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Interpretable Convolutional Neural Networks

2 October 2017

Papers citing "Interpretable Convolutional Neural Networks"

50 / 314 papers shown

Title
Joint learning of interpretation and distillation Jinchao Huang Guofu Li Zhicong Yan Fucai Luo Shenghong Li FedML FAtt 14 1 0 24 May 2020
Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation Ziqiang Li Rentuo Tao Hongjing Niu Bin Li GAN 48 4 0 23 May 2020
Interpretable and Accurate Fine-grained Recognition via Region Grouping Zixuan Huang Yin Li 81 141 0 21 May 2020
P2ExNet: Patch-based Prototype Explanation Network Dominique Mercier Andreas Dengel Sheraz Ahmed 36 4 0 05 May 2020
A Disentangling Invertible Interpretation Network for Explaining Latent Representations Patrick Esser Robin Rombach Bjorn Ommer 62 88 0 27 Apr 2020
Towards Inheritable Models for Open-Set Domain Adaptation Jogendra Nath Kundu Naveen Venkat R. Ambareesh V. RahulM. R. Venkatesh Babu VLM 63 120 0 09 Apr 2020
Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning Lucas May Petry Amílcar Soares Júnior V. Bogorny Bruno Brandoli Stan Matwin 68 27 0 07 Apr 2020
Distance and Equivalence between Finite State Machines and Recurrent Neural Networks: Computational results Reda Marzouk C. D. L. Higuera 42 7 0 01 Apr 2020
Architecture Disentanglement for Deep Neural Networks Jie Hu Liujuan Cao QiXiang Ye Tong Tong Shengchuan Zhang Ke Li Feiyue Huang Rongrong Ji Ling Shao AAML 88 18 0 30 Mar 2020
Born-Again Tree Ensembles Thibaut Vidal Toni Pacheco Maximilian Schiffer 140 54 0 24 Mar 2020
Towards Interpretable ANNs: An Exact Transformation to Multi-Class Multivariate Decision Trees Duy T. Nguyen Kathryn E. Kasmarik H. Abbass 28 8 0 10 Mar 2020
Convolutional Occupancy Networks Songyou Peng Michael Niemeyer L. Mescheder Marc Pollefeys Andreas Geiger 3DV AI4CE 356 991 0 10 Mar 2020
Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion Adam Kortylewski Ju He Qing Liu Alan Yuille 103 91 0 10 Mar 2020
Explaining Knowledge Distillation by Quantifying the Knowledge Xu Cheng Zhefan Rao Yilan Chen Quanshi Zhang 81 122 0 07 Mar 2020
TIME: A Transparent, Interpretable, Model-Adaptive and Explainable Neural Network for Dynamic Physical Processes Gurpreet Singh Soumyajit Gupta Matt Lease Clint Dawson AI4TS AI4CE 24 2 0 05 Mar 2020
T-Net: Learning Feature Representation with Task-specific Supervision for Biomedical Image Analysis Weinan Song Yuan Liang Jiawei Yang Kun Wang Lei He 19 0 0 19 Feb 2020
A Modified Perturbed Sampling Method for Local Interpretable Model-agnostic Explanation Sheng Shi Xinfeng Zhang Wei Fan FAtt 50 28 0 18 Feb 2020
Explainable Deep Modeling of Tabular Data using TableGraphNet G. Terejanu Jawad Chowdhury Rezaur Rashid Asif J. Chowdhury LMTD FAtt 16 3 0 12 Feb 2020
Self-explaining AI as an alternative to interpretable AI Daniel C. Elton 92 56 0 12 Feb 2020
Concept Whitening for Interpretable Image Recognition Zhi Chen Yijie Bei Cynthia Rudin FAtt 109 323 0 05 Feb 2020
Localizing Interpretable Multi-scale informative Patches Derived from Media Classification Task Chuanguang Yang Zhulin An Xiaolong Hu Hui Zhu Yongjun Xu 19 0 0 31 Jan 2020
Adapting Grad-CAM for Embedding Networks Lei Chen Jianhui Chen Hossein Hajimirsadeghi Greg Mori 73 57 0 17 Jan 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 94 317 0 08 Jan 2020
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization Zhuo Wang Wei Zhang Ning Liu Jianyong Wang 42 30 0 10 Dec 2019
Verifiability and Predictability: Interpreting Utilities of Network Architectures for Point Cloud Processing Wen Shen Zhihua Wei Shikun Huang Binbin Zhang Panyue Chen Ping Zhao Quanshi Zhang 3DPC 45 1 0 20 Nov 2019
