Christopher Kanan

148 papers A* 14A 10B 5Journal 89Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Benchmarking Video Foundation Models for Remote Parkinson's Disease Screening. CoRR Md. Saiful Islam, Ekram Hossain, Abdelrahman Abdelkader, T. M. Tariq Adnan, Fazla Rabbi Mashrur, Sooyong Park, Praveen Kumar, Qasim Sudais, Natalia Chunga, Nami Shah, Jan Freyberg, Christopher Kanan, Ruth B. Schneider, Mohammed E. Hoque
2026	J	`jnl`	Modular Memory is the Key to Continual Learning Agents. CoRR Vaggelis Dorovatas, Malte Schwerin, Andrew D. Bagdanov, Lucas Caccia, Antonio Carta, Laurent Charlin, Barbara Hammer, Tyler L. Hayes, Timm Hess, Christopher Kanan, Dhireesha Kudithipudi, Xialei Liu, Vincenzo Lomonaco, Jorge Mendez-Mendez, Darshan Patil, Ameya Prabhu, Elisa Ricci, Tinne Tuytelaars, Gido M. van de Ven, Liyuan Wang, Joost van de Weijer, Jonghyun Choi, Martin Mundt, Rahaf Aljundi
2026	J	`jnl`	Unlocking ImageNet's Multi-Object Nature: Automated Large-Scale Multilabel Annotation. CoRR Junyu Chen, Md Yousuf Harun, Christopher Kanan
2025	J	`jnl`	A Good Start Matters: Enhancing Continual Learning with Data-Driven Weight Initialization. CoRR Md Yousuf Harun, Christopher Kanan
2025	A*	`conf`	Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning. ICML Md Yousuf Harun, Jhair Gallardo, Christopher Kanan
2025	J	`jnl`	Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning. CoRR Md Yousuf Harun, Jhair Gallardo, Christopher Kanan
2025	A*	`conf`	Dynamic Sparse Training of Diagonally Sparse Networks. ICML Abhishek Tyagi, Arjun Iyer, William H. Renninger, Christopher Kanan, Yuhao Zhu
2025	J	`jnl`	Dynamic Sparse Training of Diagonally Sparse Networks. CoRR Abhishek Tyagi, Arjun Iyer, William H. Renninger, Christopher Kanan, Yuhao Zhu
2025	J	`jnl`	Efficient Dynamic Structured Sparse Training with Learned Shuffles. CoRR Abhishek Tyagi, Arjun Iyer, Liam Young, William H. Renninger, Christopher Kanan, Yuhao Zhu
2025	—	`conf`	INSIGHT: Explainable Weakly-Supervised Medical Image Analysis. MLHC Wenbo Zhang, Junyu Chen, Christopher Kanan
2025	—	`conf`	Revisiting Multi-Modal LLM Evaluation. CVPR Workshops Jian Lu, Shikhar Srivastava, Junyu Chen, Robik Shrestha, Manoj Acharya, Kushal Kafle, Christopher Kanan
2025	J	`jnl`	Temporal Chunking Enhances Recognition of Implicit Sequential Patterns. CoRR Jayanta Dey, Nicholas Soures, Miranda Gonzales, Itamar Lerner, Christopher Kanan, Dhireesha Kudithipudi
2024	—	`conf`	BloomVQA: Assessing Hierarchical Multi-modal Comprehension. ACL (Findings) Yunye Gong, Robik Shrestha, Jared Claypoole, Michael Cogswell, Arijit Ray, Christopher Kanan, Ajay Divakaran
2024	J	`jnl`	Can Kans (re)discover predictive models for Direct-Drive Laser Fusion? CoRR Rahman Ejaz, Varchas Gopalaswamy, Riccardo Betti, Aarne Lees, Christopher Kanan
2024	J	`jnl`	Continual Learning: Applications and the Road Forward. Trans. Mach. Learn. Res. 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
2024	—	`conf`	GRASP: A Rehearsal Policy for Efficient Online Continual Learning. CoLLAs Md Yousuf Harun, Jhair Gallardo, Junyu Chen, Christopher Kanan
2024	—	`conf`	Holistic Visual-Textual Sentiment Analysis with Prior Models. MIPR Junyu Chen, Jie An, Hanjia Lyu, Christopher Kanan, Jiebo Luo
