Christopher Kanan

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 118

Top Venues

Publications

Md Yousuf Harun, Kyungbok Lee, Jhair Gallardo, Giri Krishnan, Christopher Kanan
What Variables Affect Out-Of-Distribution Generalization in Pretrained Models? CoRR (2024)
Eli Verwimp, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M. van de Ven
Continual Learning: Applications and the Road Forward. Trans. Mach. Learn. Res. 2024 (2024)
George Shaikovski, Adam Casson, Kristen Severson, Eric Zimmermann, Yi Kan Wang, Jeremy D. Kunz, Juan Retamero, Gerard Oakley, David S. Klimstra, Christopher Kanan, Matthew G. Hanna, Michal Zelechowski, Julian Viret, Neil A. Tenenholtz, James Brian Hall, Nicolò Fusi, Razik Yousfi, Peter Hamilton, William A. Moye, Eugene Vorontsov, Siqi Liu, Thomas J. Fuchs
PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology. CoRR (2024)
Yunye Gong, Robik Shrestha, Jared Claypoole, Michael Cogswell, Arijit Ray, Christopher Kanan, Ajay Divakaran
BloomVQA: Assessing Hierarchical Multi-modal Comprehension. ACL (Findings) (2024)
Eli Verwimp, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M. van de Ven
Continual Learning: Applications and the Road Forward. CoRR (2023)
Yunye Gong, Robik Shrestha, Jared Claypoole, Michael Cogswell, Arijit Ray, Christopher Kanan, Ajay Divakaran
BloomVQA: Assessing Hierarchical Multi-modal Comprehension. CoRR (2023)
Eugene Vorontsov, Alican Bozkurt, Adam Casson, George Shaikovski, Michal Zelechowski, Siqi Liu, Philippe Mathieu, Alexander van Eck, Donghun Lee, Julian Viret, Eric Robert, Yi Kan Wang, Jeremy D. Kunz, Matthew C. H. Lee, Jan Bernhard, Ran A. Godrich, Gerard Oakley, Ewan Millar, Matthew G. Hanna, Juan Retamero, William A. Moye, Razik Yousfi, Christopher Kanan, David S. Klimstra, Brandon Rothrock, Thomas J. Fuchs
Virchow: A Million-Slide Digital Pathology Foundation Model. CoRR (2023)
Chen Ding, Christopher Kanan, Dylan McKellips, Toranosuke Ozawa, Arian Shahmirza, Wesley Smith
DMC4ML: Data Movement Complexity for Machine Learning. CoRR (2023)
Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Christopher Kanan
How Efficient Are Today's Continual Learning Algorithms? CoRR (2023)
Md Yousuf Harun, Jhair Gallardo, Christopher Kanan
GRASP: A Rehearsal Policy for Efficient Online Continual Learning. CoRR (2023)
Adam Casson, Siqi Liu, Ran A. Godrich, Hamed Aghdam, Brandon Rothrock, Kasper Malfroid, Christopher Kanan, Thomas J. Fuchs
Joint Breast Neoplasm Detection and Subtyping using Multi-Resolution Network Trained on Large-Scale H&E Whole Slide Images with Weak Labels. MIDL (2023)
Karthik Subramanian, Saurav Singh, Justin Namba, Jamison Heard, Christopher Kanan, Ferat Sahin
Spatial and Temporal Attention-Based Emotion Estimation on HRI-AVC Dataset. SMC (2023)
Karthik Subramanian, Saurav Singh, Justin Namba, Jamison Heard, Christopher Kanan, Ferat Sahin
Spatial and Temporal Attention-based emotion estimation on HRI-AVC dataset. CoRR (2023)
Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Ronald Kemker, Christopher Kanan
SIESTA: Efficient Online Continual Learning with Sleep. CoRR (2023)
Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman
Semantic Segmentation with Active Semi-Supervised Learning. WACV (2023)
Matthew Iceland, Christopher Kanan
Understanding the Benefits of Image Augmentations. CoRR (2023)
Md Yousuf Harun, Christopher Kanan
Overcoming the Stability Gap in Continual Learning. CoRR (2023)
Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Christopher Kanan
How Efficient Are Today's Continual Learning Algorithms? CVPR Workshops (2023)
Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Ronald Kemker, Christopher Kanan
SIESTA: Efficient Online Continual Learning with Sleep. Trans. Mach. Learn. Res. 2023 (2023)
Tyler L. Hayes, Maximilian Nickel, Christopher Kanan, Ludovic Denoyer, Arthur Szlam
Can I see an Example? Active Learning the Long Tail of Attributes and Relations. CoRR (2022)
