This Looks Like That: Deep Learning for Interpretable Image Recognition

27 June 2018

Papers citing "This Looks Like That: Deep Learning for Interpretable Image Recognition"

50 / 602 papers shown

Title
A Concept and Argumentation based Interpretable Model in High Risk Domains Haixiao Chi Dawei Wang Gaojie Cui Feng Mao Beishui Liao 21 1 0 17 Aug 2022
E Pluribus Unum Interpretable Convolutional Neural Networks George Dimas Eirini Cholopoulou D. Iakovidis 15 3 0 10 Aug 2022
INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical Examples L. Hesse Ana I. L. Namburete FAtt 17 9 0 31 Jul 2022
Leveraging Explanations in Interactive Machine Learning: An Overview Stefano Teso Öznur Alkan Wolfgang Stammer Elizabeth M. Daly XAI FAtt LRM 26 62 0 29 Jul 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks Tilman Raukur A. Ho Stephen Casper Dylan Hadfield-Menell AAML AI4CE 23 124 0 27 Jul 2022
XADLiME: eXplainable Alzheimer's Disease Likelihood Map Estimation via Clinically-guided Prototype Learning A. Mulyadi Wonsik Jung Kwanseok Oh Jee Seok Yoon Heung-Il Suk MedIm 14 2 0 27 Jul 2022
Visual correspondence-based explanations improve AI robustness and human-AI team accuracy Giang Nguyen Mohammad Reza Taesiri Anh Totti Nguyen 30 42 0 26 Jul 2022
Equivariant and Invariant Grounding for Video Question Answering Yicong Li Xiang Wang Junbin Xiao Tat-Seng Chua 20 25 0 26 Jul 2022
Inter-model Interpretability: Self-supervised Models as a Case Study Ahmad Mustapha Wael Khreich Wassim Masri SSL 11 0 0 24 Jul 2022
Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions Zhi Li Lu He Huijuan Xu 18 13 0 24 Jul 2022
Learning Unsupervised Hierarchies of Audio Concepts Darius Afchar Romain Hennequin Vincent Guigue 43 2 0 21 Jul 2022
Overlooked factors in concept-based explanations: Dataset choice, concept learnability, and human capability V. V. Ramaswamy Sunnie S. Y. Kim Ruth C. Fong Olga Russakovsky FAtt 24 27 0 20 Jul 2022
MDM: Multiple Dynamic Masks for Visual Explanation of Neural Networks Yitao Peng Longzhen Yang Yihang Liu Lianghua He 14 0 0 17 Jul 2022
Interpretability by design using computer vision for behavioral sensing in child and adolescent psychiatry F. Frumosu N. Lønfeldt A. C. Mora-Jensen Sneha Das N. Lund A. Pagsberg Line H. Clemmensen 22 2 0 11 Jul 2022
Calibrate to Interpret Gregory Scafarto N. Posocco Antoine Bonnefoy FaML 11 3 0 07 Jul 2022
Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models Xuhong Li Haoyi Xiong Yi Liu Dingfu Zhou Zeyu Chen Yaqing Wang Dejing Dou 21 7 0 04 Jul 2022
Interpretable by Design: Learning Predictors by Composing Interpretable Queries Aditya Chattopadhyay Stewart Slocum B. Haeffele René Vidal D. Geman 26 21 0 03 Jul 2022
PARTICUL: Part Identification with Confidence measure using Unsupervised Learning Romain Xu-Darme Georges Quénot Zakaria Chihani M. Rousset 19 7 0 27 Jun 2022
PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning Simone Martone Francesco Manigrasso Lamberti Fabrizio Lia Morra 34 3 0 26 Jun 2022
A Dynamic Data Driven Approach for Explainable Scene Understanding Z. Daniels Dimitris N. Metaxas FAtt 17 3 0 18 Jun 2022
ELUDE: Generating interpretable explanations via a decomposition into labelled and unlabelled features V. V. Ramaswamy Sunnie S. Y. Kim Nicole Meister Ruth C. Fong Olga Russakovsky FAtt 19 14 0 15 Jun 2022
The Manifold Hypothesis for Gradient-Based Explanations Sebastian Bordt Uddeshya Upadhyay Zeynep Akata U. V. Luxburg FAtt AAML 28 12 0 15 Jun 2022
Memory Classifiers: Two-stage Classification for Robustness in Machine Learning Souradeep Dutta Yahan Yang E. Bernardis Yan Sun Insup Lee OOD VLM 10 4 0 10 Jun 2022
ECLAD: Extracting Concepts with Local Aggregated Descriptors Andres Felipe Posada-Moreno N. Surya Sebastian Trimpe 20 13 0 09 Jun 2022
DORA: Exploring Outlier Representations in Deep Neural Networks Kirill Bykov Mayukh Deb Dennis Grinwald Klaus-Robert Muller Marina M.-C. Höhne 24 12 0 09 Jun 2022
