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 / 2,150 papers shown

Title
PoisHygiene: Detecting and Mitigating Poisoning Attacks in Neural Networks Junfeng Guo Zelun Kong Cong Liu AAML 19 1 0 24 Mar 2020
Explainable Object-induced Action Decision for Autonomous Vehicles Yiran Xu Xiaoyin Yang Lihang Gong Hsuan-Chu Lin Tz-Ying Wu Yunsheng Li Nuno Vasconcelos 30 104 0 20 Mar 2020
Few-Shot Learning with Geometric Constraints Hong G Jung Seong-Whan Lee 28 49 0 20 Mar 2020
End-to-End Deep Diagnosis of X-ray Images Kudaibergen Urinbayev Yerassyl Orazbek Yernur Nurambek A. Mirzakhmetov H. A. Varol MedIm 28 12 0 19 Mar 2020
MINT: Deep Network Compression via Mutual Information-based Neuron Trimming Madan Ravi Ganesh Jason J. Corso Salimeh Yasaei Sekeh MQ 43 15 0 18 Mar 2020
Multi-task Learning with Coarse Priors for Robust Part-aware Person Re-identification Changxing Ding Kan Wang Pengfei Wang Dacheng Tao 22 63 0 18 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 44 82 0 17 Mar 2020
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI L. Arras Ahmed Osman Wojciech Samek XAI AAML 21 150 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 28 18 0 16 Mar 2020
GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image Translation via Attribute Gaussian Mixture Modeling Yahui Liu Marco De Nadai Jian Yao N. Sebe Bruno Lepri Xavier Alameda-Pineda 19 25 0 15 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 16 39 0 13 Mar 2020
Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis Ophir Gozes Maayan Frid-Adar H. Greenspan P. Browning Huangqi Zhang W.-B. Ji Adam Bernheim E. Siegel OOD 6 798 0 10 Mar 2020
GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention Jiyang Xie Dongliang Chang Zhanyu Ma Guoqiang Zhang Jun Guo 26 25 0 10 Mar 2020
IROF: a low resource evaluation metric for explanation methods Laura Rieger Lars Kai Hansen 28 55 0 09 Mar 2020
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation Raha Moraffah Mansooreh Karami Ruocheng Guo A. Raglin Huan Liu CML ELM XAI 27 213 0 09 Mar 2020
Dynamic Backdoor Attacks Against Machine Learning Models A. Salem Rui Wen Michael Backes Shiqing Ma Yang Zhang AAML 39 270 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 22 2 0 05 Mar 2020
A Question-Centric Model for Visual Question Answering in Medical Imaging Minh H. Vu Tommy Löfstedt T. Nyholm Raphael Sznitman MedIm 19 59 0 02 Mar 2020
Deep Attention Aware Feature Learning for Person Re-Identification Yifan Chen Han Wang Xiaolu Sun Bin Fan Chunrui Tang 28 69 0 01 Mar 2020
A Study on Multimodal and Interactive Explanations for Visual Question Answering Kamran Alipour J. Schulze Yi Yao Avi Ziskind Giedrius Burachas 32 27 0 01 Mar 2020
Do CNNs Encode Data Augmentations? Eddie Q. Yan Yanping Huang OOD 13 5 0 29 Feb 2020
Towards Interpretable Semantic Segmentation via Gradient-weighted Class Activation Mapping Kira Vinogradova Alexandr Dibrov E. Myers FAtt 20 147 0 26 Feb 2020
CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting Pranav Rajpurkar Anirudh Joshi Anuj Pareek Phil Chen Amirhossein Kiani Jeremy Irvin A. Ng M. Lungren LM&MA 19 49 0 26 Feb 2020
Defending against Backdoor Attack on Deep Neural Networks Kaidi Xu Sijia Liu Pin-Yu Chen Pu Zhao X. Lin Xue Lin AAML 21 47 0 26 Feb 2020
LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis Q. H. Cap H. Uga S. Kagiwada Hitoshi Iyatomi MedIm 27 144 0 24 Feb 2020
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation Sicheng Zhao Bo-wen Li Xiangyu Yue Pengfei Xu Kurt Keutzer OOD 46 64 0 19 Feb 2020
Learning Global Transparent Models Consistent with Local Contrastive Explanations Tejaswini Pedapati Avinash Balakrishnan Karthikeyan Shanmugam Amit Dhurandhar FAtt 22 0 0 19 Feb 2020