Manoj Acharya, Anirban Roy, Kaushik Koneripalli, Susmit Jha, Christopher Kanan, Ajay Divakaran
Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network. IJCAI (2022)
Rakshit Sunil Kothari, Reynold J. Bailey, Christopher Kanan, Jeff B. Pelz, Gabriel J. Diaz
EllSeg-Gen, towards Domain Generalization for head-mounted eyetracking. CoRR (2022)
Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael Piacentino, Jesse Hostetler, Aswin Raghavan
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. AIMLSystems (2022)
Robik Shrestha, Kushal Kafle, Christopher Kanan
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses. CoRR (2022)
Tyler L. Hayes, Christopher Kanan
Online Continual Learning for Embedded Devices. CoLLAs (2022)
Robik Shrestha, Kushal Kafle, Christopher Kanan
An Investigation of Critical Issues in Bias Mitigation Techniques. WACV (2022)
Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman
Semantic Segmentation with Active Semi-Supervised Representation Learning. CoRR (2022)
Zachary Alan Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael Piacentino, Ajay Divakaran, Roberto Corizzo, Kamil Faber, Nathalie Japkowicz, Michael Baron, James Seale Smith, Sahana Pramod Joshi, Zsolt Kira, Cameron Ethan Taylor, Mustafa Burak Gurbuz, Constantine Dovrolis, Tyler L. Hayes, Christopher Kanan, Jhair Gallardo
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. CoLLAs (2022)
Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman
Semantic Segmentation with Active Semi-Supervised Representation Learning. BMVC (2022)
Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. CoRR (2022)
Aneesh Rangnekar, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman
SpecAL: Towards Active Learning for Semantic Segmentation of Hyperspectral Imagery. DDDAS (2022)
Tyler L. Hayes, Maximillian Nickel, Christopher Kanan, Ludovic Denoyer, Arthur Szlam
Can I see an Example? Active Learning the Long Tail of Attributes and Relations. BMVC (2022)
Rakshit Sunil Kothari, Reynold J. Bailey, Christopher Kanan, Jeff B. Pelz, Gabriel J. Diaz
EllSeg-Gen, towards Domain Generalization for Head-Mounted Eyetracking. Proc. ACM Hum. Comput. Interact. 6 (ETRA) (2022)
Tyler L. Hayes, Christopher Kanan
Online Continual Learning for Embedded Devices. CoRR (2022)
Robik Shrestha, Kushal Kafle, Christopher Kanan
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses. ECCV (20) (2022)
Manoj Acharya, Anirban Roy, Kaushik Koneripalli, Susmit Jha, Christopher Kanan, Ajay Divakaran
Detecting out-of-context objects using contextual cues. CoRR (2022)
Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman
Semantic Segmentation with Active Semi-Supervised Learning. CoRR (2022)
Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni
Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops (2021)
Gianmarco J. Gallardo, Tyler L. Hayes, Christopher Kanan
Self-Supervised Training Enhances Online Continual Learning. BMVC (2021)
Yipeng Zhang, Tyler L. Hayes, Christopher Kanan
Disentangling Transfer and Interference in Multi-Domain Learning. CoRR (2021)
Robik Shrestha, Kushal Kafle, Christopher Kanan
An Investigation of Critical Issues in Bias Mitigation Techniques. CoRR (2021)
Tyler L. Hayes, Christopher Kanan
Selective Replay Enhances Learning in Online Continual Analogical Reasoning. CVPR Workshops (2021)
Manoj Acharya, Christopher Kanan
2nd Place Solution for SODA10M Challenge 2021 - Continual Detection Track. CoRR (2021)
Usman Mahmood, Robik Shrestha, David D. B. Bates, Lorenzo Mannelli, Giuseppe Corrias, Yusuf E. Erdi, Christopher Kanan
Detecting Spurious Correlations With Sanity Tests for Artificial Intelligence Guided Radiology Systems. Frontiers Digit. Health 3 (2021)
Bidur Khanal, Christopher Kanan
How Does Heterogeneous Label Noise Impact Generalization in Neural Nets? CoRR (2021)
Tyler L. Hayes, Christopher Kanan
Selective Replay Enhances Learning in Online Continual Analogical Reasoning. CoRR (2021)
Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, Hava T. Siegelmann, Terrence J. Sejnowski, Christopher Kanan
