Rule Learning by Modularity

23 December 2022

Papers citing "Rule Learning by Modularity"

18 / 18 papers shown

Title
Learning Higher-Order Programs without Meta-Interpretive Learning Stanislaw J. Purgal David M. Cerna C. Kaliszyk 42 12 0 29 Dec 2021
Inductive logic programming at 30 Andrew Cropper Sebastijan Dumancic Richard Evans Stephen Muggleton AI4CE 70 77 0 21 Feb 2021
Rule Extraction from Binary Neural Networks with Convolutional Rules for Model Validation Sophie Burkhardt Jannis Brugger Nicolas Wagner Zahra Ahmadi Kristian Kersting Stefan Kramer NAI FAtt 83 8 0 15 Dec 2020
A Survey on the Explainability of Supervised Machine Learning Nadia Burkart Marco F. Huber FaML XAI 55 776 0 16 Nov 2020
An Ensemble of Simple Convolutional Neural Network Models for MNIST Digit Recognition Sanghyeon An Min Jun Lee Sanglee Park H. Yang Jungmin So 74 79 0 12 Aug 2020
Fine-Tuning DARTS for Image Classification M. Tanveer Muhammad Umar Karim Khan C. Kyung 135 49 0 16 Jun 2020
Explainable Artificial Intelligence: a Systematic Review Giulia Vilone Luca Longo XAI 94 271 0 29 May 2020
Learning programs by learning from failures Andrew Cropper Rolf Morel 94 92 0 05 May 2020
The ILASP system for Inductive Learning of Answer Set Programs Mark Law A. Russo Krysia Broda 109 53 0 02 May 2020
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 689 24,557 0 26 Jul 2019
Inductive Logic Programming via Differentiable Deep Neural Logic Networks Ali Payani Faramarz Fekri AI4CE 47 41 0 08 Jun 2019
The Convolutional Tsetlin Machine Ole-Christoffer Granmo Sondre Glimsdal Lei Jiao M. G. Olsen C. Omlin G. T. Berge 37 81 0 23 May 2019
Incremental and Iterative Learning of Answer Set Programs from Mutually Distinct Examples Arindam Mitra Chitta Baral CLL 18 9 0 22 Feb 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 202 9,479 0 09 Feb 2018
Learning Explanatory Rules from Noisy Data Richard Evans Edward Grefenstette 124 487 0 13 Nov 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,928 0 25 Aug 2017
Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation Sebastijan Dumancic Hendrik Blockeel SSL 48 15 0 28 Jun 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 817 39,062 0 09 Mar 2016