Visualizing Deep Neural Network Decisions: Prediction Difference Analysis

15 February 2017

Papers citing "Visualizing Deep Neural Network Decisions: Prediction Difference Analysis"

28 / 328 papers shown

Title
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 17 3,900 0 06 Feb 2018
Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos Hugo Jair Escalante Heysem Kaya A. A. Salah Sergio Escalera Yağmur Güçlütürk ... Furkan Gürpinar Achmadnoer Sukma Wicaksana Cynthia C. S. Liem Marcel van Gerven R. Lier 20 61 0 02 Feb 2018
Visual Interpretability for Deep Learning: a Survey Quanshi Zhang Song-Chun Zhu FaML HAI 17 809 0 02 Feb 2018
Understanding Deep Architectures by Visual Summaries Marco Carletti Marco Godi Maedeh Aghaei Francesco Giuliari Marco Cristani 3DH FAtt 19 1 0 27 Jan 2018
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers Fred Hohman Minsuk Kahng Robert S. Pienta Duen Horng Chau OOD HAI 19 537 0 21 Jan 2018
Evaluating neural network explanation methods using hybrid documents and morphological agreement Nina Pörner Benjamin Roth Hinrich Schütze 4 9 0 19 Jan 2018
Efficient Image Evidence Analysis of CNN Classification Results Keyang Zhou Bernhard Kainz AAML FAtt 14 4 0 05 Jan 2018
Dropout Feature Ranking for Deep Learning Models C. Chang Ladislav Rampášek Anna Goldenberg OOD 12 48 0 22 Dec 2017
An Introduction to Deep Visual Explanation H. Babiker Randy Goebel FAtt AAML 22 19 0 26 Nov 2017
Relating Input Concepts to Convolutional Neural Network Decisions Ning Xie Md Kamruzzaman Sarker Derek Doran Pascal Hitzler M. Raymer FAtt 18 15 0 21 Nov 2017
Autoencoder Node Saliency: Selecting Relevant Latent Representations Y. Fan 19 29 0 21 Nov 2017
Using KL-divergence to focus Deep Visual Explanation H. Babiker Randy Goebel FAtt 28 12 0 17 Nov 2017
Towards better understanding of gradient-based attribution methods for Deep Neural Networks Marco Ancona Enea Ceolini Cengiz Öztireli Markus Gross FAtt 14 145 0 16 Nov 2017
The (Un)reliability of saliency methods Pieter-Jan Kindermans Sara Hooker Julius Adebayo Maximilian Alber Kristof T. Schütt Sven Dähne D. Erhan Been Kim FAtt XAI 17 677 0 02 Nov 2017
Human Understandable Explanation Extraction for Black-box Classification Models Based on Matrix Factorization Jaedeok Kim Ji-Hoon Seo FAtt 13 8 0 18 Sep 2017
Machine learning methods for histopathological image analysis D. Komura S. Ishikawa 11 692 0 04 Sep 2017
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models Wojciech Samek Thomas Wiegand K. Müller XAI VLM 34 1,172 0 28 Aug 2017
CNN Fixations: An unraveling approach to visualize the discriminative image regions Konda Reddy Mopuri Utsav Garg R. Venkatesh Babu AAML 14 56 0 22 Aug 2017
Self-explanatory Deep Salient Object Detection Huaxin Xiao Jiashi Feng Yunchao Wei Maojun Zhang XAI FAtt 20 9 0 18 Aug 2017
Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples Yinpeng Dong Hang Su Jun Zhu Fan Bao AAML 14 126 0 18 Aug 2017
Modeling Latent Attention Within Neural Networks Christopher Grimm Dilip Arumugam Siddharth Karamcheti David Abel Lawson L. S. Wong Michael L. Littman 13 1 0 02 Jun 2017
Towards Interrogating Discriminative Machine Learning Models Wenbo Guo Kaixuan Zhang Lin Lin Sui Huang Xinyu Xing FaML 13 4 0 23 May 2017
Learning how to explain neural networks: PatternNet and PatternAttribution Pieter-Jan Kindermans Kristof T. Schütt Maximilian Alber K. Müller D. Erhan Been Kim Sven Dähne XAI FAtt 16 337 0 16 May 2017
Understanding the Feedforward Artificial Neural Network Model From the Perspective of Network Flow Dawei Dai Weimin Tan Hong Zhan 8 12 0 26 Apr 2017
Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks Devinder Kumar Alexander Wong Graham W. Taylor 21 59 0 13 Apr 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 10 3,814 0 10 Apr 2017
Improving Interpretability of Deep Neural Networks with Semantic Information Yinpeng Dong Hang Su Jun Zhu Bo Zhang 11 120 0 12 Mar 2017
VisualBackProp: efficient visualization of CNNs Mariusz Bojarski A. Choromańska K. Choromanski Bernhard Firner L. Jackel Urs Muller Karol Zieba FAtt 20 74 0 16 Nov 2016