vix.ing · top · new · best · stats · spec

Christopher Kanan

  1. Measuring Catastrophic Forgetting in Neural Networks
    2017/08/07 by Ronald Kemker, Kemker, Ronald, Marc McClure +7 · 62 citations
    Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Advanced Image and Video Retrieval Techniques
  2. DVQA: Understanding Data Visualizations via Question Answering
    2018/01/24 by Kushal Kafle, Kafle, Kushal, Brian Price +5 · 55 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR) #Multimodal Machine Learning Applications #Topic Modeling
  3. TallyQA: Answering Complex Counting Questions
    2018/10/29 by Manoj Acharya, Acharya, Manoj, Kushal Kafle +3 · 36 citations
    Computer Science · #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning
  4. FearNet: Brain-Inspired Model for Incremental Learning
    2017/11/28 by Ronald Kemker, Christopher Kanan, Kemker, Ronald +1 · 27 citations
    Neuroscience · Computer Science · #Memory and Neural Mechanisms #Domain Adaptation and Few-Shot Learning #Machine Learning in Healthcare
  5. An Analysis of Visual Question Answering Algorithms
    2017/03/28 by Kushal Kafle, Kafle, Kushal, Christopher Kanan +1 · 12 citations
    Computer Science · #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning
  6. PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology
    2024/05/16 by George Shaikovski, Adam Casson, Shaikovski, George +41 · 19 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #AI in cancer detection #Biomedical Text Mining and Ontologies #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  7. REMIND Your Neural Network to Prevent Catastrophic Forgetting
    2019/10/06 by Tyler L. Hayes, Kushal Kafle, Hayes, Tyler L. +7 · 9 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE)
  8. Virchow: A Million-Slide Digital Pathology Foundation Model
    2023/09/14 by Eugene Vorontsov, Vorontsov, Eugene, Alican Bozkurt +52 · 13 citations
    Computer Science · Medicine · #AI in cancer detection #Radiomics and Machine Learning in Medical Imaging #Digital Imaging for Blood Diseases
  9. Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis
    2019/09/04 by Tyler L. Hayes, Hayes, Tyler L., Christopher Kanan +1 · 6 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Data Stream Mining Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  10. Replay in Deep Learning: Current Approaches and Missing Biological Elements
    2021/04/01 by Tyler L. Hayes, Giri P. Krishnan, Hayes, Tyler L. +9 · 3 citations
    Neuroscience · Psychology · #Artificial Intelligence (cs.AI) #EEG and Brain-Computer Interfaces #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neurons and Cognition (q-bio.NC) #Sleep and Wakefulness Research #Sleep and related disorders
  11. Self-Supervised Training Enhances Online Continual Learning
    2021/03/25 by Jhair Gallardo, Gallardo, Jhair, Tyler L. Hayes +3 · 2 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and Data Classification #Multimodal Machine Learning Applications
  12. Semantic Segmentation with Active Semi-Supervised Learning
    2022/03/21 by Aneesh Rangnekar, Rangnekar, Aneesh, Christopher Kanan +3 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and Algorithms #Machine Learning and Data Classification
  13. Rethinking Continual Learning for Autonomous Agents and Robots
    2019/07/02 by German I. Parisi, Parisi, German I., Christopher Kanan +1 · 2 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Artificial Intelligence Applications
  14. BloomVQA: Assessing Hierarchical Multi-modal Comprehension
    2023/12/20 by Yunye Gong, Robik Shrestha, Gong, Yunye +11 · 2 citations
    Computer Science · Psychology · #Topic Modeling #Educational Strategies and Epistemologies
  15. Answering Questions about Data Visualizations using Efficient Bimodal Fusion
    2019/08/05 by Kushal Kafle, Kafle, Kushal, Robik Shrestha +7 · 1 citation
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Video Analysis and Summarization
  16. Towards calibrated and scalable uncertainty representations for neural networks
    2019/10/28 by Nabeel Seedat, Seedat, Nabeel, Christopher Kanan +1 · 1 citation
    Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
  17. Clinical Validation of Artificial Intelligence–Augmented Pathology Diagnosis Demonstrates Significant Gains in Diagnostic Accuracy in Prostate Cancer Detection
    2022/12/20 by Patricia Raciti, Jillian Sue, Juan Antonio Retámero +21 · 1 citation
    Computer Science · Medicine · #AI in cancer detection #Artificial Intelligence in Healthcare and Education #Prostate Cancer Diagnosis and Treatment
  18. What Variables Affect Out-of-Distribution Generalization in Pretrained Models?
    2024/05/23 by Md Yousuf Harun, Kyungbok Lee, Harun, Md Yousuf +7 · 1 citation
    Decision Sciences · Environmental Science · #Forecasting Techniques and Applications #demographic modeling and climate adaptation #Hydrology and Drought Analysis
  19. Continual lifelong learning with neural networks: A review
    2019/05/01 by German I. Parisi, Ronald Kemker, Jose L. Part +2 · 1 citation
  20. Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning
    2025/02/15 by Md Yousuf Harun, Harun, Md Yousuf, Jhair Gallardo +3 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)