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
Decoupled Multimodal Prototypes for Visual Recognition with Missing Modalities Jueqing Lu Yuanyuan Qi Xiaohao Yang Shujie Zhou Lan Du 29 0 0 13 May 2025
Implet: A Post-hoc Subsequence Explainer for Time Series Models Fanyu Meng Ziwen Kan Shahbaz Rezaei Z. Kong Xin Chen Xin Liu AI4TS 24 0 0 13 May 2025
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection Moritz Vandenhirtz Julia E. Vogt 38 0 0 09 May 2025
This part looks alike this: identifying important parts of explained instances and prototypes Jacek Karolczak Jerzy Stefanowski 29 0 0 08 May 2025
PointExplainer: Towards Transparent Parkinson's Disease Diagnosis Xuechao Wang S. Nõmm Junqing Huang Kadri Medijainen A. Toomela Michael Ruzhansky AAML FAtt 26 0 0 04 May 2025
SCOPE-MRI: Bankart Lesion Detection as a Case Study in Data Curation and Deep Learning for Challenging Diagnoses Sahil Sethi Sai Reddy Mansi Sakarvadia Jordan Serotte Darlington Nwaudo Nicholas Maassen Lewis Shi 41 0 0 29 Apr 2025
If Concept Bottlenecks are the Question, are Foundation Models the Answer? Nicola Debole Pietro Barbiero Francesco Giannini Andrea Passerini Stefano Teso Emanuele Marconato 131 0 0 28 Apr 2025
MERA: Multimodal and Multiscale Self-Explanatory Model with Considerably Reduced Annotation for Lung Nodule Diagnosis Jiahao Lu Chong Yin Silvia Ingala Kenny Erleben M. Nielsen S. Darkner 51 0 0 27 Apr 2025
Multi-Grained Compositional Visual Clue Learning for Image Intent Recognition Yin Tang Jiankai Li Hongyu Yang Xuan Dong Lifeng Fan Weixin Li 32 0 0 25 Apr 2025
Interpretable Affordance Detection on 3D Point Clouds with Probabilistic Prototypes M. Li Korbinian Franz Rudolf Nils Blank Rudolf Lioutikov 3DPC 34 0 0 25 Apr 2025
Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts M. Zarlenga Gabriele Dominici Pietro Barbiero Z. Shams M. Jamnik KELM 158 0 0 24 Apr 2025
PCBEAR: Pose Concept Bottleneck for Explainable Action Recognition Jongseo Lee Wooil Lee Gyeong-Moon Park Seong Tae Kim Jinwoo Choi 33 0 0 17 Apr 2025
Can Masked Autoencoders Also Listen to Birds? Lukas Rauch Ilyass Moummad René Heinrich Alexis Joly Bernhard Sick Christoph Scholz 29 0 0 17 Apr 2025
ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning S. David Chen Thomas Statchen Michael C. Burkhart Nipun Bhandari Bashar Ramadan Brett Beaulieu-Jones 37 1 0 11 Apr 2025
On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs Gesina Schwalbe Georgii Mikriukov Edgar Heinert Stavros Gerolymatos Mert Keser Alois Knoll Matthias Rottmann Annika Mütze 31 0 0 11 Apr 2025
Language Guided Concept Bottleneck Models for Interpretable Continual Learning Lu Yu Haoyu Han Zhe Tao Hantao Yao Changsheng Xu CLL 60 0 0 30 Mar 2025
Patronus: Bringing Transparency to Diffusion Models with Prototypes Nina Weng Aasa Feragen Siavash Bigdeli DiffM 41 0 0 28 Mar 2025
Towards Human-Understandable Multi-Dimensional Concept Discovery Arne Grobrugge Niklas Kühl G. Satzger Philipp Spitzer 44 0 0 24 Mar 2025
Self-Explaining Neural Networks for Business Process Monitoring Shahaf Bassan Shlomit Gur Sergey Zeltyn Konstantinos Mavrogiorgos Ron Eliav Dimosthenis Kyriazis 49 0 0 23 Mar 2025
Interpretable Machine Learning for Oral Lesion Diagnosis through Prototypical Instances Identification Alessio Cascione Mattia Setzu Federico A. Galatolo M. G. Cimino Riccardo Guidotti 34 0 0 21 Mar 2025
An interpretable approach to automating the assessment of biofouling in video footage Evelyn J. Mannix Bartholomew A. Woodham 58 0 0 17 Mar 2025
Escaping Plato's Cave: Robust Conceptual Reasoning through Interpretable 3D Neural Object Volumes Nhi Pham Bernt Schiele Adam Kortylewski Jonas Fischer 58 0 0 17 Mar 2025
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes Patrick Rim Hyoungseob Park Suchisrit Gangopadhyay Ziyao Zeng Younjoon Chung Alex Wong CLL MDE 66 1 0 17 Mar 2025
Enhancing Job Salary Prediction with Disentangled Composition Effect Modeling: A Neural Prototyping Approach Yang Ji Ying Sun Hengshu Zhu 46 0 0 17 Mar 2025
A Transformer and Prototype-based Interpretable Model for Contextual Sarcasm Detection Ximing Wen Rezvaneh Rezapour 41 0 0 14 Mar 2025