From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation Reduan Achtibat Maximilian Dreyer Ilona Eisenbraun S. Bosse Thomas Wiegand Wojciech Samek Sebastian Lapuschkin FAtt 30 131 0 07 Jun 2022
Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images Daniel Flores-Araiza F. Lopez-Tiro Elias Villalvazo-Avila Jonathan El Beze Jacques Hubert G. Ochoa-Ruiz C. Daul 24 4 0 01 Jun 2022
Concept-level Debugging of Part-Prototype Networks A. Bontempelli Stefano Teso Katya Tentori Fausto Giunchiglia Andrea Passerini 24 52 0 31 May 2022
GlanceNets: Interpretabile, Leak-proof Concept-based Models Emanuele Marconato Andrea Passerini Stefano Teso 106 64 0 31 May 2022
Scalable Interpretability via Polynomials Abhimanyu Dubey Filip Radenovic D. Mahajan 15 30 0 27 May 2022
Prototype Based Classification from Hierarchy to Fairness Mycal Tucker J. Shah FaML 14 6 0 27 May 2022
TSEM: Temporally Weighted Spatiotemporal Explainable Neural Network for Multivariate Time Series Anh-Duy Pham Anastassia Kuestenmacher P. Ploeger AI4TS 16 4 0 25 May 2022
Informed Pre-Training on Prior Knowledge Laura von Rueden Sebastian Houben K. Cvejoski Christian Bauckhage Nico Piatkowski 32 6 0 23 May 2022
Learnable Visual Words for Interpretable Image Recognition Wenxi Xiao Zhengming Ding Hongfu Liu VLM 25 2 0 22 May 2022
B-cos Networks: Alignment is All We Need for Interpretability Moritz D Boehle Mario Fritz Bernt Schiele 42 85 0 20 May 2022
Constructive Interpretability with CoLabel: Corroborative Integration, Complementary Features, and Collaborative Learning Abhijit Suprem Sanjyot Vaidya Suma Cherkadi Purva Singh J. E. Ferreira C. Pu 40 1 0 20 May 2022
Explainable Supervised Domain Adaptation V. Kamakshi N. C. Krishnan 35 2 0 20 May 2022
Comparison of attention models and post-hoc explanation methods for embryo stage identification: a case study T. Gomez Thomas Fréour Harold Mouchère 19 3 0 13 May 2022
A Safety Assurable Human-Inspired Perception Architecture Rick Salay Krzysztof Czarnecki AAML AI4CE 23 1 0 10 May 2022
Explainable Deep Learning Methods in Medical Image Classification: A Survey Cristiano Patrício João C. Neves Luís F. Teixeira XAI 24 52 0 10 May 2022
One Model to Synthesize Them All: Multi-contrast Multi-scale Transformer for Missing Data Imputation Jiang Liu Srivathsa Pasumarthi B. Duffy Enhao Gong Keshav Datta Greg Zaharchuk ViT MedIm 16 55 0 28 Apr 2022
Proto2Proto: Can you recognize the car, the way I do? Monish Keswani Sriranjani Ramakrishnan Nishant Reddy V. Balasubramanian 8 26 0 25 Apr 2022
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset Leon Sixt M. Schuessler Oana-Iuliana Popescu Philipp Weiß Tim Landgraf FAtt 29 14 0 25 Apr 2022
Perception Visualization: Seeing Through the Eyes of a DNN Loris Giulivi Mark J. Carman Giacomo Boracchi 18 6 0 21 Apr 2022
Automatic detection of glaucoma via fundus imaging and artificial intelligence: A review Lauren Coan Bryan M. Williams V. Adithya S. Upadhyaya S. Czanner R. Venkatesh C. Willoughby Kavitha Srinivasan G. Czanner 19 64 0 12 Apr 2022
ProtoTEx: Explaining Model Decisions with Prototype Tensors Anubrata Das Chitrank Gupta Venelin Kovatchev Matthew Lease J. Li 26 26 0 11 Apr 2022
Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention Yu Yang Seung Wook Kim Jungseock Joo FAtt 11 17 0 10 Apr 2022
Towards Reliable and Explainable AI Model for Solid Pulmonary Nodule Diagnosis Chenglong Wang Yun-hui Liu Feng-Liang Wang Chengxiu Zhang Yida Wang Mei Yuan Guangze Yang 20 4 0 08 Apr 2022
Attribute Prototype Network for Any-Shot Learning Wenjia Xu Yongqin Xian Jiuniu Wang Bernt Schiele Zeynep Akata VLM 29 37 0 04 Apr 2022
Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries Haekyu Park Seongmin Lee Benjamin Hoover Austin P. Wright Omar Shaikh Rahul Duggal Nilaksh Das Kevin Li Judy Hoffman Duen Horng Chau 24 2 0 30 Mar 2022