From LLM to FEM: Low-Rank Adaptation for Noise-Robust Structural Damage Detection. [PDF]
Kim J, Kang H, Chang S.
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Fine-Tuned Segment Anything Model with Low-Rank Adaptation for Chest X-Ray Images. [PDF]
Alahmari SS +3 more
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LoRAE: Low-Rank Adaptation for Edge AI
Abstract The rapid advancement of edge artificial intelligence (AI) has unlocked transformative applications across various domains. However, it also poses significant challenges in efficiently updating models on edge devices, which are often constrained by limited computational and communication resources.
Zhixue Wang, Hongyao Ma, Jiahui Zhai
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Multi-scene camera relocalization via modulated coordinate regression and low-rank adaptation. [PDF]
Sarıgül M, Karacan L, Ata B.
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MemLoTrack: Enhancing TIR Anti-UAV Tracking with Memory-Integrated Low-Rank Adaptation. [PDF]
Park JK, Han JH.
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Lightweight bearing fault diagnosis via decoupled distillation and low rank adaptation. [PDF]
Petrosian O +6 more
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Study on salient object segmentation based on depth information guidance and SAM low-rank adaptation fine-tuning. [PDF]
M A W.
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Low-Rank Approximation, Adaptation, and Other Tales
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 ...
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A personalized communication efficient federated learning framework with low rank adaptation for intelligent leukemia diagnosis. [PDF]
Suresh P, Keerthika P, Kumar ARN.
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A computationally efficient biomedical text processing framework for pharmacovigilance: integrating low-rank adaptation and interpretable AI for adverse drug reaction detection. [PDF]
Rezaei Z +3 more
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