Understanding Neural Networks Through Deep Visualization

22 June 2015

Jeff Clune

Papers citing "Understanding Neural Networks Through Deep Visualization"

50 / 262 papers shown

Title
With Friends Like These, Who Needs Adversaries? Saumya Jetley Nicholas A. Lord Philip H. S. Torr AAML 15 70 0 11 Jul 2018
Confidential Inference via Ternary Model Partitioning Zhongshu Gu Heqing Huang Jialong Zhang D. Su Hani Jamjoom Ankita Lamba Dimitrios E. Pendarakis Ian Molloy 8 53 0 03 Jul 2018
This Looks Like That: Deep Learning for Interpretable Image Recognition Chaofan Chen Oscar Li Chaofan Tao A. Barnett Jonathan Su Cynthia Rudin 41 1,156 0 27 Jun 2018
Towards Robust Interpretability with Self-Explaining Neural Networks David Alvarez-Melis Tommi Jaakkola MILM XAI 26 932 0 20 Jun 2018
RISE: Randomized Input Sampling for Explanation of Black-box Models Vitali Petsiuk Abir Das Kate Saenko FAtt 35 1,149 0 19 Jun 2018
Insights on representational similarity in neural networks with canonical correlation Ari S. Morcos M. Raghu Samy Bengio DRL 30 429 0 14 Jun 2018
Hierarchical interpretations for neural network predictions Chandan Singh W. James Murdoch Bin Yu 23 145 0 14 Jun 2018
Self-Supervised Feature Learning by Learning to Spot Artifacts Simon Jenni Paolo Favaro SSL 150 127 0 13 Jun 2018
Understanding Patch-Based Learning by Explaining Predictions Christopher J. Anders G. Montavon Wojciech Samek K. Müller UQCV FAtt 17 6 0 11 Jun 2018
Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images Noel Codella Chung-Ching Lin Allan Halpern Michael Hind Rogerio Feris John R. Smith 13 41 0 30 May 2018
How Important Is a Neuron? Kedar Dhamdhere Mukund Sundararajan Qiqi Yan FAtt GNN 16 128 0 30 May 2018
Getting to Know Low-light Images with The Exclusively Dark Dataset Y. P. Loh Chee Seng Chan 32 537 0 29 May 2018
Deep Anomaly Detection Using Geometric Transformations I. Golan Ran El-Yaniv 31 601 0 28 May 2018
SoPa: Bridging CNNs, RNNs, and Weighted Finite-State Machines Roy Schwartz Sam Thomson Noah A. Smith 28 24 0 15 May 2018
Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models Hendrik Strobelt Sebastian Gehrmann M. Behrisch Adam Perer Hanspeter Pfister Alexander M. Rush VLM HAI 31 239 0 25 Apr 2018
Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering Duy-Kien Nguyen Takayuki Okatani 22 279 0 03 Apr 2018
Visualizing Convolutional Neural Network Protein-Ligand Scoring Joshua E. Hochuli Alec Helbling Tamar Skaist Matthew Ragoza D. Koes FAtt 11 65 0 06 Mar 2018
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet S. H. HasanPour Mohammad Rouhani Mohsen Fayyaz Mohammad Sabokrou Ehsan Adeli 47 45 0 17 Feb 2018
Interpretable Deep Convolutional Neural Networks via Meta-learning Xuan Liu Xiaoguang Wang Stan Matwin FaML 19 38 0 02 Feb 2018
ReNN: Rule-embedded Neural Networks Hu Wang AI4TS 21 15 0 30 Jan 2018
Deep saliency: What is learnt by a deep network about saliency? Sen He N. Pugeault SSL FAtt 16 8 0 12 Jan 2018
What have we learned from deep representations for action recognition? Christoph Feichtenhofer A. Pinz Richard P. Wildes Andrew Zisserman SSL 23 47 0 04 Jan 2018
A Multi-Scale and Multi-Depth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening Qiangqiang Yuan Yancong Wei Xiangchao Meng Huanfeng Shen Liangpei Zhang 19 463 0 28 Dec 2017
A trans-disciplinary review of deep learning research for water resources scientists Chaopeng Shen AI4CE 33 682 0 06 Dec 2017
