Towards Better Analysis of Deep Convolutional Neural Networks

24 April 2016

Jun Zhu

Papers citing "Towards Better Analysis of Deep Convolutional Neural Networks"

50 / 62 papers shown

Title
Improving DNN Modularization via Activation-Driven Training Tuan Ngo Abid Hassan Saad Shafiq Nenad Medvidovic MoMe 32 0 0 01 Nov 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 69 28 0 30 Aug 2024
Enhancing Single-Frame Supervision for Better Temporal Action Localization Changjian Chen Jiashu Chen Weikai Yang Haoze Wang Johannes Knittel Xibin Zhao Steffen Koch Thomas Ertl Shixia Liu 30 3 0 08 Dec 2023
Towards Better Modeling with Missing Data: A Contrastive Learning-based Visual Analytics Perspective Laixin Xie Ouyang Yang Long-fei Chen Ziming Wu Quan Li 18 0 0 18 Sep 2023
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research Hariharan Subramonyam Jessica Hullman VLM HAI 27 8 0 10 Aug 2023
Cluster-Aware Grid Layout Yuxing Zhou Weikai Yang Jiashu Chen Changjian Chen Z. Shen Xiaonan Luo Lingyun Yu Shixia Liu 26 5 0 07 Aug 2023
How Does Attention Work in Vision Transformers? A Visual Analytics Attempt Yiran Li Junpeng Wang Xin Dai Liang Wang Chin-Chia Michael Yeh Yan Zheng Wei Zhang Kwan-Liu Ma ViT 20 23 0 24 Mar 2023
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations Angelos Chatzimparmpas R. Martins I. Jusufi K. Kucher Fabrice Rossi A. Kerren FAtt 26 160 0 22 Dec 2022
Towards Efficient Visual Simplification of Computational Graphs in Deep Neural Networks Rusheng Pan Zhiyong Wang Yating Wei Han Gao Gongchang Ou Caleb Chen Cao Jinglin Xu Tong Xu Wei Chen GNN 18 4 0 21 Dec 2022
A Visual Analytics System for Improving Attention-based Traffic Forecasting Models Seungmin Jin Hyunwoo Lee Cheonbok Park Hyeshin Chu Yunwon Tae Jaegul Choo Sungahn Ko 20 14 0 08 Aug 2022
Diagnosing Ensemble Few-Shot Classifiers Weikai Yang Xi Ye Xingxing Zhang Lanxi Xiao Jiazhi Xia Zhongyuan Wang Jun Zhu Hanspeter Pfister Shixia Liu 35 16 0 09 Jun 2022
From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation Reduan Achtibat Maximilian Dreyer Ilona Eisenbraun S. Bosse Thomas Wiegand Wojciech Samek Sebastian Lapuschkin FAtt 30 131 0 07 Jun 2022
ViNNPruner: Visual Interactive Pruning for Deep Learning U. Schlegel Samuel Schiegg Daniel A. Keim VLM 27 2 0 31 May 2022
Testing Feedforward Neural Networks Training Programs Houssem Ben Braiek Foutse Khomh AAML 11 14 0 01 Apr 2022
Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment Yuyang Gao Tong Sun Liang Zhao Sungsoo Ray Hong HAI 23 37 0 06 Feb 2022
Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework Junpeng Wang Liang Wang Yan Zheng Chin-Chia Michael Yeh Shubham Jain Wei Zhang FAtt 30 12 0 19 Jan 2022
VAC-CNN: A Visual Analytics System for Comparative Studies of Deep Convolutional Neural Networks Xiwei Xuan Xiaoyu Zhang Oh-Hyun Kwon K. Ma HAI 16 17 0 25 Oct 2021
Inference Graphs for CNN Interpretation Yael Konforti Alon Shpigler Aharon Bar-Hillel FAtt GNN 22 4 0 20 Oct 2021
Revisiting Dimensionality Reduction Techniques for Visual Cluster Analysis: An Empirical Study Jiazhi Xia Yuchen Zhang Jie Song Yang Chen Yunhai Wang Shixia Liu 29 46 0 06 Oct 2021
SIM2REALVIZ: Visualizing the Sim2Real Gap in Robot Ego-Pose Estimation Theo Jaunet G. Bono Romain Vuillemot Christian Wolf 21 2 0 24 Sep 2021
VideoModerator: A Risk-aware Framework for Multimodal Video Moderation in E-Commerce Tan Tang Yanhong Wu Lingyun Yu Yuhong Li Yingcai Wu 46 22 0 08 Sep 2021
Towards Visual Explainable Active Learning for Zero-Shot Classification Shichao Jia Zeyu Li Nuo Chen Jiawan Zhang VLM 30 23 0 15 Aug 2021
Improving Visualization Interpretation Using Counterfactuals Smiti Kaul D. Borland Nan Cao David Gotz CML 10 17 0 21 Jul 2021
VisQA: X-raying Vision and Language Reasoning in Transformers Theo Jaunet Corentin Kervadec Romain Vuillemot G. Antipov M. Baccouche Christian Wolf 19 26 0 02 Apr 2021
Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles G. Cantareira R. Mello F. Paulovich AAML 24 9 0 18 Mar 2021
Interactive Steering of Hierarchical Clustering Weikai Yang Xiting Wang Jie Lu Wenwen Dou Shixia Liu LLMSV 11 37 0 21 Sep 2020
CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics Guan Li Junpeng Wang Han-Wei Shen Kaixin Chen Guihua Shan Zhonghua Lu AAML 31 47 0 08 Sep 2020
SilkViser:A Visual Explorer of Blockchain-based Cryptocurrency Transaction Data Zengsheng Zhong Shuirun Wei Yeting Xu Ying Zhao Fangfang Zhou Feng Luo Ronghua Shi 24 17 0 06 Sep 2020
A Visual Analytics Approach for Exploratory Causal Analysis: Exploration, Validation, and Applications Xiao Xie F. Du Yingcai Wu CML 6 35 0 05 Sep 2020
Attention Flows: Analyzing and Comparing Attention Mechanisms in Language Models Joseph F DeRose Jiayao Wang M. Berger 17 83 0 03 Sep 2020
Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images Xinyi Huang Suphanut Jamonnak Ye Zhao Boyu Wang Minh Hoai Kevin Yager Wei-ping Xu 30 5 0 03 Sep 2020
PlotThread: Creating Expressive Storyline Visualizations using Reinforcement Learning Tan Tang Renzhong Li Xinke Wu Shuhan Liu Johannes Knittel Steffen Koch Thomas Ertl Lingyun Yu Peiran Ren Yingcai Wu 33 52 0 01 Sep 2020
A Survey of Visual Analytics Techniques for Machine Learning Jun Yuan Changjian Chen Weikai Yang Mengchen Liu Jiazhi Xia Shixia Liu 21 216 0 21 Aug 2020
Revisiting the Modifiable Areal Unit Problem in Deep Traffic Prediction with Visual Analytics Wei Zeng Chengqiao Lin Juncong Lin Jincheng Jiang Jiazhi Xia Cagatay Turkay Wei Chen 27 27 0 30 Jul 2020
Diagnosing Concept Drift with Visual Analytics Weikai Yang Zhuguo Li Mengchen Liu Yafeng Lu Kelei Cao Ross Maciejewski Shixia Liu 47 33 0 28 Jul 2020
Hindsight Logging for Model Training Rolando Garcia Eric Liu Vikram Sreekanti Bobby Yan Anusha Dandamudi Joseph E. Gonzalez J. M. Hellerstein Koushik Sen VLM 19 10 0 12 Jun 2020
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization Zijie J. Wang Robert Turko Omar Shaikh Haekyu Park Nilaksh Das Fred Hohman Minsuk Kahng Duen Horng Chau HAI FAtt 30 240 0 30 Apr 2020
DeepStreamCE: A Streaming Approach to Concept Evolution Detection in Deep Neural Networks Lorraine Chambers M. Gaber Z. Abdallah 21 4 0 08 Apr 2020
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents Richard Meyes Moritz Schneider Tobias Meisen 28 2 0 07 Apr 2020
Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations Richard Meyes Constantin Waubert de Puiseau Andres Felipe Posada-Moreno Tobias Meisen AI4CE 30 22 0 02 Apr 2020
Experimenting with Convolutional Neural Network Architectures for the automatic characterization of Solitary Pulmonary Nodules' malignancy rating Ioannis D. Apostolopoulos 12 3 0 15 Mar 2020
OoDAnalyzer: Interactive Analysis of Out-of-Distribution Samples Changjian Chen Jun Yuan Yafeng Lu Yang Liu Hang Su Songtao Yuan Shixia Liu OODD 21 63 0 08 Feb 2020
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 37 6,111 0 22 Oct 2019
SANVis: Visual Analytics for Understanding Self-Attention Networks Cheonbok Park Inyoup Na Yongjang Jo Sungbok Shin J. Yoo Bum Chul Kwon Jian Zhao Hyungjong Noh Yeonsoo Lee Jaegul Choo HAI 35 38 0 13 Sep 2019
The What-If Tool: Interactive Probing of Machine Learning Models James Wexler Mahima Pushkarna Tolga Bolukbasi Martin Wattenberg F. Viégas Jimbo Wilson VLM 43 484 0 09 Jul 2019
NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation Subhashis Hazarika Haoyu Li Ko-Chih Wang Han-Wei Shen Ching-Shan Chou 31 20 0 19 Apr 2019
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations Fred Hohman Haekyu Park Caleb Robinson Duen Horng Chau FAtt 3DH HAI 19 213 0 04 Apr 2019
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges Di Feng Christian Haase-Schuetz Lars Rosenbaum Heinz Hertlein Claudius Gläser Fabian Duffhauss W. Wiesbeck Klaus C. J. Dietmayer 3DPC 41 987 0 21 Feb 2019
A Gray Box Interpretable Visual Debugging Approach for Deep Sequence Learning Model Md. Mofijul Islam Amar Debnath Tahsin Al Sayeed Jyotirmay Nag Setu Md Mahmudur Rahman Md. Sadman Sakib M. Razzaque Md. Mosaddek Khan Swakkhar Shatabda HAI AAML VLM 30 0 0 20 Nov 2018
CarePre: An Intelligent Clinical Decision Assistance System Zhuochen Jin Jingshun Yang Shuyuan Cui David Gotz Jimeng Sun Nan Cao 29 31 0 06 Nov 2018