Top-down Neural Attention by Excitation Backprop

1 August 2016

Papers citing "Top-down Neural Attention by Excitation Backprop"

50 / 317 papers shown

Title
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks Minh Nhat Vu My T. Thai BDL 91 339 0 12 Oct 2020
Visualizing Color-wise Saliency of Black-Box Image Classification Models Yuhki Hatakeyama Hiroki Sakuma Yoshinori Konishi Kohei Suenaga FAtt 56 3 0 06 Oct 2020
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting Sayna Ebrahimi Suzanne Petryk Akash Gokul William Gan Joseph E. Gonzalez Marcus Rohrbach Trevor Darrell CLL 83 47 0 04 Oct 2020
Trustworthy Convolutional Neural Networks: A Gradient Penalized-based Approach Nicholas F Halliwell Freddy Lecue FAtt 118 9 0 29 Sep 2020
Where is the Model Looking At?--Concentrate and Explain the Network Attention Wenjia Xu Jiuniu Wang Yang Wang Guangluan Xu Wei Dai Yirong Wu XAI 83 17 0 29 Sep 2020
Contextual Semantic Interpretability Diego Marcos Ruth C. Fong Sylvain Lobry Rémi Flamary Nicolas Courty D. Tuia SSL 122 28 0 18 Sep 2020
SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition Liangzhi Li Bowen Wang Manisha Verma Yuta Nakashima R. Kawasaki Hajime Nagahara OCL 84 50 0 14 Sep 2020
Survey of XAI in digital pathology Milda Pocevičiūtė Gabriel Eilertsen Claes Lundström 75 56 0 14 Aug 2020
Explainable Predictive Process Monitoring Musabir Musabayli F. Maggi Williams Rizzi Josep Carmona Chiara Di Francescomarino 68 61 0 04 Aug 2020
Explainable Face Recognition Jonathan R. Williford Brandon B. May J. Byrne CVBM 69 71 0 03 Aug 2020
Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation Kazuya Nishimura Junya Hayashida Chenyang Wang Dai Fei Elmer Ker Ryoma Bise 77 17 0 30 Jul 2020
Learning Visual Context by Comparison Minchul Kim Jongchan Park Seil Na C. Park Donggeun Yoo 35 11 0 15 Jul 2020
Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation Liwei Wang Jing-ling Huang Yin Li Kun Xu Zhengyuan Yang Dong Yu ObjD 74 84 0 03 Jul 2020
Drug discovery with explainable artificial intelligence José Jiménez-Luna F. Grisoni G. Schneider 195 643 0 01 Jul 2020
Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks Federico Baldassarre Kevin Smith Josephine Sullivan Hossein Azizpour 88 25 0 16 Jun 2020
A generalizable saliency map-based interpretation of model outcome Shailja Thakur S. Fischmeister AAML FAtt MILM 37 2 0 16 Jun 2020
Mitigating Gender Bias in Captioning Systems Ruixiang Tang Mengnan Du Yuening Li Zirui Liu Na Zou Helen Zhou FaML 99 66 0 15 Jun 2020
SegNBDT: Visual Decision Rules for Segmentation Alvin Wan Daniel Ho You Song Henk Tillman Sarah Adel Bargal Joseph E. Gonzalez SSeg 100 6 0 11 Jun 2020
Rethinking Localization Map: Towards Accurate Object Perception with Self-Enhancement Maps Xiaolin Zhang Yunchao Wei Yi Yang Leilei Gan WSOL 77 29 0 09 Jun 2020
Black-box Explanation of Object Detectors via Saliency Maps Vitali Petsiuk R. Jain Varun Manjunatha Vlad I. Morariu Ashutosh Mehra Vicente Ordonez Kate Saenko FAtt 64 125 0 05 Jun 2020
Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification Prateek Shroff Tianlong Chen Yunchao Wei Zhangyang Wang 31 12 0 22 May 2020
Interpretable and Accurate Fine-grained Recognition via Region Grouping Zixuan Huang Yin Li 79 140 0 21 May 2020
Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks Chaojie Ji Ruxin Wang Hongyan Wu 60 7 0 21 Apr 2020
There and Back Again: Revisiting Backpropagation Saliency Methods Sylvestre-Alvise Rebuffi Ruth C. Fong Xu Ji Andrea Vedaldi FAtt XAI 68 113 0 06 Apr 2020
NBDT: Neural-Backed Decision Trees Alvin Wan Lisa Dunlap Daniel Ho Jihan Yin Scott Lee Henry Jin Suzanne Petryk Sarah Adel Bargal Joseph E. Gonzalez 68 104 0 01 Apr 2020
Explaining Motion Relevance for Activity Recognition in Video Deep Learning Models Liam Hiley Alun D. Preece Y. Hicks Supriyo Chakraborty Prudhvi K. Gurram Richard J. Tomsett FAtt 90 15 0 31 Mar 2020
