DORA: Exploring Outlier Representations in Deep Neural Networks

DORA: Exploring Outlier Representations in Deep Neural Networks

9 June 2022

Dennis Grinwald

Klaus-Robert Muller

Marina M.-C. Höhne

Papers citing "DORA: Exploring Outlier Representations in Deep Neural Networks"

14 / 14 papers shown

Title
CoSy: Evaluating Textual Explanations of Neurons Laura Kopf P. Bommer Anna Hedström Sebastian Lapuschkin Marina M.-C. Höhne Kirill Bykov 44 7 0 30 May 2024
Federated Learning over Connected Modes Dennis Grinwald Philipp Wiesner Shinichi Nakajima FedML 45 0 0 05 Mar 2024
Manipulating Feature Visualizations with Gradient Slingshots Dilyara Bareeva Marina M.-C. Höhne Alexander Warnecke Lukas Pirch Klaus-Robert Müller Konrad Rieck Kirill Bykov AAML 40 6 0 11 Jan 2024
Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations Maximilian Dreyer Reduan Achtibat Wojciech Samek Sebastian Lapuschkin 32 10 0 28 Nov 2023
Labeling Neural Representations with Inverse Recognition Kirill Bykov Laura Kopf Shinichi Nakajima Marius Kloft Marina M.-C. Höhne BDL 27 15 0 22 Nov 2023
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks Lorenz Linhardt Klaus-Robert Muller G. Montavon AAML 26 7 0 12 Apr 2023
Mark My Words: Dangers of Watermarked Images in ImageNet Kirill Bykov Klaus-Robert Muller Marina M.-C. Höhne 43 4 0 09 Mar 2023
Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science P. Bommer M. Kretschmer Anna Hedström Dilyara Bareeva Marina M.-C. Höhne 46 38 0 01 Mar 2023
Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces Pattarawat Chormai J. Herrmann Klaus-Robert Muller G. Montavon FAtt 48 17 0 30 Dec 2022
Natural Language Descriptions of Deep Visual Features Evan Hernandez Sarah Schwettmann David Bau Teona Bagashvili Antonio Torralba Jacob Andreas MILM 204 117 0 26 Jan 2022
Visualizing the Diversity of Representations Learned by Bayesian Neural Networks Dennis Grinwald Kirill Bykov Shinichi Nakajima Marina M.-C. Höhne 29 5 0 26 Jan 2022
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,198 0 01 Sep 2014
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 269 31,267 0 16 Jan 2013