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Interpretable Convolutional Neural Networks

2 October 2017

Papers citing "Interpretable Convolutional Neural Networks"

50 / 314 papers shown

Title
Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks Florian Dubost H. Adams P. Yilmaz Gerda Bortsova Gijs van Tulder M. Ikram W. Niessen Meike W. Vernooij Marleen de Bruijne MedIm 73 44 0 05 Jun 2019
Interpretable Neural Network Decoupling Yuchao Li Rongrong Ji Shaohui Lin Baochang Zhang Chenqian Yan Yongjian Wu Feiyue Huang Ling Shao 54 2 0 04 Jun 2019
Attention Based Pruning for Shift Networks G. B. Hacene Carlos Lassance Vincent Gripon Matthieu Courbariaux Yoshua Bengio 98 25 0 29 May 2019
Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion Adam Kortylewski Qing Liu Huiyu Wang Zhishuai Zhang Alan Yuille 119 62 0 28 May 2019
Not All Features Are Equal: Feature Leveling Deep Neural Networks for Better Interpretation Yingjing Lu Runde Yang MILM 36 2 0 24 May 2019
Consensus-based Interpretable Deep Neural Networks with Application to Mortality Prediction Shaeke Salman S. N. Payrovnaziri Xiuwen Liu Pablo Rengifo-Moreno Zhe He 26 0 0 14 May 2019
Hybrid Predictive Model: When an Interpretable Model Collaborates with a Black-box Model Tong Wang Qihang Lin 139 19 0 10 May 2019
When Deep Learning Met Code Search J. Cambronero Hongyu Li Seohyun Kim Koushik Sen S. Chandra CLIP 126 221 0 09 May 2019
Deep Visual City Recognition Visualization Xiangwei Shi Seyran Khademi Jan van Gemert SSL HAI FAtt 47 4 0 06 May 2019
Visualizing Deep Networks by Optimizing with Integrated Gradients Zhongang Qi Saeed Khorram Fuxin Li FAtt 83 124 0 02 May 2019
Visualizing the decision-making process in deep neural decision forest Shichao Li K. Cheng FAtt 69 6 0 19 Apr 2019
Data-Free Learning of Student Networks Hanting Chen Yunhe Wang Chang Xu Zhaohui Yang Chuanjian Liu Boxin Shi Chunjing Xu Chao Xu Qi Tian FedML 76 372 0 02 Apr 2019
On the Robustness of Deep K-Nearest Neighbors Chawin Sitawarin David Wagner AAML OOD 140 58 0 20 Mar 2019
Natural Language Interaction with Explainable AI Models Arjun Reddy Akula S. Todorovic J. Chai Song-Chun Zhu 74 23 0 13 Mar 2019
Paradox in Deep Neural Networks: Similar yet Different while Different yet Similar A. Akbarinia K. Gegenfurtner DRL 37 5 0 12 Mar 2019
Aggregating explanation methods for stable and robust explainability Laura Rieger Lars Kai Hansen AAML FAtt 57 12 0 01 Mar 2019
Crowding in humans is unlike that in convolutional neural networks Ben Lonnqvist A. Clarke R. Chakravarthi 54 11 0 01 Mar 2019
Architecting Dependable Learning-enabled Autonomous Systems: A Survey Chih-Hong Cheng Dhiraj Gulati Rongjie Yan 44 4 0 27 Feb 2019
An Effective Hit-or-Miss Layer Favoring Feature Interpretation as Learned Prototypes Deformations Adrien Deliège A. Cioppa Marc Van Droogenbroeck 50 3 0 23 Feb 2019
Adversarial Neural Network Inversion via Auxiliary Knowledge Alignment Ziqi Yang E. Chang Zhenkai Liang MLAU 88 60 0 22 Feb 2019
ProtoAttend: Attention-Based Prototypical Learning Sercan O. Arik Tomas Pfister 81 19 0 17 Feb 2019
When Causal Intervention Meets Adversarial Examples and Image Masking for Deep Neural Networks Chao-Han Huck Yang Yi-Chieh Liu Pin-Yu Chen Xiaoli Ma Y. Tsai BDL AAML CML 80 21 0 09 Feb 2019
Semi-supervised learning via Feedforward-Designed Convolutional Neural Networks Yueru Chen Yijing Yang Hao Fei C.-C. Jay Kuo SSL 28 10 0 06 Feb 2019
Learning Decision Trees Recurrently Through Communication Stephan Alaniz Diego Marcos Bernt Schiele Zeynep Akata 58 16 0 05 Feb 2019
