Making deep neural networks right for the right scientific reasons by interacting with their explanations

15 January 2020

Papers citing "Making deep neural networks right for the right scientific reasons by interacting with their explanations"

50 / 121 papers shown

Title
Better Decisions through the Right Causal World Model Elisabeth Dillies Quentin Delfosse Jannis Blüml Raban Emunds Florian Peter Busch Kristian Kersting 34 0 0 09 Apr 2025
Human-in-the-loop or AI-in-the-loop? Automate or Collaborate? S. Natarajan Saurabh Mathur Sahil Sidheekh Wolfgang Stammer Kristian Kersting 81 3 0 18 Dec 2024
Learning Visually Grounded Domain Ontologies via Embodied Conversation and Explanation Jonghyuk Park A. Lascarides S. Ramamoorthy 73 0 0 13 Dec 2024
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers Lam Nguyen Tung Steven Cho Xiaoning Du Neelofar Neelofar Valerio Terragni Stefano Ruberto Aldeida Aleti 139 2 0 30 Oct 2024
Effective Guidance for Model Attention with Simple Yes-no Annotations Seongmin Lee Ali Payani Duen Horng Chau FAtt 45 0 0 29 Oct 2024
Interactive Explainable Anomaly Detection for Industrial Settings Daniel Gramelt Timon Höfer Ute Schmid AAML HAI 26 1 0 01 Oct 2024
To Err Is AI! Debugging as an Intervention to Facilitate Appropriate Reliance on AI Systems Gaole He Abri Bharos U. Gadiraju 29 4 0 22 Sep 2024
Don't be Fooled: The Misinformation Effect of Explanations in Human-AI Collaboration Philipp Spitzer Joshua Holstein Katelyn Morrison Kenneth Holstein Gerhard Satzger Niklas Kühl 35 3 0 19 Sep 2024
Towards Symbolic XAI -- Explanation Through Human Understandable Logical Relationships Between Features Thomas Schnake Farnoush Rezaei Jafaria Jonas Lederer Ping Xiong Shinichi Nakajima Stefan Gugler G. Montavon Klaus-Robert Müller 40 3 0 30 Aug 2024
The Clever Hans Effect in Unsupervised Learning Jacob R. Kauffmann Jonas Dippel Lukas Ruff Wojciech Samek Klaus-Robert Müller G. Montavon SSL CML HAI 39 1 0 15 Aug 2024
Problem Solving Through Human-AI Preference-Based Cooperation Subhabrata Dutta Timo Kaufmann Goran Glavas Ivan Habernal Kristian Kersting Frauke Kreuter Mira Mezini Iryna Gurevych Eyke Hüllermeier Hinrich Schuetze 95 1 0 14 Aug 2024
xAI-Drop: Don't Use What You Cannot Explain Vincenzo Marco De Luca Antonio Longa Andrea Passerini Pietro Lio' 40 0 0 29 Jul 2024
Spurious Correlations in Concept Drift: Can Explanatory Interaction Help? Cristiana Lalletti Stefano Teso 27 1 0 23 Jul 2024
SLIM: Spuriousness Mitigation with Minimal Human Annotations Xiwei Xuan Ziquan Deng Hsuan-Tien Lin Kwan-Liu Ma 42 2 0 08 Jul 2024
Regulating Model Reliance on Non-Robust Features by Smoothing Input Marginal Density Peiyu Yang Naveed Akhtar Mubarak Shah Ajmal Saeed Mian AAML 31 1 0 05 Jul 2024
Model Guidance via Explanations Turns Image Classifiers into Segmentation Models Xiaoyan Yu Jannik Franzen Wojciech Samek Marina M.-C. Höhne Dagmar Kainmueller 36 0 0 03 Jul 2024
A Moonshot for AI Oracles in the Sciences Bryan Kaiser Tailin Wu Maike Sonnewald Colin Thackray Skylar Callis AI4CE 51 0 0 25 Jun 2024
Neural Concept Binder Wolfgang Stammer Antonia Wüst David Steinmann Kristian Kersting OCL 34 4 0 14 Jun 2024
HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning Quentin Delfosse Jannis Blüml Bjarne Gregori Kristian Kersting 31 7 0 06 Jun 2024
Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning Hector Kohler Quentin Delfosse R. Akrour Kristian Kersting Philippe Preux 62 14 0 23 May 2024
An Explanatory Model Steering System for Collaboration between Domain Experts and AI Aditya Bhattacharya Simone Stumpf K. Verbert 26 4 0 17 May 2024
Representation Debiasing of Generated Data Involving Domain Experts Aditya Bhattacharya Simone Stumpf K. Verbert 34 2 0 17 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 38 1 0 02 May 2024
Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop Hector Kohler Quentin Delfosse Paul Festor Philippe Preux 32 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 67 1 0 15 Apr 2024
Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda Johannes Schneider 83 26 0 15 Apr 2024
Learning To Guide Human Decision Makers With Vision-Language Models Debodeep Banerjee Stefano Teso Burcu Sayin Andrea Passerini 34 1 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
Towards a general framework for improving the performance of classifiers using XAI methods Andrea Apicella Salvatore Giugliano Francesco Isgrò R. Prevete 22 0 0 15 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
Right on Time: Revising Time Series Models by Constraining their Explanations Maurice Kraus David Steinmann Antonia Wüst Andre Kokozinski Kristian Kersting AI4TS 40 4 0 20 Feb 2024
Pix2Code: Learning to Compose Neural Visual Concepts as Programs Antonia Wüst Wolfgang Stammer Quentin Delfosse D. Dhami Kristian Kersting 49 13 0 13 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 CML CLL 32 4 0 09 Feb 2024
EXMOS: Explanatory Model Steering Through Multifaceted Explanations and Data Configurations Aditya Bhattacharya Simone Stumpf Lucija Gosak Gregor Stiglic K. Verbert 52 18 0 01 Feb 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents Quentin Delfosse Sebastian Sztwiertnia M. Rothermel Wolfgang Stammer Kristian Kersting 49 18 0 11 Jan 2024
Prompt-driven Latent Domain Generalization for Medical Image Classification Siyuan Yan Chi Liu Zhen Yu Lie Ju Dwarikanath Mahapatra B. Betz‐Stablein Victoria Mar Monika Janda Peter Soyer Zongyuan Ge OOD VLM MedIm 35 7 0 05 Jan 2024
Towards Directive Explanations: Crafting Explainable AI Systems for Actionable Human-AI Interactions Aditya Bhattacharya 13 6 0 29 Dec 2023
Data-Centric Digital Agriculture: A Perspective R. Roscher Lukas Roth C. Stachniss Achim Walter 10 2 0 06 Dec 2023
Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations Maximilian Dreyer Reduan Achtibat Wojciech Samek Sebastian Lapuschkin 32 10 0 28 Nov 2023
Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement Avani Gupta Saurabh Saini P. J. Narayanan 25 6 0 26 Nov 2023
Be Careful When Evaluating Explanations Regarding Ground Truth Hubert Baniecki Maciej Chrabaszcz Andreas Holzinger Bastian Pfeifer Anna Saranti P. Biecek FAtt AAML 46 3 0 08 Nov 2023
The Thousand Faces of Explainable AI Along the Machine Learning Life Cycle: Industrial Reality and Current State of Research Thomas Decker Ralf Gross Alexander Koebler Michael Lebacher Ronald Schnitzer Stefan H. Weber 33 2 0 11 Oct 2023
Establishing Trustworthiness: Rethinking Tasks and Model Evaluation Robert Litschko Max Müller-Eberstein Rob van der Goot Leon Weber Barbara Plank LRM 21 2 0 09 Oct 2023
Lessons Learned from EXMOS User Studies: A Technical Report Summarizing Key Takeaways from User Studies Conducted to Evaluate The EXMOS Platform Aditya Bhattacharya Simone Stumpf Lucija Gosak Gregor Stiglic K. Verbert 24 6 0 03 Oct 2023
Towards Fixing Clever-Hans Predictors with Counterfactual Knowledge Distillation Sidney Bender Christopher J. Anders Pattarawat Chormai Heike Marxfeld J. Herrmann G. Montavon CML 25 1 0 02 Oct 2023
May I Ask a Follow-up Question? Understanding the Benefits of Conversations in Neural Network Explainability Tong Zhang X. J. Yang Boyang Albert Li 23 3 0 25 Sep 2023
Targeted Activation Penalties Help CNNs Ignore Spurious Signals Dekai Zhang Matthew Williams Francesca Toni AAML 12 1 0 22 Sep 2023
Towards an MLOps Architecture for XAI in Industrial Applications Leonhard Faubel Thomas Woudsma Leila Methnani Amir Ghorbani Ghezeljhemeidan Fabian Buelow ... Willem D. van Driel Benjamin Kloepper Andreas Theodorou Mohsen Nosratinia Magnus Bång 11 4 0 22 Sep 2023
Learning by Self-Explaining Wolfgang Stammer Felix Friedrich David Steinmann Manuel Brack Hikaru Shindo Kristian Kersting 20 7 0 15 Sep 2023
Distance-Aware eXplanation Based Learning Misgina Tsighe Hagos Niamh Belton Kathleen M. Curran Brian Mac Namee FAtt 23 0 0 11 Sep 2023