S4Net: Single Stage Salient-Instance Segmentation Ruochen Fan Ming-Ming Cheng Qibin Hou Tai-Jiang Mu Jingdong Wang Shimin Hu ISeg SSeg 25 85 0 21 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 33 678 0 02 Nov 2017
Do Convolutional Neural Networks Learn Class Hierarchy? B. Alsallakh Amin Jourabloo Mao Ye Xiaoming Liu Liu Ren 42 210 0 17 Oct 2017
CNNComparator: Comparative Analytics of Convolutional Neural Networks Haipeng Zeng Hammad Haleem Xavier Plantaz Nan Cao Huamin Qu 17 31 0 15 Oct 2017
DeepFeat: A Bottom Up and Top Down Saliency Model Based on Deep Features of Convolutional Neural Nets Ali Mahdi Jun Qin FAtt 28 24 0 08 Sep 2017
Deep Feature Consistent Deep Image Transformations: Downscaling, Decolorization and HDR Tone Mapping Xianxu Hou Jiang Duan Guoping Qiu 27 28 0 29 Jul 2017
Contextual Explanation Networks Maruan Al-Shedivat Kumar Avinava Dubey Eric P. Xing CML 35 82 0 29 May 2017
Learning Spatiotemporal Features for Infrared Action Recognition with 3D Convolutional Neural Networks Zhuolin Jiang Viktor Rozgic Sancar Adali 3DPC 15 42 0 18 May 2017
DeepXplore: Automated Whitebox Testing of Deep Learning Systems Kexin Pei Yinzhi Cao Junfeng Yang Suman Jana AAML 34 1,351 0 18 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 16 338 0 16 May 2017
Negative Results in Computer Vision: A Perspective Ali Borji 17 36 0 11 May 2017
Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks Devinder Kumar Alexander Wong Graham W. Taylor 26 59 0 13 Apr 2017
ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models Minsuk Kahng Pierre Yves Andrews Aditya Kalro Duen Horng Chau HAI 15 322 0 06 Apr 2017
High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks Krzysztof J. Geras Stacey Wolfson Yiqiu Shen Nan Wu S. G. Kim Eric Kim Laura Heacock Ujas N Parikh Linda Moy Kyunghyun Cho 32 221 0 21 Mar 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 14 5,847 0 04 Mar 2017
Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations Upol Ehsan Brent Harrison Larry Chan Mark O. Riedl 17 217 0 25 Feb 2017
Visualizing Deep Neural Network Decisions: Prediction Difference Analysis L. Zintgraf Taco S. Cohen T. Adel Max Welling FAtt 40 706 0 15 Feb 2017
Synthesizing Normalized Faces from Facial Identity Features Forrester Cole David Belanger Dilip Krishnan Aaron Sarna Inbar Mosseri William T. Freeman 3DH CVBM 37 141 0 17 Jan 2017
Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer Xin Eric Wang Geoffrey Oxholm Da Zhang Yuan-fang Wang GAN OffRL 13 168 0 17 Nov 2016
VisualBackProp: efficient visualization of CNNs Mariusz Bojarski A. Choromańska K. Choromanski Bernhard Firner L. Jackel Urs Muller Karol Zieba FAtt 28 74 0 16 Nov 2016
Unrolled Generative Adversarial Networks Luke Metz Ben Poole David Pfau Jascha Narain Sohl-Dickstein GAN 44 1,001 0 07 Nov 2016
Understanding Convolutional Neural Networks with A Mathematical Model C.-C. Jay Kuo FAtt 19 370 0 14 Sep 2016
Visualizing and Understanding Sum-Product Networks Antonio Vergari Nicola Di Mauro F. Esposito FAtt AAML TPM 16 45 0 29 Aug 2016
Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures S. H. HasanPour Mohammad Rouhani Mohsen Fayyaz Mohammad Sabokrou 18 118 0 22 Aug 2016
Mitochondria-based Renal Cell Carcinoma Subtyping: Learning from Deep vs. Flat Feature Representations P. Schüffler Judy Sarungbam Hassan Muhammad E. Reznik S. Tickoo Thomas J. Fuchs 6 5 0 02 Aug 2016
A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks Felix Grün Christian Rupprecht Nassir Navab Federico Tombari SSL FAtt 30 76 0 24 Jun 2016