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
Generalization Bounds for Few-Shot Transfer Learning with Pretrained Classifiers Tomer Galanti András Gyorgy Marcus Hutter VLM SSL 20 3 0 23 Dec 2022
Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu AAML 25 7 0 18 Dec 2022
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ Eoin Delaney A. Pakrashi Derek Greene Markt. Keane 35 15 0 16 Dec 2022
Explainability of Text Processing and Retrieval Methods: A Critical Survey Sourav Saha Debapriyo Majumdar Mandar Mitra 18 5 0 14 Dec 2022
Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks Qihan Huang Mengqi Xue Wenqi Huang Haofei Zhang Jie Song Yongcheng Jing Mingli Song AAML 24 26 0 12 Dec 2022
A Flexible Nadaraya-Watson Head Can Offer Explainable and Calibrated Classification Alan Q. Wang M. Sabuncu 30 5 0 07 Dec 2022
Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling Yifei Zhang Nengneng Gao Cunqing Ma 15 6 0 07 Dec 2022
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases Mazda Moayeri Wenxiao Wang Sahil Singla S. Feizi 69 14 0 05 Dec 2022
Generalized Category Discovery with Decoupled Prototypical Network Wenbin An Feng Tian Qinghua Zheng Wei Ding Qianying Wang Ping Chen 44 44 0 28 Nov 2022
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations Bin Wang Wenbin Pei Bing Xue Mengjie Zhang FAtt 33 3 0 28 Nov 2022
Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes Yiqiao Jin Xiting Wang Y. Hao Yizhou Sun Xing Xie 38 11 0 24 Nov 2022
OCTET: Object-aware Counterfactual Explanations Mehdi Zemni Mickaël Chen Éloi Zablocki H. Ben-younes Patrick Pérez Matthieu Cord AAML 29 29 0 22 Nov 2022
Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models Poulami Sinhamahapatra Lena Heidemann Maureen Monnet Karsten Roscher 39 5 0 22 Nov 2022
Explaining Image Classifiers with Multiscale Directional Image Representation Stefan Kolek Robert Windesheim Héctor Andrade-Loarca Gitta Kutyniok Ron Levie 29 4 0 22 Nov 2022
Self-Supervised 3D Traversability Estimation with Proxy Bank Guidance Jihwan Bae Junwon Seo Taekyung Kim Hae-Gon Jeon K. Kwak Inwook Shim 13 8 0 21 Nov 2022
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification Yue Yang Artemis Panagopoulou Shenghao Zhou Daniel Jin Chris Callison-Burch Mark Yatskar 40 211 0 21 Nov 2022
CRAFT: Concept Recursive Activation FacTorization for Explainability Thomas Fel Agustin Picard Louis Bethune Thibaut Boissin David Vigouroux Julien Colin Rémi Cadène Thomas Serre 19 102 0 17 Nov 2022
Learning unfolded networks with a cyclic group structure Emmanouil Theodosis Demba E. Ba 19 0 0 16 Nov 2022
Explaining Cross-Domain Recognition with Interpretable Deep Classifier Yiheng Zhang Ting Yao Zhaofan Qiu Tao Mei OOD 29 3 0 15 Nov 2022
Privacy Meets Explainability: A Comprehensive Impact Benchmark S. Saifullah Dominique Mercier Adriano Lucieri Andreas Dengel Sheraz Ahmed 29 14 0 08 Nov 2022
Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach Using IoT Jiaheng Xie Xiaohang Zhao Xiang Liu Xiao Fang OOD 36 2 0 08 Nov 2022
ProtoX: Explaining a Reinforcement Learning Agent via Prototyping Ronilo Ragodos Tong Wang Qihang Lin Xun Zhou 8 7 0 06 Nov 2022
Interpretable Geometric Deep Learning via Learnable Randomness Injection Siqi Miao Yunan Luo Miaoyuan Liu Pan Li 24 25 0 30 Oct 2022
An Interpretable Deep Semantic Segmentation Method for Earth Observation Ziyang Zhang Plamen Angelov Eduardo Soares Nicolas Longépé P. Mathieu 28 8 0 23 Oct 2022
Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations Yao Rong Tobias Leemann Thai-trang Nguyen Lisa Fiedler Peizhu Qian Vaibhav Unhelkar Tina Seidel Gjergji Kasneci Enkelejda Kasneci ELM 36 92 0 20 Oct 2022
Prompting through Prototype: A Prototype-based Prompt Learning on Pretrained Vision-Language Models Yue Zhang Hongliang Fei Dingcheng Li Tan Yu Ping Li VPVLM VLM 22 9 0 19 Oct 2022
