Deep Neural Networks for Semantic Segmentation of Multispectral Remote Sensing Imagery. - Ronald Kemker; Christopher Kanan (CoRR, 2017)

High-Resolution Multispectral Dataset for Semantic Segmentation. - Ronald Kemker; Carl Salvaggio; Christopher Kanan (CoRR, 2017)

Measuring Catastrophic Forgetting in Neural Networks. - Ronald Kemker; Angelina Abitino; Marc McClure; Christopher Kanan (CoRR, 2017)

Self-Taught Feature Learning for Hyperspectral Image Classification. - Ronald Kemker; Christopher Kanan (IEEE Trans. Geosci. Remote. Sens., 2017)

Measuring Catastrophic Forgetting in Neural Networks. - Ronald Kemker; Marc McClure; Angelina Abitino; Tyler L. Hayes; Christopher Kanan (AAAI, 2018)

New Metrics and Experimental Paradigms for Continual Learning. - Tyler L. Hayes; Ronald Kemker; Nathan D. Cahill; Christopher Kanan (CVPR Workshops, 2018)

FearNet: Brain-Inspired Model for Incremental Learning. - Ronald Kemker; Christopher Kanan (ICLR (Poster), 2018)

EarthMapper: A Tool Box for the Semantic Segmentation of Remote Sensing Imagery. - Ronald Kemker; Utsav B. Gewali; Christopher Kanan (CoRR, 2018)

Low-Shot Learning for the Semantic Segmentation of Remote Sensing Imagery. - Ronald Kemker; Ryan Luu; Christopher Kanan (IEEE Trans. Geosci. Remote. Sens., 2018)

Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets? - Ryne Roady; Tyler L. Hayes; Ronald Kemker; Ayesha Gonzales; Christopher Kanan (CoRR, 2019)

Continual lifelong learning with neural networks: A review. - German Ignacio Parisi; Ronald Kemker; Jose L. Part; Christopher Kanan; Stefan Wermter (Neural Networks, 2019)

SIESTA: Efficient Online Continual Learning with Sleep. - Md Yousuf Harun; Jhair Gallardo; Tyler L. Hayes; Ronald Kemker; Christopher Kanan (Trans. Mach. Learn. Res., 2023)