Understanding Neural Networks Through Deep Visualization

22 June 2015

Jeff Clune

Papers citing "Understanding Neural Networks Through Deep Visualization"

50 / 298 papers shown

Title
CRNet: Cross-Reference Networks for Few-Shot Segmentation Weide Liu Chi Zhang Guosheng Lin Fayao Liu SSeg 163 192 0 24 Mar 2020
Pretraining Image Encoders without Reconstruction via Feature Prediction Loss G. Pihlgren Fredrik Sandin Marcus Liwicki 18 3 0 16 Mar 2020
Vec2Face: Unveil Human Faces from their Blackbox Features in Face Recognition C. Duong Thanh-Dat Truong Kha Gia Quach Hung Bui Kaushik Roy Khoa Luu CVBM 18 52 0 16 Mar 2020
Semantic Pyramid for Image Generation Assaf Shocher Yossi Gandelsman Inbar Mosseri Michal Yarom Michal Irani William T. Freeman Tali Dekel GAN 28 55 0 13 Mar 2020
Channel Interaction Networks for Fine-Grained Image Categorization Yu Gao Xintong Han Xun Wang Weilin Huang Matthew R. Scott 74 157 0 11 Mar 2020
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs Matthew L. Leavitt Ari S. Morcos 58 33 0 03 Mar 2020
Gradient-Adjusted Neuron Activation Profiles for Comprehensive Introspection of Convolutional Speech Recognition Models A. Krug Sebastian Stober 24 0 0 19 Feb 2020
Classifying the classifier: dissecting the weight space of neural networks Gabriel Eilertsen Daniel Jonsson Timo Ropinski Jonas Unger Anders Ynnerman 4 53 0 13 Feb 2020
A Hierarchy of Limitations in Machine Learning M. Malik 15 55 0 12 Feb 2020
An interpretable neural network model through piecewise linear approximation Mengzhuo Guo Qingpeng Zhang Xiuwu Liao D. Zeng MILM FAtt 19 7 0 20 Jan 2020
Relevance Prediction from Eye-movements Using Semi-interpretable Convolutional Neural Networks Nilavra Bhattacharya Somnath Rakshit J. Gwizdka P. Kogut 13 25 0 15 Jan 2020
Improving Image Autoencoder Embeddings with Perceptual Loss G. Pihlgren Fredrik Sandin Marcus Liwicki 25 33 0 10 Jan 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 38 300 0 08 Jan 2020
Automated Testing for Deep Learning Systems with Differential Behavior Criteria Yuan Gao Yiqiang Han 9 2 0 31 Dec 2019
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization Zhuo Wang Wei Zhang Ning Liu Jianyong Wang 19 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 48 410 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 Ruize Gao 27 316 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 Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 39 6,119 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 18 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 21 72 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 27 3 0 14 Aug 2019
Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Brian Kenji Iwana Ryohei Kuroki S. Uchida FAtt 32 94 0 06 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 22 216 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 18 42 0 15 Jul 2019
Generative Counterfactual Introspection for Explainable Deep Learning Shusen Liu B. Kailkhura Donald Loveland Yong Han 25 90 0 06 Jul 2019
Learning Temporal Pose Estimation from Sparsely-Labeled Videos Gedas Bertasius Christoph Feichtenhofer Du Tran Jianbo Shi Lorenzo Torresani 3DH 27 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 27 63 0 03 Jun 2019
Let's Agree to Agree: Neural Networks Share Classification Order on Real Datasets Guy Hacohen Leshem Choshen D. Weinshall AI4TS OOD 8 56 0 26 May 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
Understanding Neural Networks via Feature Visualization: A survey Anh Nguyen J. Yosinski Jeff Clune FAtt 13 160 0 18 Apr 2019
Explainability in Human-Agent Systems A. Rosenfeld A. Richardson XAI 27 203 0 17 Apr 2019
A Selective Overview of Deep Learning Jianqing Fan Cong Ma Yiqiao Zhong BDL VLM 38 136 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 13 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 12 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 33 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 29 200 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 19 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
Complementary reinforcement learning towards explainable agents J. H. Lee 19 12 0 01 Jan 2019
Plug-and-Play: Improve Depth Estimation via Sparse Data Propagation Tsun-Hsuan Wang Fu-En Wang Juan-Ting Lin Yi-Hsuan Tsai Wei-Chen Chiu Min Sun MDE 30 25 0 20 Dec 2018
Explaining Neural Networks Semantically and Quantitatively Runjin Chen Hao Chen Ge Huang Jie Ren Quanshi Zhang FAtt 23 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