Kanan, Christopher

37 publications

ICML 2025 Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning Md Yousuf Harun, Jhair Gallardo, Christopher Kanan

ICML 2025 Dynamic Sparse Training of Diagonally Sparse Networks Abhishek Tyagi, Arjun Iyer, William H Renninger, Christopher Kanan, Yuhao Zhu

MLHC 2025 INSIGHT: Explainable Weakly-Supervised Medical Image Analysis Wenbo Zhang, Junyu Chen, Christopher Kanan

CVPRW 2025 Revisiting Multi-Modal LLM Evaluation Jian Lu, Shikhar Srivastava, Junyu Chen, Robik Shrestha, Manoj Acharya, Kushal Kafle, Christopher Kanan

ICLRW 2025 Revisiting Multi-Modal LLM Evaluation Jian Lu, Shikhar Srivastava, Junyu Chen, Robik Singh Shrestha, Manoj Acharya, Kushal Kafle, Christopher Kanan

TMLR 2024 Continual Learning: Applications and the Road Forward 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

CoLLAs 2024 GRASP: A Rehearsal Policy for Efficient Online Continual Learning Md Yousuf Harun, Jhair Gallardo, Junyu Chen, Christopher Kanan

NeurIPSW 2024 Improving Multimodal Large Language Models Using Continual Learning Shikhar Srivastava, Md Yousuf Harun, Robik Singh Shrestha, Christopher Kanan

TMLR 2024 Overcoming the Stability Gap in Continual Learning Md Yousuf Harun, Christopher Kanan

NeurIPS 2024 What Variables Affect Out-of-Distribution Generalization in Pretrained Models? Md Yousuf Harun, Kyungbok Lee, Jhair Gallardo, Giri Krishnan, Christopher Kanan

CVPRW 2023 How Efficient Are Today's Continual Learning Algorithms? Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Christopher Kanan

TMLR 2023 SIESTA: Efficient Online Continual Learning with Sleep Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Ronald Kemker, Christopher Kanan

WACV 2023 Semantic Segmentation with Active Semi-Supervised Learning Aneesh Rangnekar, Christopher Kanan, Matthew Hoffman

WACV 2022 An Investigation of Critical Issues in Bias Mitigation Techniques Robik Shrestha, Kushal Kafle, Christopher Kanan

IJCAI 2022 Detecting Out-of-Context Objects Using Graph Contextual Reasoning Network Manoj Acharya, Anirban Roy, Kaushik Koneripalli, Susmit Jha, Christopher Kanan, Ajay Divakaran

CoLLAs 2022 Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2 Zachary Alan Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael Piacentino, Ajay Divakaran, Roberto Corizzo, Kamil Faber, Nathalie Japkowicz, Michael Baron, James Smith, Sahana Pramod Joshi, Zsolt Kira, Cameron Ethan Taylor, Mustafa Burak Gurbuz, Constantine Dovrolis, Tyler L. Hayes, Christopher Kanan, Jhair Gallardo

ECCV 2022 OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses Robik Shrestha, Kushal Kafle, Christopher Kanan

CoLLAs 2022 Online Continual Learning for Embedded Devices Tyler L. Hayes, Christopher Kanan

CVPRW 2021 Avalanche: An End-to-End Library for Continual Learning 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

CVPRW 2021 Selective Replay Enhances Learning in Online Continual Analogical Reasoning Tyler L. Hayes, Christopher Kanan

WACV 2020 Answering Questions About Data Visualizations Using Efficient Bimodal Fusion Kushal Kafle, Robik Shrestha, Scott Cohen, Brian Price, Christopher Kanan

ECCVW 2020 Improved Robustness to Open Set Inputs via Tempered Mixup Ryne Roady, Tyler L. Hayes, Christopher Kanan

CVPRW 2020 Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Tyler L. Hayes, Christopher Kanan

NeurIPS 2020 On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law Damien Teney, Ehsan Abbasnejad, Kushal Kafle, Robik Shrestha, Christopher Kanan, Anton van den Hengel

ECCV 2020 REMIND Your Neural Network to Prevent Catastrophic Forgetting Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan

CVPRW 2020 Stream-51: Streaming Classification and Novelty Detection from Videos Ryne Roady, Tyler L. Hayes, Hitesh Vaidya, Christopher Kanan

ICCVW 2019 RITnet: Real-Time Semantic Segmentation of the Eye for Gaze Tracking Aayush K. Chaudhary, Rakshit Sunil Kothari, Manoj Acharya, Shusil Dangi, Nitinraj Nair, Reynold Bailey, Christopher Kanan, Gabriel J. Diaz, Jeff B. Pelz

AAAI 2019 TallyQA: Answering Complex Counting Questions Manoj Acharya, Kushal Kafle, Christopher Kanan

ICLR 2018 FearNet: Brain-Inspired Model for Incremental Learning Ronald Kemker, Christopher Kanan

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

CVPRW 2018 New Metrics and Experimental Paradigms for Continual Learning Tyler L. Hayes, Ronald Kemker, Nathan D. Cahill, Christopher Kanan

ICCV 2017 An Analysis of Visual Question Answering Algorithms Kushal Kafle, Christopher Kanan

CVPR 2016 Answer-Type Prediction for Visual Question Answering Kushal Kafle, Christopher Kanan

WACV 2016 Online Tracking Using Saliency Mohammed A. Yousefhussien, N. Andrew Browning, Christopher Kanan

CVPRW 2015 VAIS: A Dataset for Recognizing Maritime Imagery in the Visible and Infrared Spectrums Mabel M. Zhang, Jean Choi, Kostas Daniilidis, Michael T. Wolf, Christopher Kanan

WACV 2014 Fine-Grained Object Recognition with Gnostic Fields Christopher Kanan

CVPR 2010 Robust Classification of Objects, Faces, and Flowers Using Natural Image Statistics Christopher Kanan, Garrison W. Cottrell