Concept Whitening for Interpretable Image Recognition

5 February 2020

Zhi Chen

Papers citing "Concept Whitening for Interpretable Image Recognition"

50 / 189 papers shown

Title
Benchmarking and Enhancing Disentanglement in Concept-Residual Models Renos Zabounidis Ini Oguntola Konghao Zhao Joseph Campbell Simon Stepputtis Katia P. Sycara 25 1 0 30 Nov 2023
Survey on AI Ethics: A Socio-technical Perspective Dave Mbiazi Meghana Bhange Maryam Babaei Ivaxi Sheth Patrik Joslin Kenfack 23 4 0 28 Nov 2023
Auxiliary Losses for Learning Generalizable Concept-based Models Ivaxi Sheth Samira Ebrahimi Kahou 32 24 0 18 Nov 2023
This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations Chiyu Ma Brandon Zhao Chaofan Chen Cynthia Rudin 24 26 0 28 Oct 2023
Getting aligned on representational alignment Ilia Sucholutsky Lukas Muttenthaler Adrian Weller Andi Peng Andreea Bobu ... Thomas Unterthiner Andrew Kyle Lampinen Klaus-Robert Muller M. Toneva Thomas L. Griffiths 58 74 0 18 Oct 2023
Removing Spurious Concepts from Neural Network Representations via Joint Subspace Estimation Floris Holstege Bram Wouters Noud van Giersbergen C. Diks 31 1 0 18 Oct 2023
Deep Concept Removal Yegor Klochkov Jean-François Ton Ruocheng Guo Yang Liu Hang Li 13 0 0 09 Oct 2023
A Framework for Interpretability in Machine Learning for Medical Imaging Alan Q. Wang Batuhan K. Karaman Heejong Kim Jacob Rosenthal Rachit Saluja Sean I. Young M. Sabuncu AI4CE 17 10 0 02 Oct 2023
Learning to Receive Help: Intervention-Aware Concept Embedding Models M. Zarlenga Katherine M. Collins Krishnamurthy Dvijotham Adrian Weller Z. Shams M. Jamnik 19 23 0 29 Sep 2023
Interpretability is in the Mind of the Beholder: A Causal Framework for Human-interpretable Representation Learning Emanuele Marconato Andrea Passerini Stefano Teso 30 13 0 14 Sep 2023
Interpretability-Aware Vision Transformer Yao Qiang Chengyin Li Prashant Khanduri D. Zhu ViT 82 7 0 14 Sep 2023
How Faithful are Self-Explainable GNNs? Marc Christiansen Lea Villadsen Zhiqiang Zhong Stefano Teso Davide Mottin 18 3 0 29 Aug 2023
LR-XFL: Logical Reasoning-based Explainable Federated Learning Yanci Zhang Hanyou Yu LRM 24 7 0 24 Aug 2023
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations Mikolaj Sacha Bartosz Jura Dawid Rymarczyk Lukasz Struski Jacek Tabor Bartosz Zieliñski 30 14 0 16 Aug 2023
Scale-Preserving Automatic Concept Extraction (SPACE) Andres Felipe Posada-Moreno Lukas Kreisköther T. Glander Sebastian Trimpe 11 1 0 11 Aug 2023
Exploring XAI for the Arts: Explaining Latent Space in Generative Music Nick Bryan-Kinns Berker Banar Corey Ford Courtney N. Reed Yixiao Zhang S. Colton Jack Armitage 22 30 0 10 Aug 2023
Learning Concise and Descriptive Attributes for Visual Recognition Andy Yan Yu-Xiang Wang Yiwu Zhong Chengyu Dong Zexue He Yujie Lu William Wang Jingbo Shang Julian McAuley VLM 19 60 0 07 Aug 2023
Uncovering Unique Concept Vectors through Latent Space Decomposition Mara Graziani Laura Mahony An-phi Nguyen Henning Muller Vincent Andrearczyk 43 4 0 13 Jul 2023
Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classification Haixing Dai Lu Zhang Lin Zhao Zihao Wu Zheng Liu ... Yanjun Lyu Changying Li Ninghao Liu Tianming Liu Dajiang Zhu 43 6 0 10 Jul 2023
Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning Ini Oguntola Joseph Campbell Simon Stepputtis Katia P. Sycara 36 8 0 03 Jul 2023
SHARCS: Shared Concept Space for Explainable Multimodal Learning Gabriele Dominici Pietro Barbiero Lucie Charlotte Magister Pietro Lio' Nikola Simidjievski 28 5 0 01 Jul 2023
Low-Resource White-Box Semantic Segmentation of Supporting Towers on 3D Point Clouds via Signature Shape Identification Diogo Mateus Lavado Cláudia Soares Alessandra Micheletti Giovanni Bocchi Alex Coronati Manuel F. Silva Patrizio Frosini 3DPC 22 2 0 13 Jun 2023
Adversarial Attacks on the Interpretation of Neuron Activation Maximization Géraldin Nanfack A. Fulleringer Jonathan Marty Michael Eickenberg Eugene Belilovsky AAML FAtt 25 10 0 12 Jun 2023
Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks Mohannad Elhamod Mridul Khurana Harish Babu Manogaran Josef C. Uyeda M. Balk ... Wei-Lun Chao Chuck Stewart Daniel Rubenstein T. Berger-Wolf Anuj Karpatne 14 7 0 05 Jun 2023
Probabilistic Concept Bottleneck Models Eunji Kim Dahuin Jung Sangha Park Siwon Kim Sung-Hoon Yoon 6 64 0 02 Jun 2023
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts Emanuele Marconato Stefano Teso Antonio Vergari Andrea Passerini 35 30 0 31 May 2023
Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs Kaiwen Xu Kazuto Fukuchi Youhei Akimoto Jun Sakuma 21 2 0 27 May 2023
Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace Jinyung Hong Keun Hee Park Theodore P. Pavlic 29 5 0 25 May 2023
Towards credible visual model interpretation with path attribution Naveed Akhtar Muhammad A. A. K. Jalwana FAtt 22 4 0 23 May 2023
Constructing Word-Context-Coupled Space Aligned with Associative Knowledge Relations for Interpretable Language Modeling Fanyu Wang Zhenping Xie 19 0 0 19 May 2023
FICNN: A Framework for the Interpretation of Deep Convolutional Neural Networks Hamed Behzadi-Khormouji José Oramas 11 0 0 17 May 2023
Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability Georgii Mikriukov Gesina Schwalbe Christian Hellert Korinna Bade FAtt 20 8 0 28 Apr 2023
Interpretable Neural-Symbolic Concept Reasoning Pietro Barbiero Gabriele Ciravegna Francesco Giannini M. Zarlenga Lucie Charlotte Magister Alberto Tonda Pietro Lio' F. Precioso M. Jamnik G. Marra NAI LRM 61 38 0 27 Apr 2023
Concept-Monitor: Understanding DNN training through individual neurons Mohammad Ali Khan Tuomas P. Oikarinen Tsui-Wei Weng 21 2 0 26 Apr 2023
Label-Free Concept Bottleneck Models Tuomas P. Oikarinen Subhro Das Lam M. Nguyen Tsui-Wei Weng 19 158 0 12 Apr 2023
Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis Cristiano Patrício João C. Neves Luís F. Teixeira MedIm FAtt 24 17 0 10 Apr 2023
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail Yingjun Du Jiayi Shen Xiantong Zhen Cees G. M. Snoek 34 12 0 31 Mar 2023
Why is plausibility surprisingly problematic as an XAI criterion? Weina Jin Xiaoxiao Li Ghassan Hamarneh 47 3 0 30 Mar 2023
Human Uncertainty in Concept-Based AI Systems Katherine M. Collins Matthew Barker M. Zarlenga Naveen Raman Umang Bhatt M. Jamnik Ilia Sucholutsky Adrian Weller Krishnamurthy Dvijotham 66 39 0 22 Mar 2023
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma T. Chanda Katja Hauser S. Hobelsberger Tabea-Clara Bucher Carina Nogueira Garcia ... J. Utikal K. Ghoreschi S. Fröhling E. Krieghoff-Henning T. Brinker 26 64 0 17 Mar 2023
ESCAPE: Countering Systematic Errors from Machine's Blind Spots via Interactive Visual Analysis Yongsu Ahn Y. Lin Panpan Xu Zeng Dai AAML HAI 11 8 0 16 Mar 2023
ICICLE: Interpretable Class Incremental Continual Learning Dawid Rymarczyk Joost van de Weijer Bartosz Zieliñski Bartlomiej Twardowski CLL 26 28 0 14 Mar 2023
Graph-based Representation for Image based on Granular-ball Shuyin Xia Dawei Dai Long Yang Zhan Li Danfeng Lan Hao Zhu Guoyin Wang 3DH AI4Ed 6 9 0 04 Mar 2023
Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals Susu Sun S. Woerner Andreas K. Maier Lisa M. Koch Christian F. Baumgartner FAtt 35 16 0 01 Mar 2023
Concept Learning for Interpretable Multi-Agent Reinforcement Learning Renos Zabounidis Joseph Campbell Simon Stepputtis Dana Hughes Katia P. Sycara 29 15 0 23 Feb 2023
Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal Emanuele Marconato G. Bontempo E. Ficarra Simone Calderara Andrea Passerini Stefano Teso NAI LRM CLL 30 20 0 02 Feb 2023
A Survey of Explainable AI in Deep Visual Modeling: Methods and Metrics Naveed Akhtar XAI VLM 30 7 0 31 Jan 2023
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts Mikolaj Sacha Dawid Rymarczyk Lukasz Struski Jacek Tabor Bartosz Zieliñski VLM 32 29 0 28 Jan 2023
Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees Johanna Vielhaben Stefan Blücher Nils Strodthoff 25 37 0 27 Jan 2023
Towards Robust Metrics for Concept Representation Evaluation M. Zarlenga Pietro Barbiero Z. Shams Dmitry Kazhdan Umang Bhatt Adrian Weller M. Jamnik 16 24 0 25 Jan 2023