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
Neural Concept Binder Wolfgang Stammer Antonia Wüst David Steinmann Kristian Kersting OCL 34 4 0 14 Jun 2024
Applications of Explainable artificial intelligence in Earth system science Feini Huang Shijie Jiang Lu Li Yongkun Zhang Ye Zhang Ruqing Zhang Qingliang Li Danxi Li Wei Shangguan Yongjiu Dai 30 2 0 12 Jun 2024
FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography Julia Yang Alina Jade Barnett Jon Donnelly Satvik Kishore Jerry Fang F. Schwartz Chaofan Chen Joseph Y. Lo Cynthia Rudin MedIm 32 1 0 10 Jun 2024
Attri-Net: A Globally and Locally Inherently Interpretable Model for Multi-Label Classification Using Class-Specific Counterfactuals Susu Sun S. Woerner Andreas Maier Lisa M. Koch Christian F. Baumgartner FAtt 25 1 0 08 Jun 2024
Post-hoc Part-prototype Networks Andong Tan Fengtao Zhou Hao Chen 25 5 0 05 Jun 2024
How Video Meetings Change Your Expression Sumit Sarin Utkarsh Mall Purva Tendulkar Carl Vondrick CVBM 37 0 0 03 Jun 2024
CONFINE: Conformal Prediction for Interpretable Neural Networks Linhui Huang S. Lala N. Jha 68 2 0 01 Jun 2024
Applications of interpretable deep learning in neuroimaging: a comprehensive review Lindsay Munroe Mariana da Silva Faezeh Heidari I. Grigorescu Simon Dahan E. C. Robinson Maria Deprez Po-Wah So AI4CE 44 5 0 30 May 2024
Learning Interpretable Scheduling Algorithms for Data Processing Clusters Zhibo Hu Chen Wang Helen Paik Paik Yanfeng Shu Liming Zhu OffRL 28 0 0 29 May 2024
Locally Testing Model Detections for Semantic Global Concepts Franz Motzkus Georgii Mikriukov Christian Hellert Ute Schmid 37 2 0 27 May 2024
Concept-based Explainable Malignancy Scoring on Pulmonary Nodules in CT Images Rinat I. Dumaev S A Molodyakov Lev V. Utkin 29 0 0 24 May 2024
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis Yue Yang Mona Gandhi Yufei Wang Yifan Wu Michael S. Yao Christopher Callison-Burch James C. Gee Mark Yatskar 55 3 0 23 May 2024
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision Mateusz Pach Dawid Rymarczyk K. Lewandowska Jacek Tabor Bartosz Zieliñski 34 7 0 23 May 2024
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology Andrew H. Song Richard J. Chen Tong Ding Drew F. K. Williamson Guillaume Jaume Faisal Mahmood MedIm 46 28 0 19 May 2024
Enhancing Fine-Grained Image Classifications via Cascaded Vision Language Models Canshi Wei VLM 32 0 0 18 May 2024
ECATS: Explainable-by-design concept-based anomaly detection for time series Irene Ferfoglia Gaia Saveri L. Nenzi Luca Bortolussi AI4TS 27 1 0 17 May 2024
IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data Ziyang Zhang Plamen Angelov D. Kangin Nicolas Longépé AI4CE 41 1 0 13 May 2024
Interpretability Needs a New Paradigm Andreas Madsen Himabindu Lakkaraju Siva Reddy Sarath Chandar 39 4 0 08 May 2024
Improving Concept Alignment in Vision-Language Concept Bottleneck Models Nithish Muthuchamy Selvaraj Xiaobao Guo Bingquan Shen A. Kong Alex C. Kot VLM 46 0 0 03 May 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 61 5 0 02 May 2024
Exploring Machine Learning Algorithms for Infection Detection Using GC-IMS Data: A Preliminary Study Christos Sardianos Chrysostomos Symvoulidis Matthias Schlögl Iraklis Varlamis Georgios Th. Papadopoulos 19 1 0 24 Apr 2024
Using Deep Learning to Identify Initial Error Sensitivity for Interpretable ENSO Forecasts Kinya Toride Matthew Newman Andrew Hoell A. Capotondi Jakob Schlör Dillon Amaya 22 0 0 23 Apr 2024
DP-Net: Learning Discriminative Parts for image recognition R. Sicre Hanwei Zhang Julien Dejasmin Chiheb Daaloul Stéphane Ayache Thierry Artières 21 0 0 23 Apr 2024
CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision Models Teodor Chiaburu Frank Haußer Felix Bießmann 42 4 0 23 Apr 2024
