Human Uncertainty in Concept-Based AI Systems

Human Uncertainty in Concept-Based AI Systems

22 March 2023

Katherine M. Collins

Ilia Sucholutsky

Krishnamurthy Dvijotham

Papers citing "Human Uncertainty in Concept-Based AI Systems"

10 / 10 papers shown

Title
Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts M. Zarlenga Gabriele Dominici Pietro Barbiero Z. Shams M. Jamnik KELM 155 0 0 24 Apr 2025
Revisiting Rogers' Paradox in the Context of Human-AI Interaction K. M. Collins Umang Bhatt Ilia Sucholutsky 46 1 0 16 Jan 2025
Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation Katherine M. Collins Najoung Kim Yonatan Bitton Verena Rieser Shayegan Omidshafiei ... Gang Li Adrian Weller Junfeng He Deepak Ramachandran Krishnamurthy Dvijotham EGVM 45 3 0 24 Jun 2024
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable? Sonia Laguna Ricards Marcinkevics Moritz Vandenhirtz Julia E. Vogt 27 17 0 24 Jan 2024
Learning Personalized Decision Support Policies Umang Bhatt Valerie Chen Katherine M. Collins Parameswaran Kamalaruban Emma Kallina Adrian Weller Ameet Talwalkar OffRL 50 10 0 13 Apr 2023
Ambiguous Images With Human Judgments for Robust Visual Event Classification Kate Sanders Reno Kriz Anqi Liu Benjamin Van Durme 63 12 0 06 Oct 2022
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off M. Zarlenga Pietro Barbiero Gabriele Ciravegna G. Marra Francesco Giannini ... F. Precioso S. Melacci Adrian Weller Pietro Lio' M. Jamnik 79 52 0 19 Sep 2022
Post-hoc Concept Bottleneck Models Mert Yuksekgonul Maggie Wang James Y. Zou 143 185 0 31 May 2022
On Completeness-aware Concept-Based Explanations in Deep Neural Networks Chih-Kuan Yeh Been Kim Sercan Ö. Arik Chun-Liang Li Tomas Pfister Pradeep Ravikumar FAtt 122 297 0 17 Oct 2019
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017