{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T19:25:48Z","timestamp":1768073148355,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":53,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,4,25]],"date-time":"2022-04-25T00:00:00Z","timestamp":1650844800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Natural Science Foundation of China","award":["Grant No. U21B2026"],"award-info":[{"award-number":["Grant No. U21B2026"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,4,25]]},"DOI":"10.1145\/3485447.3512023","type":"proceedings-article","created":{"date-parts":[[2022,4,25]],"date-time":"2022-04-25T05:13:07Z","timestamp":1650863587000},"page":"3031-3041","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Explainable Neural Rule Learning"],"prefix":"10.1145","author":[{"given":"Shaoyun","family":"Shi","sequence":"first","affiliation":[{"name":"Tsinghua University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuexiang","family":"Xie","sequence":"additional","affiliation":[{"name":"Alibaba Group, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhen","family":"Wang","sequence":"additional","affiliation":[{"name":"Alibaba Group, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bolin","family":"Ding","sequence":"additional","affiliation":[{"name":"Alibaba Group, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaliang","family":"Li","sequence":"additional","affiliation":[{"name":"Alibaba Group, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min","family":"Zhang","sequence":"additional","affiliation":[{"name":"Tsinghua University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,4,25]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0130140"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"e_1_3_2_1_3_1","unstructured":"Leo Breiman J.\u00a0H. Friedman R.\u00a0A. Olshen and C.\u00a0J. Stone. 1984. Classification and Regression Trees. Wadsworth."},{"key":"e_1_3_2_1_4_1","volume-title":"Efficient Architecture Search by Network Transformation","author":"Cai Han","unstructured":"Han Cai, Tianyao Chen, Weinan Zhang, Yong Yu, and Jun Wang. 2018. Efficient Architecture Search by Network Transformation. In AAAI. AAAI Press, 2787\u20132794."},{"key":"e_1_3_2_1_5_1","unstructured":"Han Cai Jiacheng Yang Weinan Zhang Song Han and Yong Yu. 2018. Path-Level Network Transformation for Efficient Architecture Search. In ICML(Proceedings of Machine Learning Research Vol.\u00a080). PMLR 677\u2013686."},{"key":"e_1_3_2_1_6_1","volume-title":"DATA: Differentiable ArchiTecture Approximation. In NeurIPS. 874\u2013884.","author":"Chang Jianlong","year":"2019","unstructured":"Jianlong Chang, Xinbang Zhang, Yiwen Guo, Gaofeng Meng, Shiming Xiang, and Chunhong Pan. 2019. DATA: Differentiable ArchiTecture Approximation. In NeurIPS. 874\u2013884."},{"key":"e_1_3_2_1_7_1","unstructured":"Hanxiong Chen Shaoyun Shi Yunqi Li and Yongfeng Zhang. 2021. Neural Collaborative Reasoning. In WWW. ACM \/ IW3C2 1516\u20131527."},{"key":"e_1_3_2_1_8_1","volume-title":"Statistical models in S","author":"Clark A","unstructured":"Linda\u00a0A Clark and Daryl Pregibon. 2017. Tree-based models. In Statistical models in S. Routledge, 377\u2013419."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Dawei Cong Yanyan Zhao Bing Qin Yu Han Murray Zhang Alden Liu and Nat Chen. 2019. Hierarchical Attention based Neural Network for Explainable Recommendation. In ICMR. ACM 373\u2013381.","DOI":"10.1145\/3323873.3326592"},{"key":"e_1_3_2_1_10_1","unstructured":"Arun Das and Paul Rad. 2020. Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey. CoRR abs\/2006.11371(2020)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Wei Deng Junwei Pan Tian Zhou Deguang Kong Aaron Flores and Guang Lin. 2021. DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving. In WSDM. ACM 922\u2013930.","DOI":"10.1145\/3437963.3441727"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.2307\/1403797"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"David\u00a0A Freedman. 