Interpretable Image Classification via Non-parametric Part Prototype Learning Zhijie Zhu Lei Fan M. Pagnucco Yang Song 41 0 0 13 Mar 2025
Birds look like cars: Adversarial analysis of intrinsically interpretable deep learning Hubert Baniecki P. Biecek AAML 80 0 0 11 Mar 2025
Interactive Medical Image Analysis with Concept-based Similarity Reasoning Ta Duc Huy Sen Kim Tran Phan Nguyen Nguyen Hoang Tran Tran Bao Sam A. Hengel Zhibin Liao Johan W. Verjans Minh Nguyen Nhat To Vu Minh Hieu Phan 48 0 0 10 Mar 2025
Exploring Interpretability for Visual Prompt Tuning with Hierarchical Concepts Yubin Wang Xinyang Jiang De Cheng Xiangqian Zhao Zilong Wang Dongsheng Li Cairong Zhao VLM 72 0 0 08 Mar 2025
Causally Reliable Concept Bottleneck Models Giovanni De Felice Arianna Casanova Flores Francesco De Santis Silvia Santini Johannes Schneider Pietro Barbiero Alberto Termine 74 2 0 06 Mar 2025
Exploring Neural Ordinary Differential Equations as Interpretable Healthcare classifiers Shi Li AI4CE 57 0 0 05 Mar 2025
Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time J. Donnelly Zhicheng Guo A. Barnett Hayden McTavish Chaofan Chen Cynthia Rudin 61 0 0 03 Mar 2025
QPM: Discrete Optimization for Globally Interpretable Image Classification Thomas Norrenbrock T. Kaiser Sovan Biswas R. Manuvinakurike Bodo Rosenhahn 55 0 0 27 Feb 2025
Tell me why: Visual foundation models as self-explainable classifiers Hugues Turbé Mina Bjelogrlic G. Mengaldo Christian Lovis 66 0 0 26 Feb 2025
BarkXAI: A Lightweight Post-Hoc Explainable Method for Tree Species Classification with Quantifiable Concepts Yunmei Huang Songlin Hou Zachary Nelson Horve Songlin Fei 69 0 0 26 Feb 2025
Model-agnostic Coreset Selection via LLM-based Concept Bottlenecks Akshay Mehra Trisha Mittal Subhadra Gopalakrishnan Joshua Kimball 43 0 0 23 Feb 2025
Uncertainty-Aware Explanations Through Probabilistic Self-Explainable Neural Networks Jon Vadillo Roberto Santana J. A. Lozano Marta Z. Kwiatkowska BDL AAML 65 0 0 17 Feb 2025
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens Samuele Bortolotti Emanuele Marconato Paolo Morettin Andrea Passerini Stefano Teso 61 2 0 16 Feb 2025
This looks like what? Challenges and Future Research Directions for Part-Prototype Models Khawla Elhadri Tomasz Michalski Adam Wróbel Jorg Schlotterer Bartosz Zieliñski C. Seifert 84 0 0 13 Feb 2025
Sparse Autoencoders for Scientifically Rigorous Interpretation of Vision Models Samuel Stevens Wei-Lun Chao T. Berger-Wolf Yu-Chuan Su VLM 72 2 0 10 Feb 2025
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable Shreyash Arya Sukrut Rao Moritz Bohle Bernt Schiele 68 2 0 28 Jan 2025
COMIX: Compositional Explanations using Prototypes S. Sivaprasad D. Kangin Plamen Angelov Mario Fritz 139 0 0 10 Jan 2025
An Image-based Typology for Visualization Jian Chen Petra Isenberg R. Laramee Tobias Isenberg Michael Sedlmair Torsten Moeller Rui Li 43 3 0 08 Jan 2025
Label-free Concept Based Multiple Instance Learning for Gigapixel Histopathology Susu Sun Leslie Tessier Frédérique Meeuwsen Clément Grisi Dominique van Midden G. Litjens Christian F. Baumgartner 24 2 0 06 Jan 2025
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations Xin-Chao Xu Yi Qin Lu Mi Hao Wang X. Li 74 9 0 03 Jan 2025
Regulation of Language Models With Interpretability Will Likely Result In A Performance Trade-Off Eoin M. Kenny Julie A. Shah 66 0 0 12 Dec 2024
OMENN: One Matrix to Explain Neural Networks Adam Wróbel Mikołaj Janusz Bartosz Zieliñski Dawid Rymarczyk FAtt AAML 75 0 0 03 Dec 2024
Explaining the Impact of Training on Vision Models via Activation Clustering Ahcène Boubekki Samuel G. Fadel Sebastian Mair 89 0 0 29 Nov 2024
Explainable deep learning improves human mental models of self-driving cars Eoin M. Kenny Akshay Dharmavaram Sang Uk Lee Tung Phan-Minh Shreyas Rajesh Yunqing Hu Laura Major Momchil S. Tomov Julie A. Shah 69 0 0 27 Nov 2024
GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers Éloi Zablocki Valentin Gerard Amaia Cardiel Eric Gaussier Matthieu Cord Eduardo Valle 79 0 0 23 Nov 2024