Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?

24 January 2024

Papers citing "Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?"

21 / 21 papers shown

Title
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection Moritz Vandenhirtz Julia E. Vogt 35 0 0 09 May 2025
Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization Emiliano Penaloza Tianyue H. Zhan Laurent Charlin Mateo Espinosa Zarlenga 45 0 0 25 Apr 2025
Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts M. Zarlenga Gabriele Dominici Pietro Barbiero Z. Shams M. Jamnik KELM 152 0 0 24 Apr 2025
Interpretable Generative Models through Post-hoc Concept Bottlenecks Akshay Kulkarni Ge Yan Chung-En Sun Tuomas P. Oikarinen Tsui-Wei Weng 45 0 0 25 Mar 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
Mechanistic Interpretability of Emotion Inference in Large Language Models Ala Nekouvaght Tak Amin Banayeeanzade Anahita Bolourani Mina Kian Robin Jia Jonathan Gratch 49 0 0 08 Feb 2025
Concept-driven Off Policy Evaluation Ritam Majumdar Jack Teversham Sonali Parbhoo OffRL 66 0 0 28 Nov 2024
Exploiting Interpretable Capabilities with Concept-Enhanced Diffusion and Prototype Networks Alba Carballo-Castro Sonia Laguna Moritz Vandenhirtz Julia E. Vogt DiffM 24 1 0 24 Oct 2024
Are They the Same Picture? Adapting Concept Bottleneck Models for Human-AI Collaboration in Image Retrieval Vaibhav Balloli Sara Beery Elizabeth Bondi-Kelly 42 0 0 12 Jul 2024
Concept Bottleneck Models Without Predefined Concepts Simon Schrodi Julian Schur Max Argus Thomas Brox 35 9 0 04 Jul 2024
FI-CBL: A Probabilistic Method for Concept-Based Learning with Expert Rules Lev V. Utkin A. Konstantinov Stanislav R. Kirpichenko 36 0 0 28 Jun 2024
Stochastic Concept Bottleneck Models Moritz Vandenhirtz Sonia Laguna Ricards Marcinkevics Julia E. Vogt 41 9 0 27 Jun 2024
Incorporating Expert Rules into Neural Networks in the Framework of Concept-Based Learning A. Konstantinov Lev V. Utkin 38 3 0 22 Feb 2024
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 58 39 0 22 Mar 2023
GlanceNets: Interpretabile, Leak-proof Concept-based Models Emanuele Marconato Andrea Passerini Stefano Teso 106 64 0 31 May 2022
Post-hoc Concept Bottleneck Models Mert Yuksekgonul Maggie Wang James Y. Zou 143 185 0 31 May 2022
Probing Classifiers: Promises, Shortcomings, and Advances Yonatan Belinkov 226 404 0 24 Feb 2021
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness Sang Michael Xie Ananya Kumar Robbie Jones Fereshte Khani Tengyu Ma Percy Liang OOD 163 62 0 08 Dec 2020
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 242 3,681 0 28 Feb 2017
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,194 0 01 Sep 2014