2024	—	`conf`	Human Emotion Estimation through Physiological Data with Neural Networks. SOSE Jhair Gallardo, Celal Savur, Ferat Sahin, Christopher Kanan
2024	J	`jnl`	INSIGHT: Explainable Weakly-Supervised Medical Image Analysis. CoRR Wenbo Zhang, Junyu Chen, Christopher Kanan
2024	J	`jnl`	Improving Multimodal Large Language Models Using Continual Learning. CoRR Shikhar Srivastava, Md Yousuf Harun, Robik Shrestha, Christopher Kanan
2024	J	`jnl`	Learning to Evaluate the Artness of AI-Generated Images. IEEE Trans. Multim. Junyu Chen, Jie An, Hanjia Lyu, Christopher Kanan, Jiebo Luo
2024	J	`jnl`	Overcoming the Stability Gap in Continual Learning. Trans. Mach. Learn. Res. Md Yousuf Harun, Christopher Kanan
2024	J	`jnl`	PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology. CoRR 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
2024	J	`jnl`	Revisiting Multi-Modal LLM Evaluation. CoRR Jian Lu, Shikhar Srivastava, Junyu Chen, Robik Shrestha, Manoj Acharya, Kushal Kafle, Christopher Kanan
2024	J	`jnl`	What Variables Affect Out-Of-Distribution Generalization in Pretrained Models? CoRR Md Yousuf Harun, Kyungbok Lee, Jhair Gallardo, Giri Krishnan, Christopher Kanan
2024	A*	`conf`	What Variables Affect Out-of-Distribution Generalization in Pretrained Models? NeurIPS Md Yousuf Harun, Kyungbok Lee, Gianmarco J. Gallardo, Giri Krishnan, Christopher Kanan
2023	J	`jnl`	BloomVQA: Assessing Hierarchical Multi-modal Comprehension. CoRR Yunye Gong, Robik Shrestha, Jared Claypoole, Michael Cogswell, Arijit Ray, Christopher Kanan, Ajay Divakaran
2023	J	`jnl`	Continual Learning: Applications and the Road Forward. CoRR 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
2023	J	`jnl`	DMC4ML: Data Movement Complexity for Machine Learning. CoRR Chen Ding, Christopher Kanan, Dylan McKellips, Toranosuke Ozawa, Arian Shahmirza, Wesley Smith
2023	J	`jnl`	GRASP: A Rehearsal Policy for Efficient Online Continual Learning. CoRR Md Yousuf Harun, Jhair Gallardo, Christopher Kanan
2023	—	`conf`	How Efficient Are Today's Continual Learning Algorithms? CVPR Workshops Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Christopher Kanan
2023	J	`jnl`	How Efficient Are Today's Continual Learning Algorithms? CoRR Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Christopher Kanan
2023	—	`conf`	Joint Breast Neoplasm Detection and Subtyping using Multi-Resolution Network Trained on Large-Scale H&E Whole Slide Images with Weak Labels. MIDL Adam Casson, Siqi Liu, Ran A. Godrich, Hamed Aghdam, Brandon Rothrock, Kasper Malfroid, Christopher Kanan, Thomas J. Fuchs
2023	J	`jnl`	Overcoming the Stability Gap in Continual Learning. CoRR Md Yousuf Harun, Christopher Kanan
2023	J	`jnl`	SIESTA: Efficient Online Continual Learning with Sleep. CoRR Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Ronald Kemker, Christopher Kanan
2023	J	`jnl`	SIESTA: Efficient Online Continual Learning with Sleep. Trans. Mach. Learn. Res. Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Ronald Kemker, Christopher Kanan
2023	A	`conf`	Semantic Segmentation with Active Semi-Supervised Learning. WACV Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman
2023	B	`conf`	Spatial and Temporal Attention-Based Emotion Estimation on HRI-AVC Dataset. SMC Karthik Subramanian, Saurav Singh, Justin Namba, Jamison Heard, Christopher Kanan, Ferat Sahin
