568 citations · 2.2k across the 54 of their papers we have counts for
8 papers · 1 filter
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games
Indranil Sur, Zachary Daniels, Abrar Rahman +16
As Artificial and Robotic Systems are increasingly deployed and relied upon for real-world applications, it is important that they exhibit the ability to continually learn and adap…
Semantic Segmentation with Active Semi-Supervised Representation Learning
Aneesh Rangnekar, Christopher Kanan, Matthew Hoffman
Obtaining human per-pixel labels for semantic segmentation is incredibly laborious, often making labeled dataset construction prohibitively expensive. Here, we endeavor to overcome…
EllSeg-Gen, towards Domain Generalization for head-mounted eyetracking
Rakshit S. Kothari, Reynold J. Bailey, Christopher Kanan +2
The study of human gaze behavior in natural contexts requires algorithms for gaze estimation that are robust to a wide range of imaging conditions. However, algorithms often fail t…
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses
Robik Shrestha, Kushal Kafle, Christopher Kanan
Dataset bias and spurious correlations can significantly impair generalization in deep neural networks. Many prior efforts have addressed this problem using either alternative loss…
Semantic Segmentation with Active Semi-Supervised Learning
Aneesh Rangnekar, Christopher Kanan, Matthew Hoffman
Using deep learning, we now have the ability to create exceptionally good semantic segmentation systems; however, collecting the prerequisite pixel-wise annotations for training im…
Online Continual Learning for Embedded Devices
Tyler L. Hayes, Christopher Kanan
Real-time on-device continual learning is needed for new applications such as home robots, user personalization on smartphones, and augmented/virtual reality headsets. However, thi…