Results 21 to 30 of about 9,716,149 (241)
GroupLoRA: Enhancing Rank Effectiveness Through Group-Wise Decomposition for Low-Rank Adaptation
IEEE AccessThe rapid advancement of Large Language Models (LLMs) and Large Vision Models (LVMs) has achieved breakthrough performance but has also created significant deployment challenges due to their massive scale, often exceeding 100 billion parameters ...
Jaesung Jun, Youngmin Ro
doaj +1 more source
Structured Low-rank Approximation as a Rational Function Minimization [PDF]
, 2012 Many problems of system identification, model reduction and signal processing can be posed and solved as a structured low-rank approximation problem (SLRA).
Markovsky, Ivan, Usevich, Konstantin
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Enhanced Retrieval-Augmented Generation Using Low-Rank Adaptation
Applied SciencesRecent advancements in retrieval-augmented generation (RAG) have substantially enhanced the efficiency of information retrieval. However, traditional RAG-based systems still encounter challenges, such as high latency in output decision making, the ...
Yein Choi +3 more
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Efficient Low-Rank Adaptation for Sparse Large Language Model
Tsinghua Science and TechnologyExisting Low-Rank Adaptation (LoRA) methods face challenges on sparse Large Language Models (LLMs) due to the inability to maintain sparsity. Recent works introduce methods that maintain sparsity by augmenting LoRA techniques with additional masking ...
Yuxuan Hu +10 more
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Multiclass Diabetic Retinopathy Classification based on Low-Rank Adaptation
CLEI Electronic JournalDiabetic retinopathy is a vision impairment associated with diabetes mellitus, a common medical condition. Retinographic imaging analysis of retinal fundus images is the predominant method of diagnosing this eye complication.
Sebastián Ferreria-Caballero +5 more
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Low-Rank Constrained Latent Domain Adaptation Co-Regression for Robust Depression Recognition
IEEE Access, 2019 Focusing on the facial-based depression recognition where the feature distribution could be shifted due to unlimited variations in facial image acquisition, we propose a novel Low-rank constrained latent Domain Adaptation Depression Recognition (LDADR ...
Jianwen Tao, Haote Xu, Jianjing Fu
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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 +14 more
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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 +23 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld +5 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo +9 more
wiley +1 more source