Replay in Deep Learning: Current Approaches and Missing Biological Elements. CoRR (2021)
Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, Hava T. Siegelmann, Terrence J. Sejnowski, Christopher Kanan
Replay in Deep Learning: Current Approaches and Missing Biological Elements. Neural Comput. 33 (11) (2021)
Jhair Gallardo, Tyler L. Hayes, Christopher Kanan
Self-Supervised Training Enhances Online Continual Learning. CoRR (2021)
Usman Mahmood, Robik Shrestha, David D. B. Bates, Lorenzo Mannelli, Giuseppe Corrias, Yusuf E. Erdi, Christopher Kanan
Detecting Spurious Correlations with Sanity Tests for Artificial Intelligence Guided Radiology Systems. CoRR (2021)
Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni
Avalanche: an End-to-End Library for Continual Learning. CoRR (2021)
Bidur Khanal, Christopher Kanan
How Does Heterogeneous Label Noise Impact Generalization in Neural Nets? ISVC (2) (2021)
Manoj Acharya, Tyler L. Hayes, Christopher Kanan
RODEO: Replay for Online Object Detection. BMVC (2020)
Ryne Roady, Tyler L. Hayes, Christopher Kanan
Improved Robustness to Open Set Inputs via Tempered Mixup. ECCV Workshops (1) (2020)
Aneesh Rangnekar, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman
Uncertainty Estimation for Semantic Segmentation of Hyperspectral Imagery. DDDAS (2020)
Robik Shrestha, Kushal Kafle, Christopher Kanan
A negative case analysis of visual grounding methods for VQA. CoRR (2020)
Damien Teney, Kushal Kafle, Robik Shrestha, Ehsan Abbasnejad, Christopher Kanan, Anton van den Hengel
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law. CoRR (2020)
Aneesh Rangnekar, Nilay Mokashi, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman
AeroRIT: A New Scene for Hyperspectral Image Analysis. IEEE Trans. Geosci. Remote. Sens. 58 (11) (2020)
Damien Teney, Ehsan Abbasnejad, Kushal Kafle, Robik Shrestha, Christopher Kanan, Anton van den Hengel
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law. NeurIPS (2020)
Tyler L. Hayes, Christopher Kanan
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis. CVPR Workshops (2020)
Ryne Roady, Tyler L. Hayes, Hitesh Vaidya, Christopher Kanan
Stream-51: Streaming Classification and Novelty Detection from Videos. CVPR Workshops (2020)
Ryne Roady, Tyler L. Hayes, Christopher Kanan
Improved Robustness to Open Set Inputs via Tempered Mixup. CoRR (2020)
Kushal Kafle, Robik Shrestha, Brian L. Price, Scott Cohen, Christopher Kanan
Answering Questions about Data Visualizations using Efficient Bimodal Fusion. WACV (2020)
Zhongchao Qian, Tyler L. Hayes, Kushal Kafle, Christopher Kanan
Do We Need Fully Connected Output Layers in Convolutional Networks? CoRR (2020)
Robik Shrestha, Kushal Kafle, Christopher Kanan
A negative case analysis of visual grounding methods for VQA. ACL (2020)
Manoj Acharya, Tyler L. Hayes, Christopher Kanan
RODEO: Replay for Online Object Detection. CoRR (2020)
Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan
REMIND Your Neural Network to Prevent Catastrophic Forgetting. ECCV (8) (2020)
Rakshit Sunil Kothari, Zhizhuo Yang, Christopher Kanan, Reynold Bailey, Jeff B. Pelz, Gabriel J. Diaz
Gaze-in-wild: A dataset for studying eye and head coordination in everyday activities. CoRR (2019)
German Ignacio Parisi, Christopher Kanan
Rethinking Continual Learning for Autonomous Agents and Robots. CoRR (2019)
Aayush K. Chaudhary, Rakshit Sunil Kothari, Manoj Acharya, Shusil Dangi, Nitinraj Nair, Reynold Bailey, Christopher Kanan, Gabriel J. Diaz, Jeff B. Pelz
RITnet: Real-time Semantic Segmentation of the Eye for Gaze Tracking. CoRR (2019)
Aayush K. Chaudhary, Rakshit Sunil Kothari, Manoj Acharya, Shusil Dangi, Nitinraj Nair, Reynold Bailey, Christopher Kanan, Gabriel J. Diaz, Jeff B. Pelz
RITnet: Real-time Semantic Segmentation of the Eye for Gaze Tracking. ICCV Workshops (2019)
Aneesh Rangnekar, Nilay Mokashi, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman
AeroRIT: A New Scene for Hyperspectral Image Analysis. CoRR (2019)
