| Continual lifelong learning with neural networks: A review GI Parisi, R Kemker, JL Part, C Kanan, S Wermter Neural Networks, 2019 | 3562 | 2019 |
| Measuring catastrophic forgetting in neural networks R Kemker, M McClure, A Abitino, TL Hayes, C Kanan AAAI, 2018 | 857 | 2018 |
| Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning R Kemker, C Salvaggio, C Kanan ISPRS Journal of Photogrammetry and Remote Sensing 145, 60-77, 2018 | 597 | 2018 |
| FearNet: Brain-Inspired Model for Incremental Learning R Kemker, C Kanan ICLR, 2018 | 588 | 2018 |
| Robotic grasp detection using deep convolutional neural networks S Kumra, C Kanan IROS, 769-776, 2017 | 584 | 2017 |
| Color-to-grayscale: does the method matter in image recognition? C Kanan, GW Cottrell PLOS ONE 7 (1), e29740, 2012 | 538 | 2012 |
| DVQA: Understanding Data Visualizations via Question Answering K Kafle, S Cohen, B Price, C Kanan CVPR, 2018 | 384 | 2018 |
| REMIND Your Neural Network to Prevent Catastrophic Forgetting TL Hayes, K Kafle, R Shrestha, M Acharya, C Kanan ECCV, 2020 | 363 | 2020 |
| SUN: Top-down saliency using natural statistics C Kanan, MH Tong, L Zhang, GW Cottrell Visual Cognition 17 (6-7), 979-1003, 2009 | 331 | 2009 |
| Visual Question Answering: Datasets, Algorithms, and Future Challenges K Kafle, C Kanan Computer Vision and Image Understanding (CVIU), 2017 | 295 | 2017 |
| An Analysis of Visual Question Answering Algorithms K Kafle, C Kanan ICCV, 2017 | 289 | 2017 |
| Memory Efficient Experience Replay for Streaming Learning TL Hayes, ND Cahill, C Kanan ICRA, 2019 | 286 | 2019 |
| Robust classification of objects, faces, and flowers using natural image statistics C Kanan, G Cottrell CVPR, 2472-2479, 2010 | 254 | 2010 |
| Avalanche: an end-to-end library for continual learning V Lomonaco, L Pellegrini, A Cossu, A Carta, G Graffieti, TL Hayes, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 214 | 2021 |
| Lifelong machine learning with deep streaming linear discriminant analysis TL Hayes, C Kanan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 201 | 2020 |
| VAIS: A dataset for recognizing maritime imagery in the visible and infrared spectrums MM Zhang, J Choi, K Daniilidis, MT Wolf, C Kanan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 188 | 2015 |
| Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies P Raciti, J Sue, R Ceballos, R Godrich, JD Kunz, S Kapur, V Reuter, ... Modern Pathology 33 (10), 2058-2066, 2020 | 170 | 2020 |
| On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law D Teney, K Kafle, R Shrestha, E Abbasnejad, C Kanan, A Hengel Neural Information Processing Systems, 2020 | 166 | 2020 |
| Answer-type prediction for visual question answering K Kafle, C Kanan CVPR, 4976-4984, 2016 | 165 | 2016 |
| Data Augmentation for Visual Question Answering K Kafle, M Yousefhussien, C Kanan International Natural Language Generation Conference (INLG), 2017 | 150 | 2017 |
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