Visualizing Deep Neural Network Decisions: Prediction Difference Analysis

15 February 2017

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

50 / 328 papers shown

Title
Building and Interpreting Deep Similarity Models Oliver Eberle Jochen Büttner Florian Kräutli K. Müller Matteo Valleriani G. Montavon 12 57 0 11 Mar 2020
What went wrong and when? Instance-wise Feature Importance for Time-series Models S. Tonekaboni Shalmali Joshi Kieran Campbell D. Duvenaud Anna Goldenberg FAtt OOD AI4TS 49 14 0 05 Mar 2020
SAM: The Sensitivity of Attribution Methods to Hyperparameters Naman Bansal Chirag Agarwal Anh Nguyen FAtt 8 0 0 04 Mar 2020
Transformation Importance with Applications to Cosmology Chandan Singh Wooseok Ha F. Lanusse V. Boehm Jia-Wei Liu Bin Yu AI4CE 9 11 0 04 Mar 2020
Interpretability of machine learning based prediction models in healthcare Gregor Stiglic Primož Kocbek Nino Fijačko Marinka Zitnik K. Verbert Leona Cilar AI4CE 14 371 0 20 Feb 2020
Being Bayesian about Categorical Probability Taejong Joo U. Chung Minji Seo UQCV BDL 12 58 0 19 Feb 2020
Explainable Deep Modeling of Tabular Data using TableGraphNet G. Terejanu Jawad Chowdhury Rezaur Rashid Asif J. Chowdhury LMTD FAtt 6 3 0 12 Feb 2020
Explaining with Counter Visual Attributes and Examples Sadaf Gulshad A. Smeulders XAI FAtt AAML 23 15 0 27 Jan 2020
Evaluating Weakly Supervised Object Localization Methods Right Junsuk Choe Seong Joon Oh Seungho Lee Sanghyuk Chun Zeynep Akata Hyunjung Shim WSOL 285 186 0 21 Jan 2020
Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classified Takuma Shibahara Chisa Wada Yasuho Yamashita Kazuhiro A. Fujita Masamichi Sato Junichi Kuwata Atsushi Okamoto Yoshimasa Ono 21 7 0 20 Jan 2020
CheXplain: Enabling Physicians to Explore and UnderstandData-Driven, AI-Enabled Medical Imaging Analysis Yao Xie Melody Chen David Kao Ge Gao Xiang Ánthony' Chen 23 125 0 15 Jan 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 30 300 0 08 Jan 2020
Dissecting Catastrophic Forgetting in Continual Learning by Deep Visualization Giang Nguyen Shuan Chen T. Do Tae Joon Jun Ho-Jin Choi Daeyoung Kim 11 10 0 06 Jan 2020
Explain and Improve: LRP-Inference Fine-Tuning for Image Captioning Models Jiamei Sun Sebastian Lapuschkin Wojciech Samek Alexander Binder FAtt 31 29 0 04 Jan 2020
Finding and Removing Clever Hans: Using Explanation Methods to Debug and Improve Deep Models Christopher J. Anders Talmaj Marinc David Neumann Wojciech Samek K. Müller Sebastian Lapuschkin AAML 24 20 0 22 Dec 2019
On the Explanation of Machine Learning Predictions in Clinical Gait Analysis D. Slijepcevic Fabian Horst Sebastian Lapuschkin Anna-Maria Raberger Matthias Zeppelzauer Wojciech Samek C. Breiteneder W. Schöllhorn B. Horsak 19 50 0 16 Dec 2019
Peek Inside the Closed World: Evaluating Autoencoder-Based Detection of DDoS to Cloud Hang Guo Xun Fan Anh Cao G. Outhred J. Heidemann 14 3 0 11 Dec 2019
Deep Relevance Regularization: Interpretable and Robust Tumor Typing of Imaging Mass Spectrometry Data Christian Etmann Maximilian Schmidt Jens Behrmann T. Boskamp Lena Hauberg-Lotte Annette Peter R. Casadonte J. Kriegsmann Peter Maass OOD 10 2 0 10 Dec 2019
Explainable artificial intelligence model to predict acute critical illness from electronic health records S. Lauritsen Mads Kristensen Mathias Vassard Olsen Morten Skaarup Larsen K. M. Lauritsen Marianne Johansson Jørgensen Jeppe Lange B. Thiesson 11 296 0 03 Dec 2019
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey Vanessa Buhrmester David Münch Michael Arens MLAU FaML XAI AAML 11 353 0 27 Nov 2019
Pre-Training of Deep Bidirectional Protein Sequence Representations with Structural Information Seonwoo Min Seunghyun Park Siwon Kim Hyun-Soo Choi Byunghan Lee Sungroh Yoon SSL 6 62 0 25 Nov 2019
Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks Aya Abdelsalam Ismail Mohamed K. Gunady L. Pessoa H. C. Bravo S. Feizi AI4TS 12 50 0 27 Oct 2019
