27 citations · 27 across the 4 of their papers we have counts for
4 papers
Towards Code-Oriented LM Embeddings for Surrogate-Assisted Neural Architecture Search
Pranav Somu, Advay Balakrishnan, Stepan Kravtsov +2
Developing effective surrogates (performance predictors) for Neural Architecture Search (NAS) typically requires expensive fine-tuning or the engineering of complex representations…
Frequency-domain Event-based Imaging for Selective Surveillance
Megan Birch, James Rick, Adrish Kar +2
Event-based cameras (EBCs) are an attractive sensing modality for surveillance due to their reporting of pixel-level radiance changes with microsecond resolution and high dynamic r…
LLM-Guided Evolution: An Autonomous Model Optimization for Object Detection
YiMing Yu, Jason Zutty
In machine learning, Neural Architecture Search (NAS) requires domain knowledge of model design and a large amount of trial-and-error to achieve promising performance. Meanwhile, e…
LLM Guided Evolution -- The Automation of Models Advancing Models
Clint Morris, Michael Jurado, Jason Zutty
In the realm of machine learning, traditional model development and automated approaches like AutoML typically rely on layers of abstraction, such as tree-based or Cartesian geneti…