I'm a third year computer science PhD student at Princeton University advised by Ryan Adams. My research interests broadly include continual/multitask learning, generative modeling, and distributed training of deep neural networks. Specific applications I've worked on in computer vision include autonomous driving and medical imaging.

Prior to Princeton, I completed a research fellowship at the National Institutes of Health, focusing on computer-aided diagnostics. I did my undergrad in mathematics at the University of Florida.

I'm supported by the NDSEG Fellowship.

6/12/2017 - I will be at Google Mountain View for the summer working on YouTube's machine learning infrastructure.

5/23/2017 - New paper on continual generative modeling

2/6/2017 - Assistant teaching Neural Networks with Sebastian Seung

11/27/2016 - MapNet project released

6/27/2016 - DeepDriving demoed at CVPR 2016

6/19/2016 - Invited talk at the Deep Learning for Autonomous Robots workshop at RSS 2016


Continual Learning in Generative Adversarial Nets
Ari Seff, Alex Beatson, Daniel Suo, Han Liu
Learning from Maps: Visual Common Sense for Autonomous Driving
Ari Seff and Jianxiong Xiao
LSUN: Construction of a Large-Scale Image Dataset using Deep Learning with Humans in the Loop
Fisher Yu, Ari Seff, Yinda Zhang, Shuran Song, Thomas Funkhouser, Jianxiong Xiao
arXiv preprint 2016
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
Chenyi Chen, Ari Seff, Alain Kornhauser, Jianxiong Xiao
ICCV 2015
Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection
This work was recently featured on the radiology website AuntMinnie.com
Ari Seff, Le Lu, Adrian Barbu, Holger Roth, Hoo-Chang Shin, Ronald Summers
Interleaved Text/Image Deep Mining on a Very Large-Scale Radiology Database
Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald Summers
CVPR 2015
2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers
Ari Seff, Le Lu, Kevin Cherry, Holger Roth, Jiamin Liu, Shijun Wang, Joanne Hoffman, Evrim Turkbey, Ronald Summers
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations
Holger Roth, Le Lu, Ari Seff, Kevin Cherry, Joanne Hoffman, Shijun Wang, Jiamin Liu, Evrim Turkbey, Ronald Summers
Contextual CT Radiation Exposure Sentinel Event Detection
Sam Weisenthal, Ari Seff, Xioa Zhang, Ronald Summers, Les Folio, Jianhua Yao
RSNA 2014
Reliability of Negative BOLD in Ipsilateral Sensorimotor Areas During Unimanual Task Activity
Keith McGregor, Atchar Sudhyadhom, Joe Nocera, Ari Seff, Bruce Crosson, Andrew Butler
Brain Imaging and Behavior, 2014