Why ReLU networks yield high-confidence predictions far away from the
training data and how to mitigate the problem

v1v2 (latest)

Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem

13 December 2018

Matthias Hein

Maksym Andriushchenko

Julian Bitterwolf

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Papers citing "Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem"

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Title
Playing it Safe: Adversarial Robustness with an Abstain Option Cassidy Laidlaw Soheil Feizi AAML 166 20 0 25 Nov 2019
Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer Output Vahdat Abdelzad Krzysztof Czarnecki Rick Salay Taylor Denouden Sachin Vernekar Buu Phan OODD 181 48 0 23 Oct 2019
Toward Metrics for Differentiating Out-of-Distribution SetsEuropean Conference on Artificial Intelligence (ECAI), 2019 Mahdieh Abbasi Changjian Shui Arezoo Rajabi Christian Gagné R. Bobba OODD 179 4 0 18 Oct 2019
Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks David Stutz Matthias Hein Bernt Schiele AAML 261 5 0 14 Oct 2019
Out-of-distribution Detection in Classifiers via Generation Sachin Vernekar Ashish Gaurav Vahdat Abdelzad Taylor Denouden Rick Salay Krzysztof Czarnecki OODD 235 85 0 09 Oct 2019
Towards neural networks that provably know when they don't knowInternational Conference on Learning Representations (ICLR), 2019 Alexander Meinke Matthias Hein OODD 220 147 0 26 Sep 2019
Model-Based and Data-Driven Strategies in Medical Image ComputingProceedings of the IEEE (Proc. IEEE), 2019 Daniel Rueckert Julia A. Schnabel OOD MedIm AI4CE 138 53 0 23 Sep 2019
Generating Accurate Pseudo-labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial ActivationsComputer Vision and Pattern Recognition (CVPR), 2019 Vishnu Suresh Lokhande Songwong Tasneeyapant Abhay Venkatesh Sathya Ravi Vikas Singh 145 30 0 12 Sep 2019
Entropic Out-of-Distribution DetectionIEEE International Joint Conference on Neural Network (IJCNN), 2019 David Macêdo T. I. Ren Cleber Zanchettin Adriano Oliveira Teresa B Ludermir OODD UQCV 415 37 0 15 Aug 2019
Interpretable Image Recognition with Hierarchical PrototypesAAAI Conference on Human Computation & Crowdsourcing (HCOMP), 2019 Peter Hase Chaofan Chen Oscar Li Cynthia Rudin VLM 236 127 0 25 Jun 2019
Non-Parametric Calibration for ClassificationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Jonathan Wenger Hedvig Kjellström Rudolph Triebel UQCV 249 91 0 12 Jun 2019
Provably Robust Boosted Decision Stumps and Trees against Adversarial AttacksNeural Information Processing Systems (NeurIPS), 2019 Maksym Andriushchenko Matthias Hein 187 66 0 08 Jun 2019
Analysis of Confident-Classifiers for Out-of-distribution Detection Sachin Vernekar Ashish Gaurav Taylor Denouden Buu Phan Vahdat Abdelzad Rick Salay Krzysztof Czarnecki OODD 175 18 0 27 Apr 2019
Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval Task Kenta Hama Takashi Matsubara K. Uehara Jianfei Cai BDL UQCV 135 6 0 09 Apr 2019
A witness function based construction of discriminative models using Hermite polynomials H. Mhaskar A. Cloninger Xiuyuan Cheng 202 9 0 10 Jan 2019