Learning programs by learning from failures

5 May 2020

Papers citing "Learning programs by learning from failures"

12 / 12 papers shown

Title
Neuro-Symbolic Contrastive Learning for Cross-domain Inference Mingyue Liu Ryo Ueda Zhen Wan Katsumi Inoue Chris G. Willcocks NAI 70 0 0 13 Feb 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Y. Yang Xiao Lin Zhipeng Zhao SSL 69 9 0 28 Jan 2025
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation Bowen Li Zhaoyu Li Qiwei Du Jinqi Luo Wenshan Wang ... Katia P. Sycara Pradeep Kumar Ravikumar Alexander G. Gray X. Si Sebastian A. Scherer AI4CE LRM 74 3 0 01 Nov 2024
Relational decomposition for program synthesis Céline Hocquette Andrew Cropper 34 4 0 22 Aug 2024
Solving Witness-type Triangle Puzzles Faster with an Automatically Learned Human-Explainable Predicate J. Stevens V. Bulitko David Thue 11 1 0 04 Aug 2023
Generalisation Through Negation and Predicate Invention David M. Cerna Andrew Cropper NAI 19 3 0 18 Jan 2023
Relational program synthesis with numerical reasoning Céline Hocquette Andrew Cropper ReCod NAI 23 2 0 03 Oct 2022
CORNET: Learning Table Formatting Rules By Example Mukul Singh J. Cambronero Sumit Gulwani Vu Le Carina Negreanu Mohammad Raza Gust Verbruggen LMTD 35 8 0 11 Aug 2022
A Critical Review of Inductive Logic Programming Techniques for Explainable AI Zheng Zhang Liangliang Xu L. Yilmaz Bo Liu 16 7 0 31 Dec 2021
Predicate Invention by Learning From Failures Andrew Cropper Rolf Morel 9 12 0 29 Apr 2021
Making sense of sensory input Maciej Wołczyk Jacek Tabor Johannes Welbl Szymon Maszke Marek Sergot 11 51 0 05 Oct 2019
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 243 893 0 11 Nov 2017