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Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

7 October 2016

Ramprasaath R. Selvaraju

Devi Parikh

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Papers citing "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization"

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Explainability in Human-Agent Systems A. Rosenfeld A. Richardson XAI 83 206 0 17 Apr 2019
HARK Side of Deep Learning -- From Grad Student Descent to Automated Machine Learning O. Gencoglu M. Gils E. Guldogan Chamin Morikawa Mehmet Süzen M. Gruber J. Leinonen H. Huttunen 98 36 0 16 Apr 2019
Deep neural networks can predict mortality from 12-lead electrocardiogram voltage data S. Raghunath Alvaro E. Ulloa Cerna Linyuan Jing David P. vanMaanen Joshua V. Stough ... B. Delisle Amro Alsaid Dominik Beer C. Haggerty Brandon K. Fornwalt 43 185 0 15 Apr 2019
Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data A. Tiulpin S. Klein S. Bierma-Zeinstra J. Thevenot Esa Rahtu J. Meurs E. H. Oei S. Saarakkala AI4CE 70 206 0 12 Apr 2019
Interpretable Classification from Skin Cancer Histology Slides Using Deep Learning: A Retrospective Multicenter Study P. Xie K. Zuo Yu Zhang Fangfang Li Mingzhu Yin K. Lu MedIm 34 33 0 12 Apr 2019
An Analysis of Pre-Training on Object Detection Hengduo Li Bharat Singh Mahyar Najibi Zuxuan Wu L. Davis ObjD 60 39 0 11 Apr 2019
Attentive Action and Context Factorization Yanjie Wang Vinh Tran Gedas Bertasius Lorenzo Torresani Minh Hoai 31 6 0 10 Apr 2019
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations Jiwoon Ahn Sunghyun Cho Suha Kwak ISeg SSeg 196 546 0 10 Apr 2019
Software and application patterns for explanation methods Maximilian Alber 80 11 0 09 Apr 2019
Regression Concept Vectors for Bidirectional Explanations in Histopathology Mara Graziani Vincent Andrearczyk Henning Muller 88 81 0 09 Apr 2019
Visualization of Convolutional Neural Networks for Monocular Depth Estimation Junjie Hu Yan Zhang Takayuki Okatani MDE 124 83 0 06 Apr 2019
Relation-Aware Global Attention for Person Re-identification Zhizheng Zhang Cuiling Lan Wenjun Zeng Xin Jin Zhibo Chen 3DPC 93 482 0 05 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 87 218 0 04 Apr 2019
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M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning Peng Zhou Long Mai Jianming Zhang N. Xu Zuxuan Wu L. Davis CLL VLM 85 55 0 03 Apr 2019
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents Christian Rupprecht Cyril Ibrahim C. Pal 96 32 0 02 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 74 372 0 02 Apr 2019
Res2Net: A New Multi-scale Backbone Architecture Shanghua Gao Ming-Ming Cheng Kai Zhao Xinyu Zhang Ming-Hsuan Yang Philip Torr 130 2,415 0 02 Apr 2019
Improving Object Detection with Inverted Attention Zeyi Huang Wei Ke Dong Huang 77 32 0 28 Mar 2019
InfoMask: Masked Variational Latent Representation to Localize Chest Disease Saeid Asgari Taghanaki Mohammad Havaei T. Berthier Francis Dutil Lisa Di-Jorio Ghassan Hamarneh Yoshua Bengio 128 42 0 28 Mar 2019
Do Not Trust Additive Explanations Alicja Gosiewska P. Biecek 73 42 0 27 Mar 2019
Deep Co-Training for Semi-Supervised Image Segmentation Jizong Peng Guillermo Estrada M. Pedersoli Christian Desrosiers 117 182 0 27 Mar 2019
Deep segmentation networks predict survival of non-small cell lung cancer Stephen Seung-Yeob Baek Yusen He B. Allen John Buatti Brian J. Smith ... S. Seyedin M. Gannon Katherine R. Cabel Yusung Kim Xiaodong Wu 41 84 0 26 Mar 2019