2023	J	`jnl`	Spatial and Temporal Attention-based emotion estimation on HRI-AVC dataset. CoRR Karthik Subramanian, Saurav Singh, Justin Namba, Jamison Heard, Christopher Kanan, Ferat Sahin
2023	J	`jnl`	Understanding the Benefits of Image Augmentations. CoRR Matthew Iceland, Christopher Kanan
2023	J	`jnl`	Virchow: A Million-Slide Digital Pathology Foundation Model. CoRR 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
2022	A	`conf`	An Investigation of Critical Issues in Bias Mitigation Techniques. WACV Robik Shrestha, Kushal Kafle, Christopher Kanan
2022	A	`conf`	Can I see an Example? Active Learning the Long Tail of Attributes and Relations. BMVC Tyler L. Hayes, Maximilian Nickel, Christopher Kanan, Ludovic Denoyer, Arthur Szlam
2022	J	`jnl`	Can I see an Example? Active Learning the Long Tail of Attributes and Relations. CoRR Tyler L. Hayes, Maximilian Nickel, Christopher Kanan, Ludovic Denoyer, Arthur Szlam
2022	A*	`conf`	Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network. IJCAI Manoj Acharya, Anirban Roy, Kaushik Koneripalli, Susmit Jha, Christopher Kanan, Ajay Divakaran
2022	J	`jnl`	Detecting out-of-context objects using contextual cues. CoRR Manoj Acharya, Anirban Roy, Kaushik Koneripalli, Susmit Jha, Christopher Kanan, Ajay Divakaran
2022	J	`jnl`	EllSeg-Gen, towards Domain Generalization for Head-Mounted Eyetracking. Proc. ACM Hum. Comput. Interact. Rakshit Sunil Kothari, Reynold J. Bailey, Christopher Kanan, Jeff B. Pelz, Gabriel J. Diaz
2022	J	`jnl`	EllSeg-Gen, towards Domain Generalization for head-mounted eyetracking. CoRR Rakshit Sunil Kothari, Reynold J. Bailey, Christopher Kanan, Jeff B. Pelz, Gabriel J. Diaz
2022	—	`conf`	Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. CoLLAs Zachary Alan Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. 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
2022	—	`conf`	OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses. ECCV (20) Robik Shrestha, Kushal Kafle, Christopher Kanan
2022	J	`jnl`	OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses. CoRR Robik Shrestha, Kushal Kafle, Christopher Kanan
2022	—	`conf`	Online Continual Learning for Embedded Devices. CoLLAs Tyler L. Hayes, Christopher Kanan
2022	J	`jnl`	Online Continual Learning for Embedded Devices. CoRR Tyler L. Hayes, Christopher Kanan
2022	J	`jnl`	Semantic Segmentation with Active Semi-Supervised Learning. CoRR Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman
2022	A	`conf`	Semantic Segmentation with Active Semi-Supervised Representation Learning. BMVC Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman
2022	J	`jnl`	Semantic Segmentation with Active Semi-Supervised Representation Learning. CoRR Aneesh Rangnekar, Christopher Kanan, Matthew J. Hoffman
2022	—	`conf`	SpecAL: Towards Active Learning for Semantic Segmentation of Hyperspectral Imagery. DDDAS Aneesh Rangnekar, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman
2022	—	`conf`	System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. AIMLSystems 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 R. Piacentino, Jesse Hostetler, Aswin Raghavan
2022	J	`jnl`	System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. CoRR 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 R. Piacentino, Jesse Hostetler, Aswin Raghavan
