most citedA Hardware-Aware Framework for Accelerating Neural Architecture Search Across Modalities

4 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG20224 cited

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…

astro-ph.SR20221 cited

Deep-SWIM: A few-shot learning approach to classify Solar WInd Magnetic field structures

Hala Lamdouar, Sairam Sundaresan, Anna Jungbluth +9

The solar wind consists of charged particles ejected from the Sun into interplanetary space and towards Earth. Understanding the magnetic field of the solar wind is crucial for pre…

cs.AI20221 cited

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…

cs.NE2022

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…

cs.CL20221 cited

TrimBERT: Tailoring BERT for Trade-offs

Sharath Nittur Sridhar, Anthony Sarah, Sairam Sundaresan

Models based on BERT have been extremely successful in solving a variety of natural language processing (NLP) tasks. Unfortunately, many of these large models require a great deal…