Kushal Kafle, Robik Shrestha, Brian L. Price, Scott Cohen, Christopher Kanan
Answering Questions about Data Visualizations using Efficient Bimodal Fusion. CoRR (2019)
Nabeel Seedat, Christopher Kanan
Towards calibrated and scalable uncertainty representations for neural networks. CoRR (2019)
German Ignacio Parisi, Ronald Kemker, Jose L. Part, Christopher Kanan, Stefan Wermter
Continual lifelong learning with neural networks: A review. Neural Networks 113 (2019)
Robik Shrestha, Kushal Kafle, Christopher Kanan
Answer Them All! Toward Universal Visual Question Answering Models. CVPR (2019)
Tyler L. Hayes, Nathan D. Cahill, Christopher Kanan
Memory Efficient Experience Replay for Streaming Learning. ICRA (2019)
Manoj Acharya, Kushal Kafle, Christopher Kanan
TallyQA: Answering Complex Counting Questions. AAAI (2019)
Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan
REMIND Your Neural Network to Prevent Catastrophic Forgetting. CoRR (2019)
Kushal Kafle, Robik Shrestha, Christopher Kanan
Challenges and Prospects in Vision and Language Research. CoRR (2019)
Robik Shrestha, Kushal Kafle, Christopher Kanan
Answer Them All! Toward Universal Visual Question Answering Models. CoRR (2019)
Manoj Acharya, Karan Jariwala, Christopher Kanan
VQD: Visual Query Detection In Natural Scenes. NAACL-HLT (1) (2019)
Manoj Acharya, Karan Jariwala, Christopher Kanan
VQD: Visual Query Detection in Natural Scenes. CoRR (2019)
Kushal Kafle, Robik Shrestha, Christopher Kanan
Challenges and Prospects in Vision and Language Research. Frontiers Artif. Intell. 2 (2019)
Ryne Roady, Tyler L. Hayes, Ronald Kemker, Ayesha Gonzales, Christopher Kanan
Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets? CoRR (2019)
Tyler L. Hayes, Christopher Kanan
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis. CoRR (2019)
Ronald Kemker, Marc McClure, Angelina Abitino, Tyler L. Hayes, Christopher Kanan
Measuring Catastrophic Forgetting in Neural Networks. AAAI (2018)
Kamran Binaee, Anna Starynska, Jeff B. Pelz, Christopher Kanan, Gabriel J. Diaz
Characterizing the Temporal Dynamics of Information in Visually Guided Predictive Control Using LSTM Recurrent Neural Networks. CogSci (2018)
Kamran Binaee, Anna Starynska, Jeff B. Pelz, Christopher Kanan, Gabriel Jacob Diaz
Characterizing the Temporal Dynamics of Information in Visually Guided Predictive Control Using LSTM Recurrent Neural Networks. CoRR (2018)
Manoj Acharya, Kushal Kafle, Christopher Kanan
TallyQA: Answering Complex Counting Questions. CoRR (2018)
German Ignacio Parisi, Ronald Kemker, Jose L. Part, Christopher Kanan, Stefan Wermter
Continual Lifelong Learning with Neural Networks: A Review. CoRR (2018)
Tyler L. Hayes, Ronald Kemker, Nathan D. Cahill, Christopher Kanan
New Metrics and Experimental Paradigms for Continual Learning. CVPR Workshops (2018)
Ronald Kemker, Christopher Kanan
FearNet: Brain-Inspired Model for Incremental Learning. ICLR (Poster) (2018)
Ronald Kemker, Ryan Luu, Christopher Kanan
Low-Shot Learning for the Semantic Segmentation of Remote Sensing Imagery. CoRR (2018)
Kushal Kafle, Brian L. Price, Scott Cohen, Christopher Kanan
DVQA: Understanding Data Visualizations via Question Answering. CVPR (2018)
Kushal Kafle, Scott Cohen, Brian L. Price, Christopher Kanan
DVQA: Understanding Data Visualizations via Question Answering. CoRR (2018)
Tyler L. Hayes, Nathan D. Cahill, Christopher Kanan
Memory Efficient Experience Replay for Streaming Learning. CoRR (2018)
Ronald Kemker, Ryan Luu, Christopher Kanan
Low-Shot Learning for the Semantic Segmentation of Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. 56 (10) (2018)
Ronald Kemker, Utsav B. Gewali, Christopher Kanan
EarthMapper: A Tool Box for the Semantic Segmentation of Remote Sensing Imagery. CoRR (2018)
Sulabh Kumra, Christopher Kanan
Robotic grasp detection using deep convolutional neural networks. IROS (2017)

Christopher Kanan.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Christopher Kanan