BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts

19 February 2024

Papers citing "BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts"

24 / 24 papers shown

Title
A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction Leander Kurscheidt Paolo Morettin Roberto Sebastiani Andrea Passerini Antonio Vergari 115 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 124 5 0 16 Feb 2025
Neuro-Symbolic AI in 2024: A Systematic Review Brandon C. Colelough William Regli NAI 120 10 0 09 Jan 2025
MARS: A neurosymbolic approach for interpretable drug discovery L. Delong Yojana Gadiya Paola Galdi Jacques D. Fleuriot Daniel Domingo-Fernández 361 2 0 02 Oct 2024
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)? Lorenzo Loconte Antonio Mari G. Gala Robert Peharz Cassio de Campos Erik Quaeghebeur G. Vessio Antonio Vergari 81 11 0 12 Sep 2024
Sum of Squares Circuits Lorenzo Loconte Stefan Mengel Antonio Vergari TPM 93 8 0 21 Aug 2024
Leveraging Explanations in Interactive Machine Learning: An Overview Stefano Teso Öznur Alkan Wolfgang Stammer Elizabeth M. Daly XAI FAtt LRM 91 62 0 29 Jul 2022
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 217 281 0 19 May 2022
Deep Learning with Logical Constraints Eleonora Giunchiglia Mihaela C. Stoian Thomas Lukasiewicz NAI AI4CE 55 61 0 01 May 2022
MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks Nicholas Hoernle Rafael-Michael Karampatsis Vaishak Belle Y. Gal 54 60 0 02 Nov 2021
Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems Subbarao Kambhampati S. Sreedharan Mudit Verma Yantian Zha L. Guan 85 49 0 21 Sep 2021
Laplace Redux -- Effortless Bayesian Deep Learning Erik A. Daxberger Agustinus Kristiadi Alexander Immer Runa Eschenhagen Matthias Bauer Philipp Hennig BDL UQCV 194 311 0 28 Jun 2021
Independent mechanism analysis, a new concept? Luigi Gresele Julius von Kügelgen Vincent Stimper Bernhard Schölkopf M. Besserve CML 45 102 0 09 Jun 2021
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 269 1,911 0 12 Nov 2020
Coherent Hierarchical Multi-Label Classification Networks Eleonora Giunchiglia Thomas Lukasiewicz AILaw 171 97 0 20 Oct 2020
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users Laurent Valentin Jospin Wray Buntine F. Boussaïd Hamid Laga Bennamoun OOD BDL UQCV 77 625 0 14 Jul 2020
Concept Bottleneck Models Pang Wei Koh Thao Nguyen Y. S. Tang Stephen Mussmann Emma Pierson Been Kim Percy Liang 94 820 0 09 Jul 2020
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning Qing Li Siyuan Huang Yining Hong Yixin Chen Ying Nian Wu Song-Chun Zhu NAI 64 83 0 11 Jun 2020
Calibrating Deep Neural Networks using Focal Loss Jishnu Mukhoti Viveka Kulharia Amartya Sanyal Stuart Golodetz Philip Torr P. Dokania UQCV 81 459 0 21 Feb 2020
Analyzing Differentiable Fuzzy Logic Operators Emile van Krieken Erman Acar F. V. Harmelen NAI AI4CE 80 132 0 14 Feb 2020
Neural Probabilistic Logic Programming in DeepProbLog Robin Manhaeve Sebastijan Dumancic Angelika Kimmig T. Demeester Luc de Raedt NAI 78 553 0 18 Jul 2019
When Does Label Smoothing Help? Rafael Müller Simon Kornblith Geoffrey E. Hinton UQCV 179 1,938 0 06 Jun 2019
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 342 4,700 0 15 Mar 2017
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 478 62,122 0 04 Jun 2015