Understanding Neural Networks Through Deep Visualization

22 June 2015

Jeff Clune

Papers citing "Understanding Neural Networks Through Deep Visualization"

50 / 262 papers shown

Title
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 38 300 0 08 Jan 2020
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization Zhuo Wang Wei Zhang Ning Liu Jianyong Wang 11 29 0 10 Dec 2019
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks Yuheng Zhang R. Jia Hengzhi Pei Wenxiao Wang Bo-wen Li D. Song AAML 19 410 0 17 Nov 2019
WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis Tianfu Li Zhibin Zhao Chuang Sun Li Cheng Xuefeng Chen Ruqaing Yan R. Gao 19 316 0 12 Nov 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot S. Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 37 6,110 0 22 Oct 2019
Fully Convolutional Networks for Chip-wise Defect Detection Employing Photoluminescence Images M. L. Stern M. Schellenberger 28 25 0 06 Oct 2019
Gated Linear Networks William H. Guss Tor Lattimore David Budden Avishkar Bhoopchand Christopher Mattern ... Ruslan Salakhutdinov Jianan Wang Peter Toth Simon Schmitt Marcus Hutter AI4CE 10 40 0 30 Sep 2019
MonoNet: Towards Interpretable Models by Learning Monotonic Features An-phi Nguyen María Rodríguez Martínez FAtt 16 13 0 30 Sep 2019
Towards Explainable Artificial Intelligence Wojciech Samek K. Müller XAI 32 436 0 26 Sep 2019
Automated detection of oral pre-cancerous tongue lesions using deep learning for early diagnosis of oral cavity cancer M. Z. Shamim Sadatullah Syed Mohammad Shiblee Mohammed Usman S. Ali 16 71 0 18 Sep 2019
Saccader: Improving Accuracy of Hard Attention Models for Vision Gamaleldin F. Elsayed Simon Kornblith Quoc V. Le VLM 29 71 0 20 Aug 2019
Visualizing Image Content to Explain Novel Image Discovery Jake H. Lee K. Wagstaff 11 3 0 14 Aug 2019
Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models Daniel Omeiza Skyler Speakman C. Cintas Komminist Weldemariam FAtt 19 216 0 03 Aug 2019
Visual Interaction with Deep Learning Models through Collaborative Semantic Inference Sebastian Gehrmann Hendrik Strobelt Robert Krüger Hanspeter Pfister Alexander M. Rush HAI 21 57 0 24 Jul 2019
What does it mean to understand a neural network? Timothy Lillicrap Konrad Paul Kording 15 42 0 15 Jul 2019
Generative Counterfactual Introspection for Explainable Deep Learning Shusen Liu B. Kailkhura Donald Loveland Yong Han 20 90 0 06 Jul 2019
Learning Temporal Pose Estimation from Sparsely-Labeled Videos Gedas Bertasius Christoph Feichtenhofer Du Tran Jianbo Shi Lorenzo Torresani 3DH 19 77 0 06 Jun 2019
Adversarial Robustness as a Prior for Learned Representations Logan Engstrom Andrew Ilyas Shibani Santurkar Dimitris Tsipras Brandon Tran A. Madry OOD AAML 19 63 0 03 Jun 2019
Fashion++: Minimal Edits for Outfit Improvement Wei-Lin Hsiao Isay Katsman Chao-Yuan Wu Devi Parikh Kristen Grauman 18 67 0 19 Apr 2019
Explainability in Human-Agent Systems A. Rosenfeld A. Richardson XAI 24 203 0 17 Apr 2019
A Selective Overview of Deep Learning Jianqing Fan Cong Ma Yiqiao Zhong BDL VLM 28 136 0 10 Apr 2019
Deep segmentation networks predict survival of non-small cell lung cancer Stephen Seung-Yeob Baek Yusen He B. Allen John Buatti Brian J. Smith ... S. Seyedin M. Gannon Katherine R. Cabel Yusung Kim Xiaodong Wu 11 82 0 26 Mar 2019
Optimising the Input Image to Improve Visual Relationship Detection Noel Mizzi A. Muscat 8 2 0 26 Mar 2019
Understanding and Visualizing Deep Visual Saliency Models Sen He Hamed R. Tavakoli Ali Borji Yang Mi N. Pugeault FAtt 25 46 0 06 Mar 2019