2021	J	`jnl`	2nd Place Solution for SODA10M Challenge 2021 - Continual Detection Track. CoRR Manoj Acharya, Christopher Kanan
2021	J	`jnl`	An Investigation of Critical Issues in Bias Mitigation Techniques. CoRR Robik Shrestha, Kushal Kafle, Christopher Kanan
2021	—	`conf`	Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops 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 W. 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
2021	J	`jnl`	Avalanche: an End-to-End Library for Continual Learning. CoRR 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 W. 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
2021	J	`jnl`	Detecting Spurious Correlations With Sanity Tests for Artificial Intelligence Guided Radiology Systems. Frontiers Digit. Health Usman Mahmood, Robik Shrestha, David D. B. Bates, Lorenzo Mannelli, Giuseppe Corrias, Yusuf E. Erdi, Christopher Kanan
2021	J	`jnl`	Detecting Spurious Correlations with Sanity Tests for Artificial Intelligence Guided Radiology Systems. CoRR Usman Mahmood, Robik Shrestha, David D. B. Bates, Lorenzo Mannelli, Giuseppe Corrias, Yusuf E. Erdi, Christopher Kanan
2021	J	`jnl`	Disentangling Transfer and Interference in Multi-Domain Learning. CoRR Yipeng Zhang, Tyler L. Hayes, Christopher Kanan
2021	—	`conf`	How Does Heterogeneous Label Noise Impact Generalization in Neural Nets? ISVC (2) Bidur Khanal, Christopher Kanan
2021	J	`jnl`	How Does Heterogeneous Label Noise Impact Generalization in Neural Nets? CoRR Bidur Khanal, Christopher Kanan
2021	J	`jnl`	Replay in Deep Learning: Current Approaches and Missing Biological Elements. CoRR Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, Hava T. Siegelmann, Terrence J. Sejnowski, Christopher Kanan
2021	J	`jnl`	Replay in Deep Learning: Current Approaches and Missing Biological Elements. Neural Comput. Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, Hava T. Siegelmann, Terrence J. Sejnowski, Christopher Kanan
2021	—	`conf`	Selective Replay Enhances Learning in Online Continual Analogical Reasoning. CVPR Workshops Tyler L. Hayes, Christopher Kanan
2021	J	`jnl`	Selective Replay Enhances Learning in Online Continual Analogical Reasoning. CoRR Tyler L. Hayes, Christopher Kanan
2021	A	`conf`	Self-Supervised Training Enhances Online Continual Learning. BMVC Gianmarco J. Gallardo, Tyler L. Hayes, Christopher Kanan
2021	J	`jnl`	Self-Supervised Training Enhances Online Continual Learning. CoRR Jhair Gallardo, Tyler L. Hayes, Christopher Kanan
2020	A*	`conf`	A negative case analysis of visual grounding methods for VQA. ACL Robik Shrestha, Kushal Kafle, Christopher Kanan
2020	J	`jnl`	A negative case analysis of visual grounding methods for VQA. CoRR Robik Shrestha, Kushal Kafle, Christopher Kanan
2020	J	`jnl`	AeroRIT: A New Scene for Hyperspectral Image Analysis. IEEE Trans. Geosci. Remote. Sens. Aneesh Rangnekar, Nilay Mokashi, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman
2020	A	`conf`	Answering Questions about Data Visualizations using Efficient Bimodal Fusion. WACV Kushal Kafle, Robik Shrestha, Brian L. Price, Scott Cohen, Christopher Kanan
2020	J	`jnl`	Do We Need Fully Connected Output Layers in Convolutional Networks? CoRR Zhongchao Qian, Tyler L. Hayes, Kushal Kafle, Christopher Kanan
