Grad-CAM: Why did you say that?

22 November 2016

Ramprasaath R. Selvaraju

Devi Parikh

Papers citing "Grad-CAM: Why did you say that?"

50 / 59 papers shown

Title
From Visual Explanations to Counterfactual Explanations with Latent Diffusion Tung Luu Nam Le Duc Le Bac Le DiffM AAML FAtt 50 0 0 12 Apr 2025
Building Bridges, Not Walls -- Advancing Interpretability by Unifying Feature, Data, and Model Component Attribution Shichang Zhang Tessa Han Usha Bhalla Hima Lakkaraju FAtt 150 0 0 17 Feb 2025
MedGrad E-CLIP: Enhancing Trust and Transparency in AI-Driven Skin Lesion Diagnosis Sadia Kamal Tim Oates MedIm 44 0 0 12 Jan 2025
ORB-SfMLearner: ORB-Guided Self-supervised Visual Odometry with Selective Online Adaptation Yanlin Jin Rui-Yang Ju Haojun Liu Yuzhong Zhong 34 0 0 18 Sep 2024
I2AM: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps Junseo Park Hyeryung Jang 81 0 0 17 Jul 2024
Towards A Comprehensive Visual Saliency Explanation Framework for AI-based Face Recognition Systems Yuhang Lu Zewei Xu Touradj Ebrahimi CVBM FAtt XAI 49 3 0 08 Jul 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 78 1 0 21 Jun 2024
Evaluating the Explainable AI Method Grad-CAM for Breath Classification on Newborn Time Series Data Camelia Oprea Mike Grüne Mateusz Buglowski Lena Olivier Thorsten Orlikowsky Stefan Kowalewski M. Schoberer André Stollenwerk AI4TS 26 0 0 13 May 2024
DAWN: Domain-Adaptive Weakly Supervised Nuclei Segmentation via Cross-Task Interactions Ye Zhang Yifeng Wang Zijie Fang Hao Bian Linghan Cai Ziyue Wang Yongbing Zhang 38 3 0 23 Apr 2024
On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis Abhilekha Dalal R. Rayan Adrita Barua Eugene Y. Vasserman Md Kamruzzaman Sarker Pascal Hitzler 30 4 0 21 Apr 2024
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape Tiejin Chen Wenwang Huang Linsey Pang Dongsheng Luo Hua Wei OOD 49 0 0 09 Mar 2024
Guarantee Regions for Local Explanations Marton Havasi S. Parbhoo Finale Doshi-Velez FAtt AAML 25 0 0 20 Feb 2024
Progressive Attention Guidance for Whole Slide Vulvovaginal Candidiasis Screening Jiangdong Cai Honglin Xiong Mao-Hong Cao Luyan Liu Lichi Zhang Qian Wang 15 4 0 06 Sep 2023
SAfER: Layer-Level Sensitivity Assessment for Efficient and Robust Neural Network Inference Edouard Yvinec Arnaud Dapogny Kévin Bailly Xavier Fischer AAML 10 2 0 09 Aug 2023
On Transferability of Driver Observation Models from Simulated to Real Environments in Autonomous Cars Walter Morales-Alvarez N. Certad Alina Roitberg Rainer Stiefelhagen Cristina Olaverri-Monreal 28 2 0 31 Jul 2023
Reading Radiology Imaging Like The Radiologist Yuhao Wang MedIm 34 0 0 12 Jul 2023
Novel Pipeline for Diagnosing Acute Lymphoblastic Leukemia Sensitive to Related Biomarkers Amirhossein Askari-Farsangi A. Sharifi-Zarchi M. Rohban LM&MA 37 0 0 08 Jul 2023
Can We Trust Explainable AI Methods on ASR? An Evaluation on Phoneme Recognition Xiao-lan Wu P. Bell A. Rajan 19 5 0 29 May 2023
Towards Learning and Explaining Indirect Causal Effects in Neural Networks Abbaavaram Gowtham Reddy Saketh Bachu Harsh Nilesh Pathak Ben Godfrey V. Balasubramanian V. Varshaneya Satya Narayanan Kar CML 31 0 0 24 Mar 2023
Model Doctor for Diagnosing and Treating Segmentation Error Zhijie Jia Lin Chen Kaiwen Hu Lechao Cheng Zunlei Feng Min-Gyoo Song 26 0 0 17 Feb 2023
ACQ: Improving Generative Data-free Quantization Via Attention Correction Jixing Li Xiaozhou Guo Benzhe Dai Guoliang Gong Min Jin Gang Chen Wenyu Mao Huaxiang Lu MQ 30 4 0 18 Jan 2023
ExploreADV: Towards exploratory attack for Neural Networks Tianzuo Luo Yuyi Zhong S. Khoo AAML 24 1 0 01 Jan 2023
On the Relationship Between Explanation and Prediction: A Causal View Amir-Hossein Karimi Krikamol Muandet Simon Kornblith Bernhard Schölkopf Been Kim FAtt CML 37 14 0 13 Dec 2022
