From the 1 of 25 linked papers with an AI index.
9 papers · 1 filter
Device-First Feedback: Toward Mobile-Native LLM-Driven Neural Architecture Search
Saif U Din, Muhammad Ahsan Hussain, Radu Timofte +1
Deploying convolutional neural networks generated by large language models (LLMs) on real mobile hardware requires more than GPU validation accuracy: INT8 TensorFlow Lite export, d…
Similarity-Guided Curriculum Fine-Tuning of LLMs for Neural Architecture Synthesis
Anujaya Vijayakumar, Radu Timofte, Dmitry Ignatov
The paper proposes a MinHash‑based curriculum that gradually presents neural‑architecture code of increasing diversity to a large language model, fine‑tuning it with LoRA adapters…
A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks
Waleed Khalid, Dmitry Ignatov, Radu Timofte
Reusing existing neural-network components is central to research efficiency, yet discovering, extracting, and validating such modules across thousands of open-source repositories…
Real Image Denoising with Knowledge Distillation for High-Performance Mobile NPUs
Faraz Kayani, Sarmad Kayani, Asad Ahmed +2
While deep-learning-based image restoration has achieved unprecedented fidelity, deployment on mobile Neural Processing Units (NPUs) remains bottlenecked by operator incompatibilit…
Closed-Loop LLM Discovery of Non-Standard Channel Priors in Vision Models
Tolgay Atinc Uzun, Dmitry Ignatov, Radu Timofte
Channel-configuration search, the optimization of layer specifications such as channel widths in deep neural networks, presents a combinatorial challenge constrained by tensor-shap…
MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment
Arun Kumar, Aswathy Baiju, Radu Timofte +1
Mobile deployment of facial age estimation requires models that balance predictive accuracy with low latency and compact size. In this work, we present MobileAgeNet, a lightweight…