A Symbolic Representation of Human Posture for Interpretable Learning and Reasoning Richard G. Freedman Joseph B. Mueller Jack Ladwig Steven Johnston David McDonald H. Wauck Ruta Wheelock Hayley Borck 12 1 0 17 Oct 2022
This Patient Looks Like That Patient: Prototypical Networks for Interpretable Diagnosis Prediction from Clinical Text Betty van Aken Jens-Michalis Papaioannou M. Naik G. Eleftheriadis Wolfgang Nejdl Felix Alexander Gers Alexander Loser 30 10 0 16 Oct 2022
Decoupling Deep Learning for Interpretable Image Recognition Yitao Peng Yihang Liu Longzhen Yang Lianghua He 8 6 0 15 Oct 2022
ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model Srishti Gautam Ahcène Boubekki Stine Hansen Suaiba Amina Salahuddin Robert Jenssen Marina M.-C. Höhne Michael C. Kampffmeyer 28 36 0 15 Oct 2022
Visual Classification via Description from Large Language Models Sachit Menon Carl Vondrick VLM 23 287 0 13 Oct 2022
Global Explainability of GNNs via Logic Combination of Learned Concepts Steve Azzolin Antonio Longa Pietro Barbiero Pietro Lio' Andrea Passerini 27 54 0 13 Oct 2022
Fine-grained Anomaly Detection in Sequential Data via Counterfactual Explanations He Cheng Depeng Xu Shuhan Yuan Xintao Wu AI4TS 35 3 0 09 Oct 2022
ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction Dawid Rymarczyk D. Dobrowolski Tomasz Danel 35 3 0 07 Oct 2022
Towards Prototype-Based Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 33 12 0 05 Oct 2022
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction Sunnie S. Y. Kim E. A. Watkins Olga Russakovsky Ruth C. Fong Andrés Monroy-Hernández 38 107 0 02 Oct 2022
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models Chong Wang Yuanhong Chen Yuyuan Liu Yu Tian Fengbei Liu Davis J. McCarthy M. Elliott Helen Frazer G. Carneiro 53 19 0 26 Sep 2022
Augmenting Interpretable Models with LLMs during Training Chandan Singh Armin Askari R. Caruana Jianfeng Gao 34 37 0 23 Sep 2022
Concept Activation Regions: A Generalized Framework For Concept-Based Explanations Jonathan Crabbé M. Schaar 59 46 0 22 Sep 2022
Visual Recognition with Deep Nearest Centroids Wenguan Wang Cheng Han Tianfei Zhou Dongfang Liu 54 91 0 15 Sep 2022
Not As Easy As You Think -- Experiences and Lessons Learnt from Trying to Create a Bottom-Up Visualization Image Typology Jian Chen Petra Isenberg R. Laramee Tobias Isenberg Michael Sedlmair Torsten Moeller Han-Wei Shen 34 3 0 15 Sep 2022
A Survey of Neural Trees Haoling Li Jie Song Mengqi Xue Haofei Zhang Jingwen Ye Lechao Cheng Mingli Song AI4CE 20 6 0 07 Sep 2022
Explaining Machine Learning Models in Natural Conversations: Towards a Conversational XAI Agent Van Bach Nguyen Jorg Schlotterer C. Seifert AILaw 25 11 0 06 Sep 2022
Concept Gradient: Concept-based Interpretation Without Linear Assumption Andrew Bai Chih-Kuan Yeh Pradeep Ravikumar Neil Y. C. Lin Cho-Jui Hsieh 27 14 0 31 Aug 2022
IDP-PGFE: An Interpretable Disruption Predictor based on Physics-Guided Feature Extraction C. Shen W. Zheng Yonghua Ding X. Ai F. Xue ... Zhipeng Chen Zhoujun Yang Z. Chen Y. Pan J-Text Team AI4CE 19 10 0 28 Aug 2022
Discovering Transferable Forensic Features for CNN-generated Images Detection Keshigeyan Chandrasegaran Ngoc-Trung Tran Alexander Binder Ngai-man Cheung AAML 37 27 0 24 Aug 2022
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition Mengqi Xue Qihan Huang Haofei Zhang Lechao Cheng Jie Song Ming-hui Wu Mingli Song ViT 25 53 0 22 Aug 2022
Causality-Inspired Taxonomy for Explainable Artificial Intelligence Pedro C. Neto Tiago B. Gonccalves João Ribeiro Pinto W. Silva Ana F. Sequeira Arun Ross Jaime S. Cardoso XAI 36 12 0 19 Aug 2022
Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification Quanshi Zhang Xu Cheng Yilan Chen Zhefan Rao 11 33 0 18 Aug 2022
Transcending XAI Algorithm Boundaries through End-User-Inspired Design Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Xiaoxiao Li Ghassan Hamarneh 23 3 0 18 Aug 2022