{"total":38,"rows":[{"id":"2111.06206","title":"Defining and Quantifying the Emergence of Sparse Concepts in DNNs","created":"2021-11-11","cited_by_count":36,"area":null},{"id":"2301.02819","title":"ExcelFormer: A neural network surpassing GBDTs on tabular data","created":"2023-01-07","cited_by_count":34,"area":null},{"id":"2307.08161","title":"Assessing the Quality of Multiple-Choice Questions Using GPT-4 and Rule-Based Methods","created":"2023-07-16","cited_by_count":24,"area":null},{"id":"2501.15638","title":"A Comprehensive Survey on Self-Interpretable Neural Networks","created":"2025-01-26","cited_by_count":18,"area":null},{"id":"2306.01499","title":"Can LLMs like GPT-4 outperform traditional AI tools in dementia diagnosis? Maybe, but not today","created":"2023-06-02","cited_by_count":14,"area":null},{"id":"2407.04168","title":"Learning Interpretable Differentiable Logic Networks","created":"2024-07-04","cited_by_count":10,"area":null},{"id":"2201.06515","title":"Differentiable Rule Induction with Learned Relational Features","created":"2022-01-17","cited_by_count":8,"area":null},{"id":"2209.09114","title":"Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description","created":"2022-09-15","cited_by_count":8,"area":null},{"id":"2312.04311","title":"Finding Interpretable Class-Specific Patterns through Efficient Neural Search","created":"2023-12-07","cited_by_count":5,"area":null},{"id":"2402.12930","title":"Learning Exceptional Subgroups by End-to-End Maximizing KL-divergence","created":"2024-02-20","cited_by_count":5,"area":null},{"id":"2208.08609","title":"A Scalable, Interpretable, Verifiable & Differentiable Logic Gate Convolutional Neural Network Architecture From Truth Tables","created":"2022-08-18","cited_by_count":4,"area":null},{"id":"2201.05279","title":"Manifoldron: Direct Space Partition via Manifold Discovery","created":"2022-01-14","cited_by_count":2,"area":null},{"id":"2502.01375","title":"Compact Rule-Based Classifier Learning via Gradient Descent","created":"2025-02-03","cited_by_count":2,"area":null},{"id":"2505.23615","title":"Learning Interpretable Differentiable Logic Networks for Tabular Regression","created":"2025-05-29","cited_by_count":2,"area":null},{"id":"2508.08172","title":"Neural Logic Networks for Interpretable Classification","created":"2025-08-11","cited_by_count":2,"area":null},{"id":"2208.07211","title":"RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation","created":"2022-08-12","cited_by_count":1,"area":null},{"id":"2210.12849","title":"Learning to Advise Humans in High-Stakes Settings","created":"2022-10-23","cited_by_count":1,"area":null},{"id":"2304.00731","title":"An Interpretable Loan Credit Evaluation Method Based on Rule Representation Learner","created":"2023-04-03","cited_by_count":1,"area":null},{"id":"2312.07103","title":"The Computational Complexity of Concise Hypersphere Classification","created":"2023-12-12","cited_by_count":1,"area":null},{"id":"2411.06428","title":"Neuro-Symbolic Rule Lists","created":"2024-11-10","cited_by_count":1,"area":null},{"id":"2204.05251","title":"Bayes Point Rule Set Learning","created":"2022-04-11","cited_by_count":0,"area":null},{"id":"2302.02528","title":"Personalized Interpretable Classification","created":"2023-02-06","cited_by_count":0,"area":null},{"id":"2302.04528","title":"Explaining with Greater Support: Weighted Column Sampling Optimization for q-Consistent Summary-Explanations","created":"2023-02-09","cited_by_count":0,"area":null},{"id":"2309.11101","title":"A New Interpretable Neural Network-Based Rule Model for Healthcare Decision Making","created":"2023-09-20","cited_by_count":0,"area":null},{"id":"2310.10321","title":"Hamming Encoder: Mining Discriminative k-mers for Discrete Sequence Classification","created":"2023-10-16","cited_by_count":0,"area":null},{"id":"2408.11918","title":"Interpretable Classification via a Rule Network with Selective Logical Operators","created":"2024-08-21","cited_by_count":0,"area":null},{"id":"2409.05586","title":"Interpretable Responsibility Sharing as a Heuristic for Task and Motion Planning","created":"2024-09-09","cited_by_count":0,"area":null},{"id":"2412.19530","title":"The Value of AI Advice: Personalized and Value-Maximizing AI Advisors Are Necessary to Reliably Benefit Experts and Organizations","created":"2024-12-27","cited_by_count":0,"area":null},{"id":"2503.13548","title":"Fuzzy Rule-based Differentiable Representation Learning","created":"2025-03-16","cited_by_count":0,"area":null},{"id":"2509.22384","title":"(Sometimes) Less is More: Mitigating the Complexity of Rule-based Representation for Interpretable Classification","created":"2025-09-26","cited_by_count":0,"area":null},{"id":"2512.11616","title":"A Fast Interpretable Fuzzy Tree Learner","created":"2025-12-12","cited_by_count":0,"area":null},{"id":"2512.12225","title":"A Geometric Theory of Cognition for Machine Intelligence","created":"2025-12-13","cited_by_count":0,"area":null},{"id":"2603.07606","title":"TT-Sparse: Learning Sparse Rule Models with Differentiable Truth Tables","created":"2026-03-08","cited_by_count":0,"area":null},{"id":"2605.10569","title":"Deep Arguing","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2605.31189","title":"FlagGAM: Rule-Basis Generalized Additive Models for Explainable Tabular Prediction","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2608.05859","title":"Evidential Rule Learning for Interpretable Classification with Abstention","created":"2026-08-06","cited_by_count":0,"area":null},{"id":"2609.03878","title":"Differentiable Interval Bottlenecks for Interpretable Anomaly Detection in Numerical Data","created":"2026-09-03","cited_by_count":0,"area":null},{"id":"2609.18049","title":"Regional Explanations via Causal Sufficiency and Necessity","created":"2026-09-16","cited_by_count":0,"area":null}],"next_cursor":null}