AudioProtoPNet: An interpretable deep learning model for bird sound classification René Heinrich Bernhard Sick Christoph Scholz 14 2 0 16 Apr 2024
MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes Bor-Shiun Wang Chien-Yi Wang Wei-Chen Chiu 30 3 0 13 Apr 2024
MAProtoNet: A Multi-scale Attentive Interpretable Prototypical Part Network for 3D Magnetic Resonance Imaging Brain Tumor Classification Binghua Li Jie Mao Zhe Sun Chao Li Qibin Zhao Toshihisa Tanaka 28 0 0 13 Apr 2024
WaveSleepNet: An Interpretable Network for Expert-like Sleep Staging Yan Pei Wei Luo 47 0 0 11 Apr 2024
Allowing humans to interactively guide machines where to look does not always improve human-AI team's classification accuracy Giang Nguyen Mohammad Reza Taesiri Sunnie S. Y. Kim Anh Nguyen HAI AAML FAtt 31 6 0 08 Apr 2024
ProtoAL: Interpretable Deep Active Learning with prototypes for medical imaging Iury B. de A. Santos André C.P.L.F. de Carvalho MedIm 27 1 0 06 Apr 2024
Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes Poulami Sinhamahapatra Suprosanna Shit Anjany Sekuboyina M. Husseini D. Schinz Nicolas Lenhart Bjoern H. Menze Jan Kirschke Karsten Roscher Stephan Guennemann 47 1 0 03 Apr 2024
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures Thanh Tam Nguyen T. T. Huynh Zhao Ren Thanh Toan Nguyen Phi Le Nguyen Hongzhi Yin Quoc Viet Hung Nguyen 65 8 0 31 Mar 2024
Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges Shreyasi Pathak Jorg Schlotterer Jeroen Veltman J. Geerdink M. V. Keulen Christin Seifert 31 3 0 29 Mar 2024
PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans Lisa Anita De Santi Jorg Schlotterer Michael Scheschenja Joel Wessendorf Meike Nauta Vincenzo Positano Christin Seifert MedIm 38 3 0 27 Mar 2024
Towards Explaining Hypercomplex Neural Networks Eleonora Lopez Eleonora Grassucci D. Capriotti Danilo Comminiello 40 3 0 26 Mar 2024
Neural Clustering based Visual Representation Learning Guikun Chen Xia Li Yi Yang Wenguan Wang SSL 37 8 0 26 Mar 2024
New Intent Discovery with Attracting and Dispersing Prototype Shun Zhang Jian Yang Jiaqi Bai Chaoran Yan Tongliang Li Zhao Yan Zhoujun Li 49 4 0 25 Mar 2024
A survey on Concept-based Approaches For Model Improvement Avani Gupta P. J. Narayanan LRM 29 5 0 21 Mar 2024
On the Concept Trustworthiness in Concept Bottleneck Models Qihan Huang Jie Song Jingwen Hu Haofei Zhang Yong Wang Mingli Song 39 9 0 21 Mar 2024
Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks Jinyung Hong Eunyeong Jeon Changhoon Kim Keun Hee Park Utkarsh Nath Yezhou Yang P. Turaga Theodore P. Pavlic CML 36 0 0 21 Mar 2024
Towards White Box Deep Learning Maciej Satkiewicz AAML 34 1 0 14 Mar 2024
What Sketch Explainability Really Means for Downstream Tasks Hmrishav Bandyopadhyay Pinaki Nath Chowdhury A. Bhunia Aneeshan Sain Tao Xiang Yi-Zhe Song 30 4 0 14 Mar 2024
Pantypes: Diverse Representatives for Self-Explainable Models R. Kjærsgaard Ahcène Boubekki Line H. Clemmensen 33 2 0 14 Mar 2024
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers Francesco Dibitonto Fabio Garcea Andre' Panisson Alan Perotti Lia Morra AAML 29 0 0 13 Mar 2024
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning F. Mumuni A. Mumuni AAML 37 5 0 11 Mar 2024
Towards Zero-Shot Interpretable Human Recognition: A 2D-3D Registration Framework Henrique Jesus Hugo Proença 36 0 0 11 Mar 2024
Interpreting What Typical Fault Signals Look Like via Prototype-matching Qian Chen Xingjian Dong Zhike Peng 22 3 0 11 Mar 2024
What is different between these datasets? Varun Babbar Zhicheng Guo Cynthia Rudin 59 1 0 08 Mar 2024
PEEB: Part-based Image Classifiers with an Explainable and Editable Language Bottleneck Thang M. Pham Peijie Chen Tin Nguyen Seunghyun Yoon Trung Bui Anh Nguyen VLM 49 7 0 08 Mar 2024
ComFe: An Interpretable Head for Vision Transformers Evelyn J. Mannix H. Bondell Howard Bondell VLM ViT 26 1 0 07 Mar 2024