activity
20172022
most citedSemi-supervised Conditional GANs

41 citations · 41 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2022

Analogical Concept Memory for Architectures Implementing the Common Model of Cognition

Shiwali Mohan, Matthew Klenk

Architectures that implement the Common Model of Cognition - Soar, ACT-R, and Sigma - have a prominent place in research on cognitive modeling as well as on designing complex intel…

cs.LG2020

LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative Matching

Qun Liu, Matthew Shreve, Raja Bala

Although data is abundant, data labeling is expensive. Semi-supervised learning methods combine a few labeled samples with a large corpus of unlabeled data to effectively train mod…

cs.AI2020

Characterizing an Analogical Concept Memory for Architectures Implementing the Common Model of Cognition

Shiwali Mohan, Matt Klenk, Matthew Shreve +3

Architectures that implement the Common Model of Cognition - Soar, ACT-R, and Sigma - have a prominent place in research on cognitive modeling as well as on designing complex intel…

cs.CV2018

A method to Suppress Facial Expression in Posed and Spontaneous Videos

Ghada Zamzmi, Gabriel Ruiz, Matthew Shreve +3

We address the problem of suppressing facial expressions in videos because expressions can hinder the retrieval of important information in applications such as face recognition. T…

stat.ML201741 cited

Semi-supervised Conditional GANs

Kumar Sricharan, Raja Bala, Matthew Shreve +3

We introduce a new model for building conditional generative models in a semi-supervised setting to conditionally generate data given attributes by adapting the GAN framework. The…