4 citations · 6 across the 8 of their papers we have counts for
8 papers
Seeing the Signs: A Survey of Edge-Deployable OCR Models for Billboard Visibility Analysis
Maciej Szankin, Vidhyananth Venkatasamy, Lihang Ying
Outdoor advertisements remain a critical medium for modern marketing, yet accurately verifying billboard text visibility under real-world conditions is still challenging. Tradition…
LLaMA-NAS: Efficient Neural Architecture Search for Large Language Models
Anthony Sarah, Sharath Nittur Sridhar, Maciej Szankin +1
The abilities of modern large language models (LLMs) in solving natural language processing, complex reasoning, sentiment analysis and other tasks have been extraordinary which has…
SimQ-NAS: Simultaneous Quantization Policy and Neural Architecture Search
Sharath Nittur Sridhar, Maciej Szankin, Fang Chen +2
Recent one-shot Neural Architecture Search algorithms rely on training a hardware-agnostic super-network tailored to a specific task and then extracting efficient sub-networks for…
Sensi-BERT: Towards Sensitivity Driven Fine-Tuning for Parameter-Efficient BERT
Souvik Kundu, Sharath Nittur Sridhar, Maciej Szankin +1
Large pre-trained language models have recently gained significant traction due to their improved performance on various down-stream tasks like text classification and question ans…
InstaTune: Instantaneous Neural Architecture Search During Fine-Tuning
Sharath Nittur Sridhar, Souvik Kundu, Sairam Sundaresan +2
One-Shot Neural Architecture Search (NAS) algorithms often rely on training a hardware agnostic super-network for a domain specific task. Optimal sub-networks are then extracted fr…
A Hardware-Aware Framework for Accelerating Neural Architecture Search Across Modalities
Daniel Cummings, Anthony Sarah, Sharath Nittur Sridhar +3
Recent advances in Neural Architecture Search (NAS) such as one-shot NAS offer the ability to extract specialized hardware-aware sub-network configurations from a task-specific sup…
A Hardware-Aware System for Accelerating Deep Neural Network Optimization
Anthony Sarah, Daniel Cummings, Sharath Nittur Sridhar +4
Recent advances in Neural Architecture Search (NAS) which extract specialized hardware-aware configurations (a.k.a. "sub-networks") from a hardware-agnostic "super-network" have be…
Accelerating Neural Architecture Exploration Across Modalities Using Genetic Algorithms
Daniel Cummings, Sharath Nittur Sridhar, Anthony Sarah +1
Neural architecture search (NAS), the study of automating the discovery of optimal deep neural network architectures for tasks in domains such as computer vision and natural langua…