What Synthesis is Missing: Depth Adaptation Integrated with Weak Supervision for Indoor Scene Parsing Keng-Chi Liu Yi-Ting Shen Jan P. Klopp Liang-Gee Chen 40 6 0 23 Mar 2019
Efficient and Extensible Policy Mining for Relationship-Based Access Control Thang Bui Scott D. Stoller Hieu Le 41 18 0 18 Mar 2019
Attribution-driven Causal Analysis for Detection of Adversarial Examples Susmit Jha Sunny Raj S. Fernandes Sumit Kumar Jha S. Jha Gunjan Verma B. Jalaeian A. Swami AAML 69 17 0 14 Mar 2019
Spatial-Aware Non-Local Attention for Fashion Landmark Detection Yixin Li Shengqin Tang Yun Ye Jinwen Ma 42 23 0 11 Mar 2019
Interpreting and Understanding Graph Convolutional Neural Network using Gradient-based Attribution Method Shangsheng Xie Mingming Lu FAtt GNN 75 16 0 09 Mar 2019
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning Yizhe Zhu Jianwen Xie Zhiqiang Tang Xi Peng Ahmed Elgammal VLM 86 121 0 01 Mar 2019
From explanation to synthesis: Compositional program induction for learning from demonstration Michael G. Burke Svetlin Penkov S. Ramamoorthy 64 20 0 27 Feb 2019
FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference Jungbeom Lee Eunji Kim Sungmin Lee Jangho Lee Sungroh Yoon 98 422 0 27 Feb 2019
Functional Transparency for Structured Data: a Game-Theoretic Approach Guang-He Lee Wengong Jin David Alvarez-Melis Tommi Jaakkola 67 19 0 26 Feb 2019
Deep Discriminative Representation Learning with Attention Map for Scene Classification Jun Yu Li Daoyu Lin Yang Wang Guangluan Xu C. Ding 59 83 0 21 Feb 2019
Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering Ramakrishna Vedantam Karan Desai Stefan Lee Marcus Rohrbach Dhruv Batra Devi Parikh NAI BDL 90 87 0 21 Feb 2019
Regularizing Black-box Models for Improved Interpretability Gregory Plumb Maruan Al-Shedivat Ángel Alexander Cabrera Adam Perer Eric Xing Ameet Talwalkar AAML 95 80 0 18 Feb 2019
Min-Entropy Latent Model for Weakly Supervised Object Detection Fang Wan Pengxu Wei Zhenjun Han Jianbin Jiao QiXiang Ye WSOD 66 217 0 16 Feb 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions F. Altaf Syed Mohammed Shamsul Islam Naveed Akhtar N. Janjua OOD 108 201 0 15 Feb 2019
Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps Beomsu Kim Junghoon Seo Seunghyun Jeon Jamyoung Koo J. Choe Taegyun Jeon FAtt 74 70 0 13 Feb 2019
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Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded Ramprasaath R. Selvaraju Stefan Lee Yilin Shen Hongxia Jin Shalini Ghosh Larry Heck Dhruv Batra Devi Parikh FAtt VLM 76 255 0 11 Feb 2019
Paradigm shift in electron-based crystallography via machine learning Kevin Kaufmann Chaoyi Zhu Alexander S. Rosengarten Daniel Maryanovsky Tyler J. Harrington E. Marin K. Vecchio 55 116 0 10 Feb 2019
CHIP: Channel-wise Disentangled Interpretation of Deep Convolutional Neural Networks Xinrui Cui Dan Wang F. I. Z. Jane Wang FAtt BDL 36 12 0 07 Feb 2019
Fooling Neural Network Interpretations via Adversarial Model Manipulation Juyeon Heo Sunghwan Joo Taesup Moon AAML FAtt 123 205 0 06 Feb 2019
Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI Shane T. Mueller R. Hoffman W. Clancey Abigail Emrey Gary Klein XAI 76 285 0 05 Feb 2019
Learning Decision Trees Recurrently Through Communication Stephan Alaniz Diego Marcos Bernt Schiele Zeynep Akata 58 16 0 05 Feb 2019