Learn to Explain Efficiently via Neural Logic Inductive Learning

6 October 2019

Papers citing "Learn to Explain Efficiently via Neural Logic Inductive Learning"

16 / 16 papers shown

Title
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 Yuqing Yang Xiao Lin Zhipeng Zhao SSL 89 9 0 28 Jan 2025
Large Language Model-Enhanced Symbolic Reasoning for Knowledge Base Completion Qiyuan He Jianfei Yu Wenya Wang LRM 31 0 0 03 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 81 3 0 01 Nov 2024
Prompt-fused framework for Inductive Logical Query Answering Zezhong Xu Peng Ye Lei Liang Hua-zeng Chen Wen Zhang 25 1 0 19 Mar 2024
Large Language Models Can Learn Temporal Reasoning Siheng Xiong Ali Payani Ramana Rao Kompella Faramarz Fekri LRM 29 74 0 12 Jan 2024
Neural-Logic Human-Object Interaction Detection Liulei Li Jianan Wei Wenguan Wang Yi Yang 46 16 0 16 Nov 2023
Learning Reliable Logical Rules with SATNet Zhaoyu Li Jinpei Guo Yuhe Jiang Xujie Si LRM NAI 29 2 0 03 Oct 2023
Evaluating Step-by-Step Reasoning through Symbolic Verification Yi-Fan Zhang Hanlin Zhang Li Erran Li Eric P. Xing ReLM LRM 19 8 0 16 Dec 2022
A Noise-tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving Rongzhen Ye Tianqu Zhuang Hai Wan Jianfeng Du Weilin Luo Pingjia Liang 11 2 0 01 Dec 2022
Rule Mining over Knowledge Graphs via Reinforcement Learning Lihan Chen Sihang Jiang Jingping Liu Chao Wang Shenmin Zhang Chenhao Xie Jiaqing Liang Yanghua Xiao Rui Song 38 19 0 21 Feb 2022
Neuro-Symbolic Hierarchical Rule Induction Claire Glanois Xuening Feng Zhaohui Jiang Paul Weng Matthieu Zimmer Dong Li Wulong Liu NAI 36 23 0 26 Dec 2021
Rule Induction in Knowledge Graphs Using Linear Programming S. Dash Joao Goncalves 26 5 0 15 Oct 2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case Natalia Díaz Rodríguez Alberto Lamas Jules Sanchez Gianni Franchi Ivan Donadello Siham Tabik David Filliat P. Cruz Rosana Montes Francisco Herrera 49 77 0 24 Apr 2021
Learning Symbolic Rules for Interpretable Deep Reinforcement Learning Zhihao Ma Yuzheng Zhuang Paul Weng Hankui Zhuo Dong Li Wulong Liu Jianye Hao NAI 51 14 0 15 Mar 2021
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs Jing Zhang Bo Chen Lingxi Zhang Xirui Ke Haipeng Ding NAI 35 3 0 12 Oct 2020
Iterative Visual Reasoning Beyond Convolutions Xinlei Chen Li-Jia Li Li Fei-Fei Abhinav Gupta LRM GNN 40 213 0 29 Mar 2018