22 citations · 27 across the 5 of their papers we have counts for
5 papers
Distilled Pruning: Using Synthetic Data to Win the Lottery
Luke McDermott, Daniel Cummings
This work introduces a novel approach to pruning deep learning models by using distilled data. Unlike conventional strategies which primarily focus on architectural or algorithmic…
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…
Structured Citation Trend Prediction Using Graph Neural Networks
Daniel Cummings, Marcel Nassar
Academic citation graphs represent citation relationships between publications across the full range of academic fields. Top cited papers typically reveal future trends in their co…