activity
20152022
most citedBlockout: Dynamic Model Selection for Hierarchical Deep Networks

24 citations · 24 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV2022

Egocentric Deep Multi-Channel Audio-Visual Active Speaker Localization

Hao Jiang, Calvin Murdock, Vamsi Krishna Ithapu

Augmented reality devices have the potential to enhance human perception and enable other assistive functionalities in complex conversational environments. Effectively capturing th…

cs.LG2021

Reframing Neural Networks: Deep Structure in Overcomplete Representations

Calvin Murdock, George Cazenavette, Simon Lucey

In comparison to classical shallow representation learning techniques, deep neural networks have achieved superior performance in nearly every application benchmark. But despite th…

cs.LG2020

Architectural Adversarial Robustness: The Case for Deep Pursuit

George Cazenavette, Calvin Murdock, Simon Lucey

Despite their unmatched performance, deep neural networks remain susceptible to targeted attacks by nearly imperceptible levels of adversarial noise. While the underlying cause of…

cs.LG2020

Dataless Model Selection with the Deep Frame Potential

Calvin Murdock, Simon Lucey

Choosing a deep neural network architecture is a fundamental problem in applications that require balancing performance and parameter efficiency. Standard approaches rely on ad-hoc…

cs.LG2018

Deep Component Analysis via Alternating Direction Neural Networks

Calvin Murdock, Ming-Fang Chang, Simon Lucey

Despite a lack of theoretical understanding, deep neural networks have achieved unparalleled performance in a wide range of applications. On the other hand, shallow representation…

cs.CV2015★ 24 cited

Blockout: Dynamic Model Selection for Hierarchical Deep Networks

Calvin Murdock, Zhen Li, Howard Zhou +1

Most deep architectures for image classification--even those that are trained to classify a large number of diverse categories--learn shared image representations with a single mod…