2020	—	`conf`	Improved Robustness to Open Set Inputs via Tempered Mixup. ECCV Workshops (1) Ryne Roady, Tyler L. Hayes, Christopher Kanan
2020	J	`jnl`	Improved Robustness to Open Set Inputs via Tempered Mixup. CoRR Ryne Roady, Tyler L. Hayes, Christopher Kanan
2020	—	`conf`	Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis. CVPR Workshops Tyler L. Hayes, Christopher Kanan
2020	A*	`conf`	On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law. NeurIPS Damien Teney, Ehsan Abbasnejad, Kushal Kafle, Robik Shrestha, Christopher Kanan, Anton van den Hengel
2020	J	`jnl`	On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law. CoRR Damien Teney, Kushal Kafle, Robik Shrestha, Ehsan Abbasnejad, Christopher Kanan, Anton van den Hengel
2020	—	`conf`	REMIND Your Neural Network to Prevent Catastrophic Forgetting. ECCV (8) Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan
2020	A	`conf`	RODEO: Replay for Online Object Detection. BMVC Manoj Acharya, Tyler L. Hayes, Christopher Kanan
2020	J	`jnl`	RODEO: Replay for Online Object Detection. CoRR Manoj Acharya, Tyler L. Hayes, Christopher Kanan
2020	—	`conf`	Stream-51: Streaming Classification and Novelty Detection from Videos. CVPR Workshops Ryne Roady, Tyler L. Hayes, Hitesh Vaidya, Christopher Kanan
2020	—	`conf`	Uncertainty Estimation for Semantic Segmentation of Hyperspectral Imagery. DDDAS Aneesh Rangnekar, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman
2019	J	`jnl`	AeroRIT: A New Scene for Hyperspectral Image Analysis. CoRR Aneesh Rangnekar, Nilay Mokashi, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman
2019	A*	`conf`	Answer Them All! Toward Universal Visual Question Answering Models. CVPR Robik Shrestha, Kushal Kafle, Christopher Kanan
2019	J	`jnl`	Answer Them All! Toward Universal Visual Question Answering Models. CoRR Robik Shrestha, Kushal Kafle, Christopher Kanan
2019	J	`jnl`	Answering Questions about Data Visualizations using Efficient Bimodal Fusion. CoRR Kushal Kafle, Robik Shrestha, Brian L. Price, Scott Cohen, Christopher Kanan
2019	J	`jnl`	Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets? CoRR Ryne Roady, Tyler L. Hayes, Ronald Kemker, Ayesha Gonzales, Christopher Kanan
2019	J	`jnl`	Challenges and Prospects in Vision and Language Research. CoRR Kushal Kafle, Robik Shrestha, Christopher Kanan
2019	J	`jnl`	Challenges and Prospects in Vision and Language Research. Frontiers Artif. Intell. Kushal Kafle, Robik Shrestha, Christopher Kanan
2019	J	`jnl`	Continual lifelong learning with neural networks: A review. Neural Networks German Ignacio Parisi, Ronald Kemker, Jose L. Part, Christopher Kanan, Stefan Wermter
2019	J	`jnl`	Gaze-in-wild: A dataset for studying eye and head coordination in everyday activities. CoRR Rakshit Sunil Kothari, Zhizhuo Yang, Christopher Kanan, Reynold Bailey, Jeff B. Pelz, Gabriel J. Diaz
2019	J	`jnl`	Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis. CoRR Tyler L. Hayes, Christopher Kanan
2019	A*	`conf`	Memory Efficient Experience Replay for Streaming Learning. ICRA Tyler L. Hayes, Nathan D. Cahill, Christopher Kanan
2019	J	`jnl`	REMIND Your Neural Network to Prevent Catastrophic Forgetting. CoRR Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan
2019	—	`conf`	RITnet: Real-time Semantic Segmentation of the Eye for Gaze Tracking. ICCV Workshops Aayush K. Chaudhary, Rakshit Sunil Kothari, Manoj Acharya, Shusil Dangi, Nitinraj Nair, Reynold Bailey, Christopher Kanan, Gabriel J. Diaz, Jeff B. Pelz
2019	J	`jnl`	RITnet: Real-time Semantic Segmentation of the Eye for Gaze Tracking. CoRR Aayush K. Chaudhary, Rakshit Sunil Kothari, Manoj Acharya, Shusil Dangi, Nitinraj Nair, Reynold Bailey, Christopher Kanan, Gabriel J. Diaz, Jeff B. Pelz
2019	J	`jnl`	Rethinking Continual Learning for Autonomous Agents and Robots. CoRR German Ignacio Parisi, Christopher Kanan
2019	A*	`conf`	TallyQA: Answering Complex Counting Questions. AAAI Manoj Acharya, Kushal Kafle, Christopher Kanan
2019	J	`jnl`	Towards calibrated and scalable uncertainty representations for neural networks. CoRR Nabeel Seedat, Christopher Kanan
2019	—	`conf`	VQD: Visual Query Detection In Natural Scenes. NAACL-HLT (1) Manoj Acharya, Karan Jariwala, Christopher Kanan
2019	J	`jnl`	VQD: Visual Query Detection in Natural Scenes. CoRR Manoj Acharya, Karan Jariwala, Christopher Kanan
2018	B	`conf`	Characterizing the Temporal Dynamics of Information in Visually Guided Predictive Control Using LSTM Recurrent Neural Networks. CogSci Kamran Binaee, Anna Starynska, Jeff B. Pelz, Christopher Kanan, Gabriel J. Diaz
2018	J	`jnl`	Characterizing the Temporal Dynamics of Information in Visually Guided Predictive Control Using LSTM Recurrent Neural Networks. CoRR Kamran Binaee, Anna Starynska, Jeff B. Pelz, Christopher Kanan, Gabriel Jacob Diaz
2018	J	`jnl`	Continual Lifelong Learning with Neural Networks: A Review. CoRR German Ignacio Parisi, Ronald Kemker, Jose L. Part, Christopher Kanan, Stefan Wermter
2018	A*	`conf`	DVQA: Understanding Data Visualizations via Question Answering. CVPR Kushal Kafle, Brian L. Price, Scott Cohen, Christopher Kanan
2018	J	`jnl`	DVQA: Understanding Data Visualizations via Question Answering. CoRR Kushal Kafle, Scott Cohen, Brian L. Price, Christopher Kanan
2018	J	`jnl`	EarthMapper: A Tool Box for the Semantic Segmentation of Remote Sensing Imagery. CoRR Ronald Kemker, Utsav B. Gewali, Christopher Kanan
2018	—	`conf`	FearNet: Brain-Inspired Model for Incremental Learning. ICLR (Poster) Ronald Kemker, Christopher Kanan
2018	J	`jnl`	Low-Shot Learning for the Semantic Segmentation of Remote Sensing Imagery. CoRR Ronald Kemker, Ryan Luu, Christopher Kanan
2018	J	`jnl`	Low-Shot Learning for the Semantic Segmentation of Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. Ronald Kemker, Ryan Luu, Christopher Kanan
2018	A*	`conf`	Measuring Catastrophic Forgetting in Neural Networks. AAAI Ronald Kemker, Marc McClure, Angelina Abitino, Tyler L. Hayes, Christopher Kanan
2018	J	`jnl`	Memory Efficient Experience Replay for Streaming Learning. CoRR Tyler L. Hayes, Nathan D. Cahill, Christopher Kanan
2018	—	`conf`	New Metrics and Experimental Paradigms for Continual Learning. CVPR Workshops Tyler L. Hayes, Ronald Kemker, Nathan D. Cahill, Christopher Kanan
2018	J	`jnl`	TallyQA: Answering Complex Counting Questions. CoRR Manoj Acharya, Kushal Kafle, Christopher Kanan
2017	J	`jnl`	Aerial Spectral Super-Resolution using Conditional Adversarial Networks. CoRR Aneesh Rangnekar, Nilay Mokashi, Emmett J. Ientilucci, Christopher Kanan, Matthew J. Hoffman
2017	A*	`conf`	An Analysis of Visual Question Answering Algorithms. ICCV Kushal Kafle, Christopher Kanan
