuning of models containing hundreds of billions of parameters. In this work, instead, we demonstrate the application of LoRA methods to train small-vision models in Federated Learning (FL) from scratch.
Grativol, Lucas, Leonardon, Mathieu, Muller, Guillaume, Fresse, Virginie, Arzel, Matthieu   +4 more
core   +6 more sources

Low-Rank Approximation, Adaptation, and Other Tales

CoRR
Low-rank approximation is a fundamental technique in modern data analysis, widely utilized across various fields such as signal processing, machine learning, and natural language processing. Despite its ubiquity, the mechanics of low-rank approximation and its application in adaptation can sometimes be obscure, leaving practitioners and researchers ...
Lu, Jun
openaire   +3 more sources

Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression

, 2023
The latest advancements in neural image compression show great potential in surpassing the rate-distortion performance of conventional standard codecs.
Xiang, Jinxi, Han, Xiao, Lv, Yue, Zhang, Jun, Yang, Wenming, Yang, Wei   +5 more
core   +1 more source

Do student evaluations of university reflect inaccurate beliefs or actual experience? A relative rank model [PDF]

, 2014
It was shown that student satisfaction ratings are influenced by context in ways that have important theoretical and practical implications. Using questions from the UK's National Student Survey, the study examined whether and how students' expressed ...
Gordon D. A. Brown, G. D. Brown (2274739), John Maltby (562551), Brown, Gordon D A, Maltby, John, Ruth S. Ogden, Ogden, Ruth S., A. M. Wood (7642988), Wood, Alex M, John Maltby, Wood, Alex M., R. S. Ogden (7679024), Ogden, Ruth S, Alex M. Wood, Brown, G. D. A.   +14 more
core   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Hospitalization Through Families’ Eyes: Comparing Inpatient Care Quality for Children With Sickle Cell Disease and Cystic Fibrosis in Canada

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Sickle cell disease (SCD) is a chronic, inherited hemoglobinopathy that requires frequent hospitalization for disease‐related complications. Canadian data on inpatient care is limited. This study compared caregiver‐reported hospital experiences of children with SCD to those with cystic fibrosis (CF), a chronic, autosomal recessive ...
Hailey M. Zwicker, Kyle Kemp, Perri Tutelman, Sharon H. J. Hou, Paul Fairie, Maria Santana, Gregory M. T. Guilcher, Taryn Fay‐McClymont, Glenda Bendiak, Wendy Pelletier, Nicola Wright, Fiona Schulte   +11 more
wiley   +1 more source

Sparse Low-rank Adaptation of Pre-trained Language Models

, 2023
Fine-tuning pre-trained large language models in a parameter-efficient manner is widely studied for its effectiveness and efficiency. The popular method of low-rank adaptation (LoRA) offers a notable approach, hypothesizing that the adaptation process is
Lv, Xingtai, Ding, Ning, Liu, Zhiyuan, Zhou, Bowen, Sun, Maosong, Wang, Qiaosen, Chen, Yulin   +6 more
core  

Deep Sequencing of FLT3‐ITD Enables Response Evaluation and Post‐Treatment Monitoring in Childhood AML: An Exploratory Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm, Bea Tornberg, Erik Delsing Malmberg, Henrik Hasle, Kristian Løvvik Juul‐Dam, Lars Palmqvist, Borhan R. Saeed, Giti Shah Barkhordar, Anastasia Soboli, Anna Staffas, Jonas Abrahamsson, Linda Fogelstrand   +11 more
wiley   +1 more source

Mixture-of-Subspaces in Low-Rank Adaptation

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
EMNLP 2024 Main ...
Taiqiang Wu, Jiahao Wang, Zhe Zhao 0006, Ngai Wong 0001   +3 more
openaire   +2 more sources