Right for the Right Concept: Revising Neuro-Symbolic Concepts by
Interacting with their Explanations

Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations

25 November 2020

Wolfgang Stammer

Kristian Kersting

Papers citing "Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations"

13 / 13 papers shown

Title
If Concept Bottlenecks are the Question, are Foundation Models the Answer? Nicola Debole Pietro Barbiero Francesco Giannini Andrea Passerini Stefano Teso Emanuele Marconato 44 0 0 28 Apr 2025
MERA: Multimodal and Multiscale Self-Explanatory Model with Considerably Reduced Annotation for Lung Nodule Diagnosis Jiahao Lu Chong Yin Silvia Ingala Kenny Erleben M. Nielsen S. Darkner 49 0 0 27 Apr 2025
Neuro-Symbolic AI in 2024: A Systematic Review Brandon C. Colelough William Regli NAI 54 9 0 09 Jan 2025
GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers Éloi Zablocki Valentin Gerard Amaia Cardiel Eric Gaussier Matthieu Cord Eduardo Valle 64 0 0 23 Nov 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 17 5 0 11 Mar 2024
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations Bhishma Dedhia N. Jha OCL 39 4 0 02 Feb 2024
LR-XFL: Logical Reasoning-based Explainable Federated Learning Yanci Zhang Hanyou Yu LRM 6 7 0 24 Aug 2023
Learning Differentiable Logic Programs for Abstract Visual Reasoning Hikaru Shindo Viktor Pfanschilling D. Dhami Kristian Kersting NAI 16 6 0 03 Jul 2023
Scalable Neural-Probabilistic Answer Set Programming Arseny Skryagin Daniel Ochs D. Dhami Kristian Kersting 22 5 0 14 Jun 2023
Boosting Object Representation Learning via Motion and Object Continuity Quentin Delfosse Wolfgang Stammer Thomas Rothenbacher Dwarak Vittal Kristian Kersting OCL 14 20 0 16 Nov 2022
Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models Ainkaran Santhirasekaram Avinash Kori A. Rockall Mathias Winkler Francesca Toni Ben Glocker FAtt 17 4 0 05 Jul 2022
Post-hoc Concept Bottleneck Models Mert Yuksekgonul Maggie Wang James Y. Zou 130 182 0 31 May 2022
A Rationale-Centric Framework for Human-in-the-loop Machine Learning Jinghui Lu Linyi Yang Brian Mac Namee Yue Zhang 6 39 0 24 Mar 2022