Unmasking Clever Hans Predictors and Assessing What Machines Really Learn

Nature Communications (Nat Commun), 2019

26 February 2019

Papers citing "Unmasking Clever Hans Predictors and Assessing What Machines Really Learn"

50 / 382 papers shown

Title
The Clever Hans Effect in Unsupervised Learning Jacob R. Kauffmann Jonas Dippel Lukas Ruff Wojciech Samek Klaus-Robert Müller G. Montavon SSL CML HAI 217 15 0 15 Aug 2024
Space-scale Exploration of the Poor Reliability of Deep Learning Models: the Case of the Remote Sensing of Rooftop Photovoltaic Systems Gabriel Kasmi L. Dubus Yves-Marie Saint Drenan Philippe Blanc 205 1 0 31 Jul 2024
Spurious Correlations in Concept Drift: Can Explanatory Interaction Help? Cristiana Lalletti Stefano Teso 189 2 0 23 Jul 2024
A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery Parastoo Semnani Mihail Bogojeski Florian Bley Zizheng Zhang Qiong Wu Thomas Kneib Jan Herrmann Christoph Weisser Florina Patcas Klaus-Robert Müller 89 7 0 10 Jul 2024
Model Guidance via Explanations Turns Image Classifiers into Segmentation Models Xiaoyan Yu Jannik Franzen Wojciech Samek Marina M.-C. Höhne Dagmar Kainmueller 152 0 0 03 Jul 2024
AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics Jonas Dippel Niklas Prenißl Julius Hense Philipp Liznerski Tobias Winterhoff ... David Horst Maximilian Alber Lukas Ruff Klaus-Robert Müller Frederick Klauschen 225 11 0 21 Jun 2024
Revealing the Learning Process in Reinforcement Learning Agents Through Attention-Oriented Metrics Charlotte Beylier Simon M. Hofmann Nico Scherf 366 0 0 20 Jun 2024
MambaLRP: Explaining Selective State Space Sequence Models F. Jafari G. Montavon Klaus-Robert Müller Oliver Eberle Mamba 439 19 0 11 Jun 2024
Leveraging Activations for Superpixel Explanations Ahcène Boubekki Samuel G. Fadel Sebastian Mair AAML FAtt XAI 165 0 0 07 Jun 2024
LNQ Challenge 2023: Learning Mediastinal Lymph Node Segmentation with a Probabilistic Lymph Node Atlas Sofija Engelson J. Ehrhardt Timo Kepp Joshua Niemeijer Heinz Handels 104 1 0 06 Jun 2024
Language-guided Detection and Mitigation of Unknown Dataset Bias Zaiying Zhao Soichiro Kumano Toshihiko Yamasaki 189 2 0 05 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 152 13 0 30 May 2024
Exposing Image Classifier Shortcuts with Counterfactual Frequency (CoF) Tables James Hinns David Martens 271 4 0 24 May 2024
SE3D: A Framework For Saliency Method Evaluation In 3D ImagingInternational Conference on Information Photonics (ICIP), 2024 Mariusz Wi'sniewski Loris Giulivi Giacomo Boracchi 209 3 0 23 May 2024
Explaining Text Similarity in Transformer Models Alexandros Vasileiou Oliver Eberle 157 16 0 10 May 2024
Generalizing Orthogonalization for Models with Non-LinearitiesInternational Conference on Machine Learning (ICML), 2024 David Rügamer Chris Kolb Tobias Weber Lucas Kook Thomas Nagler 197 1 0 03 May 2024
When a Relation Tells More Than a Concept: Exploring and Evaluating Classifier Decisions with CoReX Bettina Finzel Patrick Hilme Johannes Rabold Ute Schmid 344 2 0 02 May 2024
T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients Evandro S. Ortigossa Fábio F. Dias Brian Barr Claudio T. Silva L. G. Nonato FAtt 361 5 0 25 Apr 2024
Guided AbsoluteGrad: Magnitude of Gradients Matters to Explanation's Localization and Saliency Jun Huang Yan Liu FAtt 236 1 0 23 Apr 2024
Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop Hector Kohler Quentin Delfosse Paul Festor Philippe Preux 276 0 0 16 Apr 2024
Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression Dilyara Bareeva Maximilian Dreyer Frederik Pahde Wojciech Samek Sebastian Lapuschkin KELM 201 6 0 15 Apr 2024
The CAST package for training and assessment of spatial prediction models in R Hanna Meyer M. Ludwig Carles Mila Jan Linnenbrink Fabian Schumacher 159 13 0 10 Apr 2024
Comprehensible Artificial Intelligence on Knowledge Graphs: A surveyJournal of Web Semantics (Web Semantics), 2023 Simon Schramm C. Wehner Ute Schmid 198 35 0 04 Apr 2024
Targeted Visualization of the Backbone of Encoder LLMs Isaac Roberts Alexander Schulz L. Hermes Barbara Hammer 76 0 0 26 Mar 2024
Revealing Vulnerabilities of Neural Networks in Parameter Learning and Defense Against Explanation-Aware Backdoors Md Abdul Kadir G. Addluri Daniel Sonntag AAML 275 0 0 25 Mar 2024
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations Rwiddhi Chakraborty Adrian Sletten Michael C. Kampffmeyer 248 4 0 20 Mar 2024
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learningCognitive Systems Research (Cogn. Syst. Res.), 2023 F. Mumuni A. Mumuni AAML 258 16 0 11 Mar 2024
