Scalable Rule-Based Representation Learning for Interpretable Classification

30 September 2021

Wei Zhang

Papers citing "Scalable Rule-Based Representation Learning for Interpretable Classification"

28 / 28 papers shown

Title
Fuzzy Rule-based Differentiable Representation Learning Wei Zhang Zhaohong Deng Guanjin Wang K. Choi 39 0 0 16 Mar 2025
Compact Rule-Based Classifier Learning via Gradient Descent Javier Fumanal-Idocin Raquel Fernandez-Peralta Javier Andreu-Perez 58 0 0 03 Feb 2025
Neuro-Symbolic Rule Lists Sascha Xu Nils Philipp Walter Jilles Vreeken 33 0 0 10 Nov 2024
Interpretable Responsibility Sharing as a Heuristic for Task and Motion Planning Arda Sarp Yenicesu Sepehr Nourmohammadi Berk Cicek Ozgur S. Oguz 62 0 0 09 Sep 2024
Neural Symbolic Logical Rule Learner for Interpretable Learning Bowen Wei Ziwei Zhu AI4CE 11 0 0 21 Aug 2024
Learning Interpretable Differentiable Logic Networks Chang Yue N. Jha NAI AI4CE 16 0 0 04 Jul 2024
Learning Exceptional Subgroups by End-to-End Maximizing KL-divergence Sascha Xu Nils Philipp Walter Janis Kalofolias Jilles Vreeken 16 1 0 20 Feb 2024
The Computational Complexity of Concise Hypersphere Classification E. Eiben R. Ganian Iyad A. Kanj S. Ordyniak Stefan Szeider 24 1 0 12 Dec 2023
Finding Interpretable Class-Specific Patterns through Efficient Neural Search Nils Philipp Walter Jonas Fischer Jilles Vreeken 13 4 0 07 Dec 2023
Hamming Encoder: Mining Discriminative k-mers for Discrete Sequence Classification Junjie Dong Mudi Jiang Lianyu Hu Zengyou He 17 0 0 16 Oct 2023
A New Interpretable Neural Network-Based Rule Model for Healthcare Decision Making Adrien Benamira Tristan Guérand Thomas Peyrin AI4CE 13 0 0 20 Sep 2023
Assessing the Quality of Multiple-Choice Questions Using GPT-4 and Rule-Based Methods Steven Moore H. A. Nguyen Tianying Chen John C. Stamper ELM 8 33 0 16 Jul 2023
Can LLMs like GPT-4 outperform traditional AI tools in dementia diagnosis? Maybe, but not today Zhuo Wang R. Li Bowen Dong Jie Wang Xiuxing Li ... C. Mao Wei Zhang L. Dong Jing Gao Jianyong Wang LM&MA ELM AI4MH 19 19 0 02 Jun 2023
Learning Transformer Programs Dan Friedman Alexander Wettig Danqi Chen 19 32 0 01 Jun 2023
An Interpretable Loan Credit Evaluation Method Based on Rule Representation Learner Zi-yu Chen Xiaomeng Wang Yuanjiang Huang Tao Jia 18 1 0 03 Apr 2023
Explaining with Greater Support: Weighted Column Sampling Optimization for q-Consistent Summary-Explanations Chen Peng Zhengqi Dai Guangping Xia Yajie Niu Yihui Lei 21 0 0 09 Feb 2023
Personalized Interpretable Classification Zengyou He Yifan Tang Yifan Tang Lianyu Hu Yan Liu Yan Liu 20 0 0 06 Feb 2023
ExcelFormer: A neural network surpassing GBDTs on tabular data Jintai Chen Jiahuan Yan Qiyuan Chen D. Z. Chen Jian Wu Jimeng Sun LMTD 33 22 0 07 Jan 2023
Learning to Advise Humans in High-Stakes Settings Nicholas Wolczynski M. Saar-Tsechansky Tong Wang 13 0 0 23 Oct 2022
Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description Ruixuan Yan Tengfei Ma Achille Fokoue Maria Chang A. Julius AI4TS 37 7 0 15 Sep 2022
A Scalable, Interpretable, Verifiable & Differentiable Logic Gate Convolutional Neural Network Architecture From Truth Tables Adrien Benamira Tristan Guérand Thomas Peyrin Trevor Yap Bryan Hooi 24 1 0 18 Aug 2022
RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation Yao Zhang Yun Xiong Yiheng Sun Caihua Shan Tian Lu Hui Song Yangyong Zhu 14 2 0 12 Aug 2022
Bayes Point Rule Set Learning F. Aiolli Luca Bergamin Tommaso Carraro Mirko Polato 14 0 0 11 Apr 2022
A Framework for Following Temporal Logic Instructions with Unknown Causal Dependencies Duo Xu Faramarz Fekri 17 2 0 07 Apr 2022
Differentiable Rule Induction with Learned Relational Features R. Kusters Yusik Kim Marine Collery C. Marie Shubham Gupta 14 14 0 17 Jan 2022
Defining and Quantifying the Emergence of Sparse Concepts in DNNs J. Ren Mingjie Li Qirui Chen Huiqi Deng Quanshi Zhang 10 31 0 11 Nov 2021
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 145 833 0 28 Sep 2019
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,672 0 28 Feb 2017