Gradient-Adjusted Neuron Activation Profiles for Comprehensive Introspection of Convolutional Speech Recognition Models A. Krug Sebastian Stober 24 0 0 19 Feb 2020
Large-scale biometry with interpretable neural network regression on UK Biobank body MRI Taro Langner Robin Strand H. Ahlström J. Kullberg 31 22 0 17 Feb 2020
Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks M. Leming Juan M Gorriz J. Suckling 14 51 0 14 Feb 2020
An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos Sicheng Zhao Yunsheng Ma Yang Gu Jufeng Yang Tengfei Xing Pengfei Xu Runbo Hu Hua Chai Kurt Keutzer 11 98 0 12 Feb 2020
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification Dongliang Chang Yifeng Ding Jiyang Xie A. Bhunia Xiaoxu Li Zhanyu Ma Ming Wu Jun Guo Yi-Zhe Song 32 300 0 11 Feb 2020
$Weakly-Supervised Multi-Person Action Recognition in 360$^{\circ}$ Videos$ Weakly-Supervised Multi-Person Action Recognition in 360 $^{\circ}$ Videos Junnan Li Jianquan Liu Yongkang Wong Shoji Nishimura Mohan S. Kankanhalli 23 13 0 09 Feb 2020
OoDAnalyzer: Interactive Analysis of Out-of-Distribution Samples Changjian Chen Jun Yuan Yafeng Lu Yang Liu Hang Su Songtao Yuan Shixia Liu OODD 26 63 0 08 Feb 2020
Feature-map-level Online Adversarial Knowledge Distillation Inseop Chung Seonguk Park Jangho Kim Nojun Kwak GAN 25 128 0 05 Feb 2020
Concept Whitening for Interpretable Image Recognition Zhi Chen Yijie Bei Cynthia Rudin FAtt 31 314 0 05 Feb 2020
Supporting DNN Safety Analysis and Retraining through Heatmap-based Unsupervised Learning Hazem M. Fahmy F. Pastore M. Bagherzadeh Lionel C. Briand AI4CE AAML 43 30 0 03 Feb 2020
Interpretability of Blackbox Machine Learning Models through Dataview Extraction and Shadow Model creation Rupam Patir Shubham Singhal C. Anantaram Vikram Goyal 13 0 0 02 Feb 2020
Interpreting video features: a comparison of 3D convolutional networks and convolutional LSTM networks Joonatan Mänttäri Sofia Broomé John Folkesson Hedvig Kjellström FAtt 21 27 0 02 Feb 2020
Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas Nishant Kumar Nico Hoffmann M. Kirsch Stefan Gumhold MedIm 19 3 0 26 Jan 2020
Localization of Critical Findings in Chest X-Ray without Local Annotations Using Multi-Instance Learning Evan Schwab A. Gooßen Hrishikesh Deshpande A. Saalbach 4 19 0 23 Jan 2020
Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study Nathaniel Braman M. Adoui M. Vulchi P. Turk M. Etesami ... V. Varadan D. Plecha M. Benjelloun J. Abraham A. Madabhushi 17 22 0 22 Jan 2020
Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks Oliver Willers Sebastian Sudholt Shervin Raafatnia Stephanie Abrecht 28 80 0 22 Jan 2020
SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation Jesse Sun Fatemeh Darbeha M. Zaidi Bo Wang AAML 19 110 0 21 Jan 2020
Deceptive AI Explanations: Creation and Detection Johannes Schneider Christian Meske Michalis Vlachos 19 28 0 21 Jan 2020
Evaluating Weakly Supervised Object Localization Methods Right Junsuk Choe Seong Joon Oh Seungho Lee Sanghyuk Chun Zeynep Akata Hyunjung Shim WSOL 300 186 0 21 Jan 2020
Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition S. Raschka Benjamin Kaufman AI4CE 24 67 0 17 Jan 2020
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet Sizhe Chen Zhengbao He Chengjin Sun Jie-jin Yang Xiaolin Huang AAML 31 103 0 16 Jan 2020
Making deep neural networks right for the right scientific reasons by interacting with their explanations P. Schramowski Wolfgang Stammer Stefano Teso Anna Brugger Xiaoting Shao Hans-Georg Luigs Anne-Katrin Mahlein Kristian Kersting 37 207 0 15 Jan 2020
Relevance Prediction from Eye-movements Using Semi-interpretable Convolutional Neural Networks Nilavra Bhattacharya Somnath Rakshit J. Gwizdka P. Kogut 13 25 0 15 Jan 2020