activity
20132022
most citedEfficient Neural Architecture Search via Parameter Sharing

613 citations · 1.3k across the 14 of their papers we have counts for

collaborators

16 papers

physics.ins-det2022

Analysis of signal waveform from a midsize liquid argon detetor

K. K. Zhao, M. Y. Guan, J. C. Liu +2

The midsize single-phase liquid argon prototype detector, operating at the surface laboratory, is designed to measure scintillation light emitted by the liquid argon (LAr). The det…

cs.CV2021★ 6 cited

A real-time spatiotemporal AI model analyzes skill in open surgical videos

Emmett D. Goodman, Krishna K. Patel, Yilun Zhang +10

Open procedures represent the dominant form of surgery worldwide. Artificial intelligence (AI) has the potential to optimize surgical practice and improve patient outcomes, but eff…

cs.CV2020★ 2 cited

Using Computer Vision to Automate Hand Detection and Tracking of Surgeon Movements in Videos of Open Surgery

Michael Zhang, Xiaotian Cheng, Daniel Copeland +4

Open, or non-laparoscopic surgery, represents the vast majority of all operating room procedures, but few tools exist to objectively evaluate these techniques at scale. Current eff…

cs.LG2019★ 69 cited

Making AI Forget You: Data Deletion in Machine Learning

Antonio Ginart, Melody Y. Guan, Gregory Valiant +1

Intense recent discussions have focused on how to provide individuals with control over when their data can and cannot be used --- the EU's Right To Be Forgotten regulation is an e…

cs.SD2019★ 3 cited

A Surprising Density of Illusionable Natural Speech

Melody Y. Guan, Gregory Valiant

Recent work on adversarial examples has demonstrated that most natural inputs can be perturbed to fool even state-of-the-art machine learning systems. But does this happen for huma…

cs.LG2018★ 613 cited

Efficient Neural Architecture Search via Parameter Sharing

Hieu Pham, Melody Y. Guan, Barret Zoph +2

We propose Efficient Neural Architecture Search (ENAS), a fast and inexpensive approach for automatic model design. In ENAS, a controller learns to discover neural network architec…