2017	J	`jnl`	An Analysis of Visual Question Answering Algorithms. CoRR Kushal Kafle, Christopher Kanan
2017	—	`conf`	Convolutional Drift Networks for Video Classification. ICRC Dillon Graham, Seyed Hamed Fatemi Langroudi, Christopher Kanan, Dhireesha Kudithipudi
2017	J	`jnl`	Convolutional Drift Networks for Video Classification. CoRR Dillon Graham, Seyed Hamed Fatemi Langroudi, Christopher Kanan, Dhireesha Kudithipudi
2017	B	`conf`	Data Augmentation for Visual Question Answering. INLG Kushal Kafle, Mohammed A. Yousefhussien, Christopher Kanan
2017	J	`jnl`	Deep Neural Networks for Semantic Segmentation of Multispectral Remote Sensing Imagery. CoRR Ronald Kemker, Christopher Kanan
2017	J	`jnl`	FearNet: Brain-Inspired Model for Incremental Learning. CoRR Ronald Kemker, Christopher Kanan
2017	J	`jnl`	High-Resolution Multispectral Dataset for Semantic Segmentation. CoRR Ronald Kemker, Carl Salvaggio, Christopher Kanan
2017	J	`jnl`	Measuring Catastrophic Forgetting in Neural Networks. CoRR Ronald Kemker, Angelina Abitino, Marc McClure, Christopher Kanan
2017	J	`jnl`	Predicting Top-of-Atmosphere Thermal Radiance Using MERRA-2 Atmospheric Data with Deep Learning. Remote. Sens. Tania Kleynhans, Matthew Montanaro, Aaron Gerace, Christopher Kanan
2017	A	`conf`	Robotic grasp detection using deep convolutional neural networks. IROS Sulabh Kumra, Christopher Kanan
2017	—	`conf`	Roof Damage Assessment using Deep Learning. AIPR Mahshad Mahdavi Hezaveh, Christopher Kanan, Carl Salvaggio
2017	J	`jnl`	Self-Taught Feature Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Ronald Kemker, Christopher Kanan
2017	J	`jnl`	Visual question answering: Datasets, algorithms, and future challenges. Comput. Vis. Image Underst. Kushal Kafle, Christopher Kanan
2016	A*	`conf`	Answer-Type Prediction for Visual Question Answering. CVPR Kushal Kafle, Christopher Kanan
2016	A	`conf`	Online tracking using saliency. WACV Mohammed A. Yousefhussien, N. Andrew Browning, Christopher Kanan
2016	J	`jnl`	Robotic Grasp Detection using Deep Convolutional Neural Networks. CoRR Sulabh Kumra, Christopher Kanan
2016	J	`jnl`	Visual Question Answering: Datasets, Algorithms, and Future Challenges. CoRR Kushal Kafle, Christopher Kanan
2015	B	`conf`	Modeling the Object Recognition Pathway: A Deep Hierarchical Model Using Gnostic Fields. CogSci Panqu Wang, Garrison W. Cottrell, Christopher Kanan
2015	—	`conf`	VAIS: A dataset for recognizing maritime imagery in the visible and infrared spectrums. CVPR Workshops Mabel M. Zhang, Jean Choi, Kostas Daniilidis, Michael T. Wolf, Christopher Kanan
2014	A	`conf`	Fine-grained object recognition with Gnostic Fields. WACV Christopher Kanan
2014	B	`conf`	Predicting an observer's task using multi-fixation pattern analysis. ETRA Christopher Kanan, Nicholas A. Ray, Dina N. F. Bseiso, Janet Hui-wen Hsiao, Garrison W. Cottrell
2013	—	`—`	In defense of brain-inspired cognitive models. Christopher Kanan
2012	J	`jnl`	Turing: Beyond the original concept. Nat. Christopher Kanan
2010	—	`conf`	Color Constancy Algorithms for Object and Face Recognition. ISVC (1) Christopher Kanan, Arturo Flores, Garrison W. Cottrell
2010	A*	`conf`	Robust classification of objects, faces, and flowers using natural image statistics. CVPR Christopher Kanan, Garrison W. Cottrell