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Towards Explanation of DNN-based Prediction with Guided Feature Inversion

19 March 2018

Ninghao Liu

Papers citing "Towards Explanation of DNN-based Prediction with Guided Feature Inversion"

50 / 54 papers shown

Title
Concept-Centric Token Interpretation for Vector-Quantized Generative Models Tianze Yang Yucheng Shi Mengnan Du Xuansheng Wu Qiaoyu Tan Jin Sun Ninghao Liu 24 0 0 31 May 2025
Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview Ahmad Chaddad Yan Hu Yihang Wu Binbin Wen R. Kateb 141 7 0 11 Mar 2025
ConcreTizer: Model Inversion Attack via Occupancy Classification and Dispersion Control for 3D Point Cloud Restoration Youngseok Kim Sunwook Hwang Hyung-Sin Kim S. Bahk DiffM 3DPC 85 0 0 10 Mar 2025
Rethinking the Principle of Gradient Smooth Methods in Model Explanation Linjiang Zhou Chao Ma Zepeng Wang Xiaochuan Shi FAtt 64 0 0 10 Oct 2024
Axiomatization of Gradient Smoothing in Neural Networks Linjiang Zhou Xiaochuan Shi Chao Ma Zepeng Wang FAtt 69 1 0 29 Jun 2024
Beyond 5G Network Failure Classification for Network Digital Twin Using Graph Neural Network Abubakar Isah I. Aliyu Jaechan Shim Hoyong Ryu Jinsul Kim 60 1 0 06 Jun 2024
Generating Counterfactual Explanations Using Cardinality Constraints Rubén Ruiz-Torrubiano LRM 23 0 0 11 Apr 2024
Interpretable Modeling of Deep Reinforcement Learning Driven Scheduling Boyang Li Zhiling Lan M. Papka OffRL 49 0 0 24 Mar 2024
Feature CAM: Interpretable AI in Image Classification Frincy Clement Ji Yang Irene Cheng FAtt 43 1 0 08 Mar 2024
Ensemble Interpretation: A Unified Method for Interpretable Machine Learning Chao Min Guoyong Liao Guo-quan Wen Yingjun Li Xing Guo FAtt 66 0 0 11 Dec 2023
A Comprehensive and Reliable Feature Attribution Method: Double-sided Remove and Reconstruct (DoRaR) Dong Qin G. Amariucai Daji Qiao Yong Guan Shen Fu 134 5 0 27 Oct 2023
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods Robin Hesse Simone Schaub-Meyer Stefan Roth AAML 86 34 0 11 Aug 2023
On the Adversarial Inversion of Deep Biometric Representations Gioacchino Tangari Shreesh Keskar Hassan Jameel Asghar Dali Kaafar AAML 71 2 0 12 Apr 2023
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 45 4 0 21 Dec 2022
Towards Prototype-Based Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 73 13 0 05 Oct 2022
Lateral Movement Detection Using User Behavioral Analysis Deepak Kushwaha Dhruv Nandakumar Akshay Kakkar Sanvi Gupta K. Choi ... Sabthagiri Saravanan Chandramohan Edward Bowen M. Weeks Aaron Shaha Joe Nehila AAML 28 1 0 29 Aug 2022
Private Graph Extraction via Feature Explanations Iyiola E. Olatunji Mandeep Rathee Thorben Funke Megha Khosla AAML FAtt 74 12 0 29 Jun 2022
FlowX: Towards Explainable Graph Neural Networks via Message Flows Shurui Gui Hao Yuan Jie Wang Qicheng Lao Kang Li Shuiwang Ji 98 13 0 26 Jun 2022
An Embedded Feature Selection Framework for Control Jiawen Wei Fangyuan Wang Wan-Ting Zeng Wen-Jiun Lin Ning Gui AI4CE 143 6 0 19 Jun 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 178 423 0 20 Jan 2022
DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications Dongqi Han Zhiliang Wang Wenqi Chen Ying Zhong Su Wang Han Zhang Jiahai Yang Xingang Shi Xia Yin AAML 67 81 0 23 Sep 2021
Towards Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 111 89 0 26 Aug 2021
Understanding of Kernels in CNN Models by Suppressing Irrelevant Visual Features in Images Jiafan Zhuang Wanying Tao Jianfei Xing Wei Shi Ruixuan Wang Weishi Zheng FAtt 52 3 0 25 Aug 2021
The effectiveness of feature attribution methods and its correlation with automatic evaluation scores Giang Nguyen Daeyoung Kim Anh Totti Nguyen FAtt 139 89 0 31 May 2021
Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation Dohun Lim Hyeonseok Lee Sungchan Kim FAtt AAML 65 13 0 26 Mar 2021
On Explainability of Graph Neural Networks via Subgraph Explorations Hao Yuan Haiyang Yu Jie Wang Kang Li Shuiwang Ji FAtt 83 395 0 09 Feb 2021
HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks Yuanyuan Chen Boyang Albert Li Han Yu Pengcheng Wu Chunyan Miao TDI 102 42 0 04 Feb 2021
Layer-based Composite Reputation Bootstrapping Sajib Mistry A. Bouguettaya Lie Qu FedML 17 1 0 01 Feb 2021
Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models Dong Wang Yuewei Yang Chenyang Tao Zhe Gan Liqun Chen Fanjie Kong Ricardo Henao Lawrence Carin 57 0 0 06 Dec 2020
Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels Xiangwei Shi Seyran Khademi Yun-qiang Li Jan van Gemert VLM WSOL 88 20 0 16 Oct 2020
Are Interpretations Fairly Evaluated? A Definition Driven Pipeline for Post-Hoc Interpretability Ninghao Liu Yunsong Meng Helen Zhou Tie Wang Bo Long XAI FAtt 79 7 0 16 Sep 2020
How Useful Are the Machine-Generated Interpretations to General Users? A Human Evaluation on Guessing the Incorrectly Predicted Labels Hua Shen Ting-Hao 'Kenneth' Huang FAtt HAI 83 56 0 26 Aug 2020
Explanation of Reinforcement Learning Model in Dynamic Multi-Agent System Xinzhi Wang Huao Li Hui Zhang M. Lewis Katia Sycara 49 4 0 04 Aug 2020
Explainable Artificial Intelligence: a Systematic Review Giulia Vilone Luca Longo XAI 110 271 0 29 May 2020
Joint learning of interpretation and distillation Jinchao Huang Guofu Li Zhicong Yan Fucai Luo Shenghong Li FedML FAtt 19 1 0 24 May 2020
iCapsNets: Towards Interpretable Capsule Networks for Text Classification Zhengyang Wang Helen Zhou Shuiwang Ji 38 11 0 16 May 2020
Towards Interpretable Deep Learning Models for Knowledge Tracing Yu Lu De-Wu Wang Qinggang Meng Penghe Chen 64 37 0 13 May 2020
Understanding Misclassifications by Attributes Sadaf Gulshad Zeynep Akata J. H. Metzen A. Smeulders AAML 95 0 0 15 Oct 2019
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks Mehdi Neshat Zifan Wang Bradley Alexander Fan Yang Zijian Zhang Sirui Ding Markus Wagner Helen Zhou FAtt 111 1,075 0 03 Oct 2019
Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder Mengnan Du Shiva K. Pentyala Yuening Li Helen Zhou 86 41 0 13 Sep 2019
FDA: Feature Disruptive Attack Aditya Ganeshan S. VivekB. R. Venkatesh Babu AAML 118 105 0 10 Sep 2019
Fairness in Deep Learning: A Computational Perspective Mengnan Du Fan Yang Na Zou Helen Zhou FaML FedML 66 234 0 23 Aug 2019
A Tour of Convolutional Networks Guided by Linear Interpreters Pablo Navarrete Michelini Hanwen Liu Yunhua Lu Xingqun Jiang HAI FAtt 47 7 0 14 Aug 2019
Learning Credible Deep Neural Networks with Rationale Regularization Mengnan Du Ninghao Liu Fan Yang Helen Zhou FaML 103 46 0 13 Aug 2019
Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks Jörg Wagner Jan M. Köhler Tobias Gindele Leon Hetzel Thaddäus Wiedemer Sven Behnke AAML FAtt 122 122 0 07 Aug 2019
Evaluating Explanation Without Ground Truth in Interpretable Machine Learning Fan Yang Mengnan Du Helen Zhou XAI ELM 74 67 0 16 Jul 2019
Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding Haotian Ma Hao Zhang Fan Zhou Yinqing Zhang Quanshi Zhang FAtt 25 0 0 10 Jun 2019
Interpreting Adversarial Examples with Attributes Sadaf Gulshad J. H. Metzen A. Smeulders Zeynep Akata FAtt AAML 93 6 0 17 Apr 2019
On Attribution of Recurrent Neural Network Predictions via Additive Decomposition Mengnan Du Ninghao Liu Fan Yang Shuiwang Ji Helen Zhou FAtt 71 51 0 27 Mar 2019
Adversarial Neural Network Inversion via Auxiliary Knowledge Alignment Ziqi Yang E. Chang Zhenkai Liang MLAU 91 60 0 22 Feb 2019