Class Activation Map Generation by Representative Class Selection and Multi-Layer Feature Fusion Fanman Meng Kaixu Huang Hongliang Li Qi Wu VLM WSOL 32 10 0 23 Jan 2019
Unsupervised Learning of Neural Networks to Explain Neural Networks (extended abstract) Quanshi Zhang Yu Yang Ying Nian Wu FAtt SSL 25 1 0 21 Jan 2019
Deep Features Analysis with Attention Networks Shipeng Xie Da Chen Rong Zhang Hui Xue FAtt XAI 53 5 0 20 Jan 2019
Interpretable CNNs for Object Classification Quanshi Zhang Xin Eric Wang Ying Nian Wu Huilin Zhou Song-Chun Zhu 61 54 0 08 Jan 2019
Interpretable BoW Networks for Adversarial Example Detection Krishna Kanth Nakka Mathieu Salzmann GAN AAML 25 0 0 08 Jan 2019
Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks Zenan Ling Haotian Ma Yu Yang Robert C. Qiu Song-Chun Zhu Quanshi Zhang MILM 33 3 0 08 Jan 2019
Ensembles of feedforward-designed convolutional neural networks Yueru Chen Yijing Yang Wei Wang C.-C. Jay Kuo 46 12 0 08 Jan 2019
Personalized explanation in machine learning: A conceptualization J. Schneider J. Handali XAI FAtt 80 17 0 03 Jan 2019
Explanatory Graphs for CNNs Quanshi Zhang Xin Eric Wang Ruiming Cao Ying Nian Wu Feng Shi Song-Chun Zhu FAtt GNN 44 3 0 18 Dec 2018
Explaining Neural Networks Semantically and Quantitatively Runjin Chen Hao Chen Ge Huang Jie Ren Quanshi Zhang FAtt 62 56 0 18 Dec 2018
Interpretable Deep Learning under Fire Xinyang Zhang Ningfei Wang Hua Shen S. Ji Xiapu Luo Ting Wang AAML AI4CE 138 173 0 03 Dec 2018
Image Score: How to Select Useful Samples Simiao Zuo Jialin Wu FAtt 17 0 0 02 Dec 2018
Adversarial Sampling and Training for Semi-Supervised Information Retrieval Dae Hoon Park Yi-Ju Chang FedML 69 103 0 09 Nov 2018
An Overview of Computational Approaches for Interpretation Analysis Philipp Blandfort Jörn Hees D. Patton 49 2 0 09 Nov 2018
YASENN: Explaining Neural Networks via Partitioning Activation Sequences Yaroslav Zharov Denis Korzhenkov J. Lyu Alexander Tuzhilin FAtt AAML 23 6 0 07 Nov 2018
Interpretable Convolutional Neural Networks via Feedforward Design C.-C. Jay Kuo Min Zhang Siyang Li Jiali Duan Yueru Chen 88 157 0 05 Oct 2018
Interpretable Spatio-temporal Attention for Video Action Recognition Lili Meng Bo Zhao B. Chang Gao Huang Wei Sun Fred Tung Leonid Sigal 103 83 0 01 Oct 2018
Interpretable Neuron Structuring with Graph Spectral Regularization Alexander Tong David van Dijk Jay S. Stanley Matthew Amodio Kristina M. Yim R. Muhle J. Noonan Guy Wolf Smita Krishnaswamy 51 6 0 30 Sep 2018
Knowledge-guided Semantic Computing Network Guangming Shi Zhongqiang Zhang Dahua Gao Xuemei Xie Yihao Feng Xinrui Ma Danhua Liu 39 10 0 29 Sep 2018
A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees Klaus Broelemann Gjergji Kasneci 84 20 0 25 Sep 2018
An iterative method for classification of binary data Denali Molitor Deanna Needell 15 1 0 09 Sep 2018
Out of the Black Box: Properties of deep neural networks and their applications Nizar Ouarti D. Carmona FAtt AAML 28 3 0 10 Aug 2018
Facial Action Unit Detection Using Attention and Relation Learning Zhiwen Shao Zhilei Liu Jianfei Cai Yunsheng Wu Lizhuang Ma ViT 69 118 0 10 Aug 2018
Techniques for Interpretable Machine Learning Mengnan Du Ninghao Liu Helen Zhou FaML 101 1,095 0 31 Jul 2018
Automatic multi-objective based feature selection for classification Zhiguo Zhou Shulong Li G. Qin M. Folkert Steve B. Jiang Jing Wang 38 1 0 09 Jul 2018
Convolutional Recurrent Neural Networks for Glucose Prediction Kezhi Li J. Daniels Chengyuan Liu P. Herrero Pantelis Georgiou BDL 62 219 0 09 Jul 2018