Computational pathology in renal disease: a comprehensive perspective M. Cossio MedIm 33 1 0 18 Oct 2022
Racial Bias in the Beautyverse Piera Riccio Nuria Oliver 19 1 0 28 Sep 2022
Zero-shot Active Visual Search (ZAVIS): Intelligent Object Search for Robotic Assistants Jeongeun Park Taerim Yoon Jejoon Hong Youngjae Yu Matthew K. X. J. Pan Sungjoon Choi 43 13 0 19 Sep 2022
DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation Bum Chul Kwon Jungsoo Lee Chaeyeon Chung Nyoungwoo Lee Ho-Jin Choi Jaegul Choo 39 10 0 14 Sep 2022
Multi-task UNet: Jointly Boosting Saliency Prediction and Disease Classification on Chest X-ray Images Hongzhi Zhu R. Rohling Septimiu Salcudean 19 4 0 15 Feb 2022
Soundify: Matching Sound Effects to Video David Chuan-En Lin Anastasis Germanidis Cristobal Valenzuela Yining Shi Nikolas Martelaro 30 16 0 17 Dec 2021
High Fidelity Visualization of What Your Self-Supervised Representation Knows About Florian Bordes Randall Balestriero Pascal Vincent DiffM 25 61 0 16 Dec 2021
A Practical guide on Explainable AI Techniques applied on Biomedical use case applications Adrien Bennetot Ivan Donadello Ayoub El Qadi M. Dragoni Thomas Frossard ... M. Trocan Raja Chatila Andreas Holzinger Artur Garcez Natalia Díaz Rodríguez XAI 32 7 0 13 Nov 2021
Explainable Deep Reinforcement Learning for Portfolio Management: An Empirical Approach Mao Guan Xiao-Yang Liu AIFin AI4TS 21 20 0 07 Nov 2021
A deep convolutional neural network for classification of Aedes albopictus mosquitoes Gereziher W. Adhane Mohammad Mahdi Dehshibi David Masip 11 22 0 29 Oct 2021
SCALP -- Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata Ajay Jaiswal Tianhao Li Cyprian Zander Yan Han Justin F. Rousseau Yifan Peng Ying Ding 36 14 0 27 Oct 2021
A Review on Explainability in Multimodal Deep Neural Nets Gargi Joshi Rahee Walambe K. Kotecha 29 139 0 17 May 2021
Information-theoretic Evolution of Model Agnostic Global Explanations Sukriti Verma Nikaash Puri Piyush B. Gupta Balaji Krishnamurthy FAtt 29 0 0 14 May 2021
Improving Attribution Methods by Learning Submodular Functions Piyushi Manupriya Tarun Ram Menta S. Jagarlapudi V. Balasubramanian TDI 24 6 0 19 Apr 2021
Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images M. J. Horry Subrata Chakraborty B. Pradhan M. Paul D. Gomes Anwaar-ul Haq 23 11 0 10 Dec 2020
Meta-trained agents implement Bayes-optimal agents Vladimir Mikulik Grégoire Delétang Tom McGrath Tim Genewein Miljan Martic Shane Legg Pedro A. Ortega OOD FedML 35 40 0 21 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 37 45 0 04 Oct 2020
Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring Nijat Mehdiyev Peter Fettke AI4TS 25 55 0 04 Sep 2020
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases Senthil Purushwalkam Abhinav Gupta SSL 31 213 0 28 Jul 2020
Concept Learners for Few-Shot Learning Kaidi Cao Maria Brbic J. Leskovec VLM OffRL 30 4 0 14 Jul 2020
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images Delong Chen Shunhui Ji Fan Liu Zewen Li Xinyu Zhou MedIm 27 11 0 09 Jun 2020
Deep Learning for Wireless Communications T. Erpek Tim O'Shea Y. Sagduyu Yi Shi T. Clancy 34 134 0 12 May 2020
Explaining AI-based Decision Support Systems using Concept Localization Maps Adriano Lucieri Muhammad Naseer Bajwa Andreas Dengel Sheraz Ahmed 27 26 0 04 May 2020
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations S. Sreedharan Utkarsh Soni Mudit Verma Siddharth Srivastava S. Kambhampati 76 30 0 04 Feb 2020
CheXplain: Enabling Physicians to Explore and UnderstandData-Driven, AI-Enabled Medical Imaging Analysis Yao Xie Melody Chen David Kao Ge Gao Xiang Ánthony' Chen 31 126 0 15 Jan 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 37 6,111 0 22 Oct 2019
Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms Z. Q. Lin M. Shafiee S. Bochkarev Michael St. Jules Xiao Yu Wang A. Wong FAtt 29 80 0 16 Oct 2019