Towards a Unified Evaluation of Explanation Methods without Ground Truth Hao Zhang Jiayi Chen Haotian Xue Quanshi Zhang XAI 71 8 0 20 Nov 2019
DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners Xiaolong Hu Zhulin An Chuanguang Yang Hui Zhu Kaiqiang Xu Yongjun Xu 45 3 0 20 Nov 2019
NeuronInspect: Detecting Backdoors in Neural Networks via Output Explanations Xijie Huang M. Alzantot Mani B. Srivastava AAML 86 106 0 18 Nov 2019
Explaining the Predictions of Any Image Classifier via Decision Trees Sheng Shi Xinfeng Zhang Wei Fan FAtt 15 8 0 04 Nov 2019
TAB-VCR: Tags and Attributes based Visual Commonsense Reasoning Baselines Jingxiang Lin Unnat Jain Alex Schwing LRM ReLM 97 9 0 31 Oct 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 174 6,366 0 22 Oct 2019
A Logic-Based Framework Leveraging Neural Networks for Studying the Evolution of Neurological Disorders Francesco Calimeri Francesco Cauteruccio Luca Cinelli A. Marzullo C. Stamile G. Terracina F. Durand-Dubief D. Sappey-Marinier 37 19 0 21 Oct 2019
A game method for improving the interpretability of convolution neural network Jinwei Zhao Qizhou Wang Fuqiang Zhang Wanli Qiu Yufei Wang Yu Liu Guo Xie Weigang Ma Bin Wang Xinhong Hei AI4CE 53 0 0 21 Oct 2019
Interpreting Deep Learning-Based Networking Systems Zili Meng Minhu Wang Jia-Ju Bai Mingwei Xu Hongzi Mao Hongxin Hu AI4CE 38 3 0 09 Oct 2019
Decision Explanation and Feature Importance for Invertible Networks Juntang Zhuang Nicha Dvornek Xiaoxiao Li Junlin Yang James S. Duncan AAML FAtt 61 5 0 30 Sep 2019
BEAN: Interpretable Representation Learning with Biologically-Enhanced Artificial Neuronal Assembly Regularization Yuyang Gao Giorgio Ascoli Liang Zhao 70 16 0 27 Sep 2019
Semantically Interpretable Activation Maps: what-where-how explanations within CNNs Diego Marcos Sylvain Lobry D. Tuia FAtt MILM 59 28 0 18 Sep 2019
X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust Arjun Reddy Akula Changsong Liu Sari Saba-Sadiya Hongjing Lu S. Todorovic J. Chai Song-Chun Zhu 65 18 0 15 Sep 2019
Shapley Interpretation and Activation in Neural Networks Yadong Li Xin Cui TDI FAtt LLMSV 37 3 0 13 Sep 2019
TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion Mingqing Xiao Adam Kortylewski Ruihai Wu Siyuan Qiao Wei Shen Alan Yuille 62 14 0 09 Sep 2019
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques Vijay Arya Rachel K. E. Bellamy Pin-Yu Chen Amit Dhurandhar Michael Hind ... Karthikeyan Shanmugam Moninder Singh Kush R. Varshney Dennis L. Wei Yunfeng Zhang XAI 76 392 0 06 Sep 2019
Graph Representation Learning: A Survey Fenxiao Chen Yun Cheng Wang Bin Wang C.-C. Jay Kuo GNN AI4TS 72 208 0 03 Sep 2019
Neural Architecture Search for Joint Optimization of Predictive Power and Biological Knowledge Zijun Zhang Linqi Zhou Liangke Gou Ying Nian Wu 15 4 0 01 Sep 2019
Towards Learning Affine-Invariant Representations via Data-Efficient CNNs Xenju Xu Guanghui Wang Alan Sullivan Ziming Zhang 65 23 0 31 Aug 2019
Facial age estimation by deep residual decision making Shichao Li K. Cheng CVBM 39 6 0 28 Aug 2019
Knowledge Consistency between Neural Networks and Beyond Ruofan Liang Tianlin Li Longfei Li Jingchao Wang Quanshi Zhang 76 28 0 05 Aug 2019
NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning M. Alzantot Amy Widdicombe S. Julier Mani B. Srivastava AAML FAtt 49 3 0 05 Aug 2019
What's in the box? Explaining the black-box model through an evaluation of its interpretable features F. Ventura Tania Cerquitelli 18 2 0 31 Jul 2019
Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding Haotian Ma Hao Zhang Fan Zhou Yinqing Zhang Quanshi Zhang FAtt 23 0 0 10 Jun 2019
Context-Aware Visual Policy Network for Fine-Grained Image Captioning Zhengjun Zha Daqing Liu Hanwang Zhang Yongdong Zhang Feng Wu 66 122 0 06 Jun 2019