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

7 October 2016

Ramprasaath R. Selvaraju

Devi Parikh

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

50 / 2,314 papers shown

Title
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 11 36 0 16 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 25 198 0 12 Apr 2019
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations Jiwoon Ahn Sunghyun Cho Suha Kwak ISeg SSeg 76 539 0 10 Apr 2019
Software and application patterns for explanation methods Maximilian Alber 38 11 0 09 Apr 2019
Regression Concept Vectors for Bidirectional Explanations in Histopathology Mara Graziani Vincent Andrearczyk Henning Muller 47 78 0 09 Apr 2019
Relation-Aware Global Attention for Person Re-identification Zhizheng Zhang Cuiling Lan Wenjun Zeng Xin Jin Zhibo Chen 3DPC 28 476 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 19 214 0 04 Apr 2019
Interpreting Adversarial Examples by Activation Promotion and Suppression Kaidi Xu Sijia Liu Gaoyuan Zhang Mengshu Sun Pu Zhao Quanfu Fan Chuang Gan X. Lin AAML FAtt 24 43 0 03 Apr 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 23 42 0 28 Mar 2019
Deep Co-Training for Semi-Supervised Image Segmentation Jizong Peng Guillermo Estrada M. Pedersoli Christian Desrosiers 37 179 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 13 82 0 26 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 12 17 0 14 Mar 2019
Interpreting and Understanding Graph Convolutional Neural Network using Gradient-based Attribution Method Shangsheng Xie Mingming Lu FAtt GNN 36 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 25 119 0 01 Mar 2019
Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images Ruizhi Liao Jonathan Rubin Grace Y. Lam Seth Berkowitz Sandeep Dalal W. Wells Steven Horng Polina Golland 27 13 0 27 Feb 2019
From explanation to synthesis: Compositional program induction for learning from demonstration Michael G. Burke Svetlin Penkov S. Ramamoorthy 25 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 24 422 0 27 Feb 2019
Deep Discriminative Representation Learning with Attention Map for Scene Classification Jun Yu Li Daoyu Lin Yang Wang Guangluan Xu C. Ding 28 81 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 24 79 0 18 Feb 2019
Min-Entropy Latent Model for Weakly Supervised Object Detection Fang Wan Pengxu Wei Zhenjun Han Jianbin Jiao QiXiang Ye WSOD 22 216 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 29 200 0 15 Feb 2019
Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System Joseph Paul Cohen Paul Bertin Vincent Frappier OOD MedIm 37 68 0 31 Jan 2019
Human-Centered Artificial Intelligence and Machine Learning Mark O. Riedl SyDa 35 261 0 31 Jan 2019
On the (In)fidelity and Sensitivity for Explanations Chih-Kuan Yeh Cheng-Yu Hsieh A. Suggala David I. Inouye Pradeep Ravikumar FAtt 39 449 0 27 Jan 2019
PadChest: A large chest x-ray image dataset with multi-label annotated reports A. Bustos A. Pertusa J. M. Salinas M. Iglesia-Vayá LM&MA 22 603 0 22 Jan 2019
Visual Entailment: A Novel Task for Fine-Grained Image Understanding Ning Xie Farley Lai Derek Doran Asim Kadav CoGe 51 322 0 20 Jan 2019
Explaining Explanations to Society Leilani H. Gilpin Cecilia Testart Nathaniel Fruchter Julius Adebayo XAI 24 34 0 19 Jan 2019
Interpretable machine learning: definitions, methods, and applications W. James Murdoch Chandan Singh Karl Kumbier R. Abbasi-Asl Bin-Xia Yu XAI HAI 47 1,421 0 14 Jan 2019
The Deeper, the Better: Analysis of Person Attributes Recognition Esube Bekele W. Lawson CVBM 29 21 0 11 Jan 2019
Low-Cost Transfer Learning of Face Tasks T. John Isha Dua V. Balasubramanian C. V. Jawahar CLIP CVBM VLM 13 0 0 09 Jan 2019
Interpretable CNNs for Object Classification Quanshi Zhang Xin Wang Ying Nian Wu Huilin Zhou Song-Chun Zhu 8 54 0 08 Jan 2019
Enhancing Sound Texture in CNN-Based Acoustic Scene Classification Yuzhong Wu Tan Lee 20 39 0 06 Jan 2019
Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering Quanshi Zhang Ruiming Cao Ying Nian Wu Song-Chun Zhu 6 14 0 18 Dec 2018
Explaining Neural Networks Semantically and Quantitatively Runjin Chen Hao Chen Ge Huang Jie Ren Quanshi Zhang FAtt 23 54 0 18 Dec 2018
Interactive Naming for Explaining Deep Neural Networks: A Formative Study M. Hamidi-Haines Zhongang Qi Alan Fern Fuxin Li Prasad Tadepalli FAtt HAI 19 11 0 18 Dec 2018
Adversarial Framing for Image and Video Classification Konrad Zolna Michal Zajac Negar Rostamzadeh Pedro H. O. Pinheiro AAML 30 60 0 11 Dec 2018
Grounded Human-Object Interaction Hotspots from Video Tushar Nagarajan Christoph Feichtenhofer Kristen Grauman 29 159 0 11 Dec 2018
Understanding Individual Decisions of CNNs via Contrastive Backpropagation Jindong Gu Yinchong Yang Volker Tresp FAtt 17 94 0 05 Dec 2018
Multimodal Explanations by Predicting Counterfactuality in Videos Atsushi Kanehira Kentaro Takemoto S. Inayoshi Tatsuya Harada 26 35 0 04 Dec 2018
Interpretable Deep Learning under Fire Xinyang Zhang Ningfei Wang Hua Shen S. Ji Xiapu Luo Ting Wang AAML AI4CE 27 169 0 03 Dec 2018
Deep Learning Architect: Classification for Architectural Design through the Eye of Artificial Intelligence Yuji Yoshimura B. Cai Zhoutong Wang C. Ratti 28 47 0 03 Dec 2018
MIST: Multiple Instance Spatial Transformer Network Baptiste Angles Shahram Izadi Simon Kornblith Andrea Tagliasacchi K. M. Yi 30 5 0 26 Nov 2018
Predicting Gender from Iris Texture May Be Harder Than It Seems Andrey Kuehlkamp Kevin W. Bowyer CVBM 18 17 0 25 Nov 2018
Explicit Bias Discovery in Visual Question Answering Models Varun Manjunatha Nirat Saini L. Davis CML FAtt 19 92 0 19 Nov 2018
Multimodal Densenet Faisal Mahmood Ziyun Yang Thomas Ashley Nicholas J. Durr 21 11 0 18 Nov 2018
Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing Ryosuke Furuta Naoto Inoue T. Yamasaki 24 52 0 10 Nov 2018
Explaining Deep Learning Models - A Bayesian Non-parametric Approach Wenbo Guo Sui Huang Yunzhe Tao Masashi Sugiyama Lin Lin BDL 11 47 0 07 Nov 2018
Semantic bottleneck for computer vision tasks Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard 16 15 0 06 Nov 2018
Classifying and Visualizing Emotions with Emotional DAN Ivona Tautkute Tomasz Trzciñski CVBM 30 16 0 23 Oct 2018
Machine Learning Methods for Track Classification in the AT-TPC M. Kuchera R. Ramanujan Jack Z. Taylor R. Strauss D. Bazin J. Bradt Ruiming Chen 21 32 0 21 Oct 2018