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Joshua V. Dillon

  1. Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
    2019/06/06 by Yaniv Ovadia, Ovadia, Yaniv, Emily Fertig +15 · 115 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Gaussian Processes and Bayesian Inference #Anomaly Detection Techniques and Applications
  2. TensorFlow Distributions
    2017/11/28 by Joshua V. Dillon, Dillon, Joshua V., Ian Langmore +17 · 1 voice · 9 citations
    Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Programming Languages (cs.PL) #cs.AI #cs.LG #cs.PL #stat.ML
  3. Likelihood Ratios for Out-of-Distribution Detection
    2019/06/07 by Jie Ren, Ren, Jie, Peter J. Liu +13 · 23 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Genomics and Phylogenetic Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Bioinformatics
  4. Sample what you cant compress
    2024/09/04 by Vighnesh Birodkar, Birodkar, Vighnesh, Gabriel Barcik +9 · 1 voice · 1 citation
    #cs.LG #cs.CV
  5. Density of States Estimation for Out-of-Distribution Detection
    2020/06/16 by Warren R. Morningstar, Cusuh Ham, Morningstar, Warren R. +9 · 7 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  6. The k-tied Normal Distribution: A Compact Parameterization of Gaussian\n Mean Field Posteriors in Bayesian Neural Networks
    2020/02/07 by Jakub Świątkowski, Swiatkowski, Jakub, Kevin A. Roth +17 · 5 citations
    Computer Science · #Bayesian Methods and Mixture Models #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  7. Weighted Ensemble Self-Supervised Learning
    2022/11/18 by Yangjun Ruan, Ruan, Yangjun, Saurabh Singh +11 · 3 citations
    Computer Science · Medicine · #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
  8. Automatically Bounding the Taylor Remainder Series: Tighter Bounds and New Applications
    2022/12/22 by M. J. V. Streeter, Joshua V. Dillon, Streeter, Matthew +1 · 1 citation
    Computer Science · Mathematics · #Advanced Optimization Algorithms Research #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Methods and Algorithms #Optimization and Control (math.OC) #Polynomial and algebraic computation