2009. Statistical models: theory and practice. cambridge university press.","DOI":"10.1017\/CBO9780511815867"},{"key":"e_1_3_2_1_14_1","volume-title":"Artificial neural networks (the multilayer perceptron)\u2014a review of applications in the atmospheric sciences. Atmospheric environment 32, 14-15","author":"Gardner W","year":"1998","unstructured":"Matt\u00a0W Gardner and SR Dorling. 1998. Artificial neural networks (the multilayer perceptron)\u2014a review of applications in the atmospheric sciences. Atmospheric environment 32, 14-15 (1998), 2627\u20132636."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li and Xiuqiang He. 2017. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. In IJCAI. ijcai.org 1725\u20131731.","DOI":"10.24963\/ijcai.2017\/239"},{"key":"e_1_3_2_1_16_1","unstructured":"Dan Hendrycks and Thomas\u00a0G. Dietterich. 2019. Benchmarking Neural Network Robustness to Common Corruptions and Perturbations. In ICLR (Poster). OpenReview.net."},{"key":"e_1_3_2_1_17_1","volume-title":"ECCV (7)(Lecture Notes in Computer Science, Vol.\u00a011211)","author":"Hu Ronghang","unstructured":"Ronghang Hu, Jacob Andreas, Trevor Darrell, and Kate Saenko. 2018. Explainable Neural Computation via Stack Neural Module Networks. In ECCV (7)(Lecture Notes in Computer Science, Vol.\u00a011211). Springer, 55\u201371."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Mark Ibrahim Melissa Louie Ceena Modarres and John\u00a0W. Paisley. 2019. Global Explanations of Neural Networks: Mapping the Landscape of Predictions. In AIES. ACM 279\u2013287.","DOI":"10.1145\/3306618.3314230"},{"key":"e_1_3_2_1_19_1","volume-title":"NAACL-HLT (1)","author":"Jain Sarthak","unstructured":"Sarthak Jain and Byron\u00a0C. Wallace. 2019. Attention is not Explanation. In NAACL-HLT (1). Association for Computational Linguistics, 3543\u20133556."},{"key":"e_1_3_2_1_20_1","unstructured":"Eric Jang Shixiang Gu and Ben Poole. 2017. Categorical Reparameterization with Gumbel-Softmax. In ICLR (Poster). OpenReview.net."},{"key":"e_1_3_2_1_21_1","volume-title":"Kingma and Jimmy Ba","author":"P.","year":"2015","unstructured":"Diederik\u00a0P. Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In ICLR (Poster)."},{"key":"e_1_3_2_1_22_1","volume-title":"Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid","author":"Kohavi Ron","unstructured":"Ron Kohavi. 1996. Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In KDD. AAAI Press, 202\u2013207."},{"key":"e_1_3_2_1_23_1","volume-title":"Deep Neural Decision Forests","author":"Kontschieder Peter","unstructured":"Peter Kontschieder, Madalina Fiterau, Antonio Criminisi, and Samuel\u00a0Rota Bul\u00f2. 2016. Deep Neural Decision Forests. In IJCAI. IJCAI\/AAAI Press, 4190\u20134194."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(05)80131-5"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","unstructured":"Heyi Li Yunke Tian Klaus Mueller and Xin Chen. 2019. Beyond saliency: Understanding convolutional neural networks from saliency prediction on layer-wise relevance propagation. Image Vis. Comput. 83-84(2019) 70\u201386.","DOI":"10.1016\/j.imavis.2019.02.005"},{"key":"e_1_3_2_1_26_1","volume-title":"GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media","author":"Lu Yi-Ju","year":"2020","unstructured":"Yi-Ju Lu and Cheng-Te Li. 2020. GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media. In ACL. Association for Computational Linguistics, 505\u2013514."},{"key":"e_1_3_2_1_27_1","volume-title":"Deep Learning: A Critical Appraisal. CoRR abs\/1801.00631(2018).","author":"Marcus Gary","year":"2018","unstructured":"Gary Marcus. 2018. Deep Learning: A Critical Appraisal. CoRR abs\/1801.00631(2018)."},{"key":"e_1_3_2_1_28_1","volume-title":"International Conference on Learning Representations.","author":"Nagarajan Vaishnavh","year":"2021","unstructured":"Vaishnavh Nagarajan, Anders Andreassen, and Behnam Neyshabur. 2021. Understanding the failure modes of out-of-distribution generalization. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_29_1","volume-title":"Neural networks and deep learning. Vol.