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

Li, Fuxin

  1. Adversarial Examples Detection in Deep Networks with Convolutional Filter Statistics
    2016/12/22 by Li, Xin, Li, Fuxin · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  2. Counterfactual States for Atari Agents via Generative Deep Learning
    2019/09/27 by Matthew Olson, Olson, Matthew L., Lawrence Neal +5 · 3 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #Reinforcement Learning in Robotics #Generative Adversarial Networks and Image Synthesis
  3. iGOS++: Integrated Gradient Optimized Saliency by Bilateral Perturbations
    2020/12/31 by Saeed Khorram, Tyler Lawson, Khorram, Saeed +3 · 1 citation
    Computer Science · Materials Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning in Materials Science #electronic engineering #information engineering
  4. Interactive Naming for Explaining Deep Neural Networks: A Formative\n Study
    2018/12/17 by Mandana Hamidi‐Haines, Hamidi-Haines, Mandana, Zhongang Qi +7 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Adversarial Robustness in Machine Learning #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical and Computational Modeling
  5. Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA
    2024/10/31 by David Smerkous, Smerkous, David, Qinxun Bai +3 · 1 citation
    Computer Science · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Neural Networks and Applications