Deep Learning on Knowledge Graph for Recommender System: A Survey Y. Gao Yifan Li Yu Lin Hang Gao Latifur Khan 82 48 0 25 Mar 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Wojciech Samek G. Montavon Sebastian Lapuschkin Christopher J. Anders K. Müller XAI 141 83 0 17 Mar 2020
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI L. Arras Ahmed Osman Wojciech Samek XAI AAML 97 157 0 16 Mar 2020
Self-Supervised Discovering of Interpretable Features for Reinforcement Learning Wenjie Shi Gao Huang Shiji Song Zhuoyuan Wang Tingyu Lin Cheng Wu SSL 74 18 0 16 Mar 2020
Explainable Deep Classification Models for Domain Generalization Andrea Zunino Sarah Adel Bargal Riccardo Volpi M. Sameki Jianming Zhang Stan Sclaroff Vittorio Murino Kate Saenko FAtt 70 40 0 13 Mar 2020
Learning to Continually Learn Shawn L. E. Beaulieu Lapo Frati Thomas Miconi Joel Lehman Kenneth O. Stanley Jeff Clune Nick Cheney KELM CLL 97 148 0 21 Feb 2020
The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks Xiaoliang Luo Brett D. Roads Bradley C. Love 47 18 0 06 Feb 2020
Interpreting video features: a comparison of 3D convolutional networks and convolutional LSTM networks Joonatan Mänttäri Sofia Broomé John Folkesson Hedvig Kjellström FAtt 67 28 0 02 Feb 2020
Deeply Activated Salient Region for Instance Search Hui-Chu Xiao Wanlei Zhao Jie Lin Chong-Wah Ngo 56 8 0 01 Feb 2020
f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation Konstantin Sofiiuk Ilya A. Petrov O. Barinova Anton Konushin 171 202 0 28 Jan 2020
Extending Class Activation Mapping Using Gaussian Receptive Field Bum Jun Kim Gyogwon Koo Hyeyeon Choi Sang Woo Kim 38 7 0 15 Jan 2020
Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution Nikaash Puri Sukriti Verma Piyush B. Gupta Dhruv Kayastha Shripad Deshmukh Balaji Krishnamurthy Sameer Singh FAtt AAML 80 79 0 23 Dec 2019
When Explanations Lie: Why Many Modified BP Attributions Fail Leon Sixt Maximilian Granz Tim Landgraf BDL FAtt XAI 88 132 0 20 Dec 2019
Semantic Segmentation from Remote Sensor Data and the Exploitation of Latent Learning for Classification of Auxiliary Tasks B. Chatterjee Charalambos (Charis) Poullis SSeg 28 17 0 19 Dec 2019
Deep Relevance Regularization: Interpretable and Robust Tumor Typing of Imaging Mass Spectrometry Data Christian Etmann Maximilian Schmidt Jens Behrmann T. Boskamp Lena Hauberg-Lotte Annette Peter R. Casadonte J. Kriegsmann Peter Maass OOD 35 2 0 10 Dec 2019
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning Akanksha Atrey Kaleigh Clary David D. Jensen FAtt LRM 76 91 0 09 Dec 2019
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey Vanessa Buhrmester David Münch Michael Arens MLAU FaML XAI AAML 112 366 0 27 Nov 2019
Visualization approach to assess the robustness of neural networks for medical image classification Elina Thibeau-Sutre O. Colliot Didier Dormont Ninon Burgos 55 15 0 19 Nov 2019
Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach Bingfeng Zhang Jimin Xiao Yunchao Wei Mingjie Sun Kaizhu Huang 106 200 0 19 Nov 2019
Towards Visually Explaining Variational Autoencoders Wenqian Liu Runze Li Meng Zheng Srikrishna Karanam Ziyan Wu B. Bhanu Richard J. Radke Mario Sznaier 160 219 0 18 Nov 2019
Improve CAM with Auto-adapted Segmentation and Co-supervised Augmentation Ziyi Kou Guofeng Cui Shaojie Wang Wentian Zhao Chenliang Xu WSOL 101 1 0 17 Nov 2019
Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation Wataru Shimoda Keiji Yanai 109 137 0 04 Nov 2019
Towards Best Practice in Explaining Neural Network Decisions with LRP M. Kohlbrenner Alexander Bauer Shinichi Nakajima Alexander Binder Wojciech Samek Sebastian Lapuschkin 103 149 0 22 Oct 2019
Semantics for Global and Local Interpretation of Deep Neural Networks Jindong Gu Volker Tresp AI4CE 74 14 0 21 Oct 2019