LCEN: A Nonlinear, Interpretable Feature Selection and Machine Learning Algorithm Pedro Seber R. D. Braatz 169 3 0 27 Feb 2024
ToMBench: Benchmarking Theory of Mind in Large Language Models Zhuang Chen Jincenzi Wu Jinfeng Zhou Bosi Wen Guanqun Bi ... Yaru Cao Mengting Hu Yunghwei Lai Zexuan Xiong Shiyu Huang 254 38 0 23 Feb 2024
Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness David Fernández Llorca Ronan Hamon Henrik Junklewitz Kathrin Grosse Lars Kunze ... Nick Reed Alexandre Alahi Emilia Gómez Ignacio E. Sánchez Á. Kriston 219 11 0 21 Feb 2024
Right on Time: Revising Time Series Models by Constraining their Explanations Maurice Kraus David Steinmann Antonia Wüst Andre Kokozinski Kristian Kersting AI4TS 351 6 0 20 Feb 2024
DualXDA: Towards Sparse, Efficient and Explainable Data Attribution in Large AI Models Galip Umit Yolcu Moritz Weckbecker Thomas Wiegand Wojciech Samek Sebastian Lapuschkin TDI FAtt 279 0 0 19 Feb 2024
Implementing local-explainability in Gradient Boosting Trees: Feature Contribution Ángel Delgado-Panadero Beatriz Hernández-Lorca María Teresa García-Ordás J. Benítez-Andrades 212 64 0 14 Feb 2024
Where is the Truth? The Risk of Getting Confounded in a Continual World Florian Peter Busch Roshni Kamath Rupert Mitchell Wolfgang Stammer Kristian Kersting Martin Mundt CLL CML 399 5 0 09 Feb 2024
A Survey on Graph Condensation Hongjia Xu Liangliang Zhang Yao Ma Sheng Zhou Zhuonan Zheng Jiajun Bu 308 12 0 03 Feb 2024
On the Emergence of Symmetrical RealityIEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR), 2024 Zhenlian Zhang Zeyu Zhang Ziyuan Jiao Yao Su Hangxin Liu Wei Wang Song-Chun Zhu 122 4 0 26 Jan 2024
MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept AlignmentAAAI Conference on Artificial Intelligence (AAAI), 2024 Yequan Bie Luyang Luo Hao Chen 189 21 0 16 Jan 2024
Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks Stefan Blücher Johanna Vielhaben Nils Strodthoff AAML 256 31 0 12 Jan 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning AgentsNeural Information Processing Systems (NeurIPS), 2024 Quentin Delfosse Sebastian Sztwiertnia M. Rothermel Wolfgang Stammer Kristian Kersting 306 24 0 11 Jan 2024
Manipulating Feature Visualizations with Gradient Slingshots Dilyara Bareeva Marina M.-C. Höhne Alexander Warnecke Lukas Pirch Klaus-Robert Müller Konrad Rieck Sebastian Lapuschkin Kirill Bykov AAML 279 6 0 11 Jan 2024
RudolfV: A Foundation Model by Pathologists for Pathologists Jonas Dippel Barbara Feulner Tobias Winterhoff Timo Milbich Stephan Tietz ... David Horst Lukas Ruff Klaus-Robert Muller Frederick Klauschen Maximilian Alber 423 48 0 08 Jan 2024
Error Discovery by Clustering Influence EmbeddingsNeural Information Processing Systems (NeurIPS), 2023 Fulton Wang Julius Adebayo Sarah Tan Diego Garcia-Olano Narine Kokhlikyan 274 5 0 07 Dec 2023
Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations Maximilian Dreyer Reduan Achtibat Wojciech Samek Sebastian Lapuschkin 158 21 0 28 Nov 2023
Towards Interpretable Classification of Leukocytes based on Deep Learning S. Röhrl Johannes Groll M. Lengl Simon Schumann C. Klenk D. Heim Martin Knopp Oliver Hayden Klaus Diepold 175 2 0 24 Nov 2023
Labeling Neural Representations with Inverse RecognitionNeural Information Processing Systems (NeurIPS), 2023 Kirill Bykov Laura Kopf Shinichi Nakajima Matthias Kirchler Marina M.-C. Höhne BDL 371 26 0 22 Nov 2023
Continual Learning: Applications and the Road Forward Eli Verwimp Rahaf Aljundi Shai Ben-David Matthias Bethge Andrea Cossu ... Joost van de Weijer Bing Liu Vincenzo Lomonaco Tinne Tuytelaars Gido M. van de Ven CLL 280 59 0 20 Nov 2023
Validity problems in clinical machine learning by indirect data labeling using consensus definitions Michael Hagmann Shigehiko Schamoni Stefan Riezler 82 2 0 06 Nov 2023
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research DirectionsInformation Fusion (Inf. Fusion), 2023 Luca Longo Mario Brcic Federico Cabitza Jaesik Choi Roberto Confalonieri ... Andrés Páez Wojciech Samek Johannes Schneider Timo Speith Simone Stumpf 416 351 0 30 Oct 2023
Protecting Publicly Available Data With Machine Learning ShortcutsBritish Machine Vision Conference (BMVC), 2023 Nicolas Müller Maximilian Burgert Pascal Debus Jennifer Williams Philip Sperl Konstantin Böttinger 138 0 0 30 Oct 2023
This Reads Like That: Deep Learning for Interpretable Natural Language ProcessingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Claudio Fanconi Moritz Vandenhirtz Severin Husmann Julia E. Vogt FAtt 98 3 0 25 Oct 2023