CXPlain: Causal Explanations for Model Interpretation under Uncertainty Patrick Schwab W. Karlen FAtt CML 29 205 0 27 Oct 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 11 45 0 23 Oct 2019
Contextual Prediction Difference Analysis for Explaining Individual Image Classifications Jindong Gu Volker Tresp FAtt 16 8 0 21 Oct 2019
Semantics for Global and Local Interpretation of Deep Neural Networks Jindong Gu Volker Tresp AI4CE 14 14 0 21 Oct 2019
Understanding Misclassifications by Attributes Sadaf Gulshad Zeynep Akata J. H. Metzen A. Smeulders AAML 16 0 0 15 Oct 2019
Explaining image classifiers by removing input features using generative models Chirag Agarwal Anh Totti Nguyen FAtt 20 15 0 09 Oct 2019
Interpretations are useful: penalizing explanations to align neural networks with prior knowledge Laura Rieger Chandan Singh W. James Murdoch Bin Yu FAtt 17 213 0 30 Sep 2019
Decision Explanation and Feature Importance for Invertible Networks Juntang Zhuang Nicha Dvornek Xiaoxiao Li Junlin Yang James S. Duncan AAML FAtt 15 5 0 30 Sep 2019
Towards Explainable Artificial Intelligence Wojciech Samek K. Müller XAI 21 435 0 26 Sep 2019
Deep Model Transferability from Attribution Maps Jie Song Yixin Chen Xinchao Wang Chengchao Shen Mingli Song 19 54 0 26 Sep 2019
Understanding Bias in Machine Learning Jindong Gu Daniela Oelke AI4CE FaML 8 22 0 02 Sep 2019
Towards Understanding Neural Machine Translation with Word Importance Shilin He Zhaopeng Tu Xing Wang Longyue Wang Michael R. Lyu Shuming Shi AAML 18 39 0 01 Sep 2019
Saliency Methods for Explaining Adversarial Attacks Jindong Gu Volker Tresp FAtt AAML 8 30 0 22 Aug 2019
Saccader: Improving Accuracy of Hard Attention Models for Vision Gamaleldin F. Elsayed Simon Kornblith Quoc V. Le VLM 25 70 0 20 Aug 2019
Resolving challenges in deep learning-based analyses of histopathological images using explanation methods Miriam Hagele P. Seegerer Sebastian Lapuschkin M. Bockmayr Wojciech Samek Frederick Klauschen K. Müller Alexander Binder 8 161 0 15 Aug 2019
Grid Saliency for Context Explanations of Semantic Segmentation Lukas Hoyer Mauricio Muñoz P. Katiyar Anna Khoreva Volker Fischer FAtt 12 48 0 30 Jul 2019
How to Manipulate CNNs to Make Them Lie: the GradCAM Case T. Viering Ziqi Wang Marco Loog E. Eisemann AAML FAtt 9 28 0 25 Jul 2019
Interpretability Beyond Classification Output: Semantic Bottleneck Networks M. Losch Mario Fritz Bernt Schiele UQCV 18 60 0 25 Jul 2019
Visual Interaction with Deep Learning Models through Collaborative Semantic Inference Sebastian Gehrmann Hendrik Strobelt Robert Krüger Hanspeter Pfister Alexander M. Rush HAI 13 57 0 24 Jul 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI Erico Tjoa Cuntai Guan XAI 25 1,412 0 17 Jul 2019
Explanations can be manipulated and geometry is to blame Ann-Kathrin Dombrowski Maximilian Alber Christopher J. Anders M. Ackermann K. Müller Pan Kessel AAML FAtt 9 328 0 19 Jun 2019
From Clustering to Cluster Explanations via Neural Networks Jacob R. Kauffmann Malte Esders Lukas Ruff G. Montavon Wojciech Samek K. Müller 16 68 0 18 Jun 2019
XRAI: Better Attributions Through Regions A. Kapishnikov Tolga Bolukbasi Fernanda Viégas Michael Terry FAtt XAI 20 211 0 06 Jun 2019
Interpreting Adversarially Trained Convolutional Neural Networks Tianyuan Zhang Zhanxing Zhu AAML GAN FAtt 7 157 0 23 May 2019
An Information Theoretic Interpretation to Deep Neural Networks Shao-Lun Huang Xiangxiang Xu Lizhong Zheng G. Wornell FAtt 14 41 0 16 May 2019
Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation Fabian Eitel Emily Soehler J. Bellmann-Strobl A. Brandt K. Ruprecht ... M. Weygandt J. Haynes M. Scheel Friedemann Paul K. Ritter 11 131 0 18 Apr 2019
Interpreting Adversarial Examples with Attributes Sadaf Gulshad J. H. Metzen A. Smeulders Zeynep Akata FAtt AAML 17 6 0 17 Apr 2019
Counterfactual Visual Explanations Yash Goyal Ziyan Wu Jan Ernst Dhruv Batra Devi Parikh Stefan Lee CML 14 507 0 16 Apr 2019