Defining Image Memorability using the Visual Memory Schema Erdem Akagündüz A. Bors K. Evans 4 28 0 05 Mar 2019
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn Sebastian Lapuschkin S. Wäldchen Alexander Binder G. Montavon Wojciech Samek K. Müller 17 996 0 26 Feb 2019
Adversarial Neural Network Inversion via Auxiliary Knowledge Alignment Ziqi Yang E. Chang Zhenkai Liang MLAU 25 60 0 22 Feb 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions F. Altaf Syed Mohammed Shamsul Islam Naveed Akhtar N. Janjua OOD 23 200 0 15 Feb 2019
SISC: End-to-end Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells Vignesh Sankar Devinder Kumar David A Clausi Graham W. Taylor Alexander Wong 11 22 0 15 Jan 2019
Automated Rationale Generation: A Technique for Explainable AI and its Effects on Human Perceptions Upol Ehsan Pradyumna Tambwekar Larry Chan Brent Harrison Mark O. Riedl 19 237 0 11 Jan 2019
Explaining Neural Networks Semantically and Quantitatively Runjin Chen Hao Chen Ge Huang J. Ren Quanshi Zhang FAtt 18 54 0 18 Dec 2018
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting C. Atkinson B. McCane Lech Szymanski Anthony Robins VLM CLL 13 102 0 06 Dec 2018
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 168 287 0 02 Dec 2018
A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration M. Cavallo Çağatay Demiralp 11 55 0 28 Nov 2018
Understanding and Improving Kernel Local Descriptors Arun Mukundan Giorgos Tolias Andrei Bursuc Hervé Jégou Ondřej Chum 22 11 0 27 Nov 2018
Gradient-Coherent Strong Regularization for Deep Neural Networks Dae Hoon Park C. Ho Yi Chang Huaqing Zhang ODL 13 1 0 20 Nov 2018
Learning to synthesize: splitting and recombining low and high spatial frequencies for image recovery Mo Deng Shuai Li George Barbastathis SupR 11 18 0 19 Nov 2018
An Overview of Computational Approaches for Interpretation Analysis Philipp Blandfort Jörn Hees D. Patton 21 2 0 09 Nov 2018
Analyzing biological and artificial neural networks: challenges with opportunities for synergy? David Barrett Ari S. Morcos Jakob H. Macke AI4CE 20 110 0 31 Oct 2018
MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis Nesreen Ahmed Theodore L. Willke M. Schaar 14 32 0 30 Oct 2018
Demystifying Neural Network Filter Pruning Zhuwei Qin Fuxun Yu Adam Lesnikowski Xiang Chen 22 4 0 29 Oct 2018
Distilling Critical Paths in Convolutional Neural Networks Fuxun Yu Zhuwei Qin Xiang Chen 26 21 0 28 Oct 2018
Learning with Interpretable Structure from Gated RNN Bo-Jian Hou Zhi-Hua Zhou AI4CE 13 69 0 25 Oct 2018
Semantic Aware Attention Based Deep Object Co-segmentation Hong Chen Yifei Huang Hideki Nakayama SSeg 19 73 0 16 Oct 2018
Functionality-Oriented Convolutional Filter Pruning Zhuwei Qin Fuxun Yu Chenchen Liu Xiang Chen 13 4 0 12 Oct 2018
A User-based Visual Analytics Workflow for Exploratory Model Analysis Dylan Cashman S. Humayoun Florian Heimerl Kendall Park Subhajit Das ... Abigail Mosca J. Stasko Alex Endert Michael Gleicher Remco Chang 21 41 0 27 Sep 2018
Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks Ramin M. Hasani Alexander Amini Mathias Lechner Felix Naser Radu Grosu Daniela Rus 28 25 0 11 Sep 2018
Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI Xiaoxiao Li Nicha Dvornek Juntang Zhuang P. Ventola James S. Duncan 34 70 0 23 Aug 2018
Fine-grained visual recognition with salient feature detection Hui Feng Shanshan Wang S. Ge ObjD 18 3 0 12 Aug 2018
NEUZZ: Efficient Fuzzing with Neural Program Smoothing Dongdong She Kexin Pei Dave Epstein Junfeng Yang Baishakhi Ray Suman Jana 23 185 0 15 Jul 2018