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Christopher Kanan

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How Efficient Are Today's Continual Learning Algorithms?

Mar 29, 2023
Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Christopher Kanan

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SIESTA: Efficient Online Continual Learning with Sleep

Mar 19, 2023
Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Ronald Kemker, Christopher Kanan

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System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games

Dec 08, 2022
Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Smith, Sahana Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael Piacentino, Jesse Hostetler, Aswin Raghavan

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Semantic Segmentation with Active Semi-Supervised Representation Learning

Oct 16, 2022
Aneesh Rangnekar, Christopher Kanan, Matthew Hoffman

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EllSeg-Gen, towards Domain Generalization for head-mounted eyetracking

May 04, 2022
Rakshit S. Kothari, Reynold J. Bailey, Christopher Kanan, Jeff B. Pelz, Gabriel J. Diaz

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OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses

Apr 11, 2022
Robik Shrestha, Kushal Kafle, Christopher Kanan

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Semantic Segmentation with Active Semi-Supervised Learning

Mar 21, 2022
Aneesh Rangnekar, Christopher Kanan, Matthew Hoffman

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Online Continual Learning for Embedded Devices

Mar 21, 2022
Tyler L. Hayes, Christopher Kanan

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Can I see an Example? Active Learning the Long Tail of Attributes and Relations

Mar 11, 2022
Tyler L. Hayes, Maximilian Nickel, Christopher Kanan, Ludovic Denoyer, Arthur Szlam

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Detecting out-of-context objects using contextual cues

Feb 11, 2022
Manoj Acharya, Anirban Roy, Kaushik Koneripalli, Susmit Jha, Christopher Kanan, Ajay Divakaran

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