\u00a025","author":"Nielsen A","unstructured":"Michael\u00a0A Nielsen. 2015. Neural networks and deep learning. Vol.\u00a025. Determination press San Francisco, CA."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106384"},{"key":"e_1_3_2_1_31_1","volume-title":"ACL (1)","author":"Pasunuru Ramakanth","year":"1911","unstructured":"Ramakanth Pasunuru and Mohit Bansal. 2019. Continual and Multi-Task Architecture Search. In ACL (1). Association for Computational Linguistics, 1911\u20131922."},{"key":"e_1_3_2_1_32_1","unstructured":"Ali Payani and Faramarz Fekri. 2019. Learning Algorithms via Neural Logic Networks. CoRR abs\/1904.01554(2019)."},{"key":"e_1_3_2_1_33_1","unstructured":"Hieu Pham Melody\u00a0Y. Guan Barret Zoph Quoc\u00a0V. Le and Jeff Dean. 2018. Efficient Neural Architecture Search via Parameter Sharing. In ICML(Proceedings of Machine Learning Research Vol.\u00a080). PMLR 4092\u20134101."},{"key":"e_1_3_2_1_34_1","first-page":"1","article-title":"Manipulating and Measuring Model Interpretability","volume":"237","author":"Poursabzi-Sangdeh Forough","year":"2021","unstructured":"Forough Poursabzi-Sangdeh, Daniel\u00a0G. Goldstein, Jake\u00a0M. Hofman, Jennifer\u00a0Wortman Vaughan, and Hanna\u00a0M. Wallach. 2021. Manipulating and Measuring Model Interpretability. In CHI. ACM, 237:1\u2013237:52.","journal-title":"CHI. ACM"},{"key":"e_1_3_2_1_35_1","unstructured":"Benjamin Recht Rebecca Roelofs Ludwig Schmidt and Vaishaal Shankar. 2019. Do ImageNet Classifiers Generalize to ImageNet?. In ICML(Proceedings of Machine Learning Research Vol.\u00a097). PMLR 5389\u20135400."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447582"},{"key":"e_1_3_2_1_37_1","volume-title":"IJCAI 2001 workshop on empirical methods in artificial intelligence, Vol.\u00a03. 41\u201346","author":"Rish Irina","year":"2001","unstructured":"Irina Rish 2001. An empirical study of the naive Bayes classifier. In IJCAI 2001 workshop on empirical methods in artificial intelligence, Vol.\u00a03. 41\u201346."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0212356"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"crossref","unstructured":"Wen Shen Zhihua Wei Shikun Huang Binbin Zhang Jiaqi Fan Ping Zhao and Quanshi Zhang. 2021. Interpretable Compositional Convolutional Neural Networks. In IJCAI. ijcai.org 2971\u20132978.","DOI":"10.24963\/ijcai.2021\/409"},{"key":"e_1_3_2_1_41_1","unstructured":"Shaoyun Shi Hanxiong Chen Weizhi Ma Jiaxin Mao Min Zhang and Yongfeng Zhang. 2020. Neural Logic Reasoning. In CIKM. ACM 1365\u20131374."},{"key":"e_1_3_2_1_42_1","unstructured":"Shaoyun Shi Min Zhang Xinxing Yu Yongfeng Zhang Bin Hao Yiqun Liu and Shaoping Ma. 2019. Adaptive Feature Sampling for Recommendation with Missing Content Feature Values. In CIKM. ACM 1451\u20131460."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"crossref","unstructured":"Weiping Song Chence Shi Zhiping Xiao Zhijian Duan Yewen Xu Ming Zhang and Jian Tang. 2019. AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks. In CIKM. ACM 1161\u20131170.","DOI":"10.1145\/3357384.3357925"},{"key":"e_1_3_2_1_44_1","volume-title":"A beginner\u2019s guide to discrete mathematics","author":"Wallis Walter\u00a0Denis","unstructured":"Walter\u00a0Denis Wallis. 2011. A beginner\u2019s guide to discrete mathematics. Springer Science & Business Media."},{"key":"e_1_3_2_1_45_1","volume-title":"NBDT: Neural-Backed Decision Tree. In ICLR. OpenReview.net.","author":"Wan Alvin","year":"2021","unstructured":"Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Suzanne Petryk, Sarah\u00a0Adel Bargal, and Joseph\u00a0E. Gonzalez. 2021. NBDT: Neural-Backed Decision Tree. In ICLR. OpenReview.net."},{"key":"e_1_3_2_1_46_1","volume-title":"Template-Based Math Word Problem Solvers with Recursive Neural Networks","author":"Wang Lei","unstructured":"Lei Wang, Dongxiang Zhang, Jipeng Zhang, Xing Xu, Lianli Gao, Bing\u00a0Tian Dai, and Heng\u00a0Tao Shen. 2019. Template-Based Math Word Problem Solvers with Recursive Neural Networks. In AAAI. AAAI Press, 7144\u20137151."},{"key":"e_1_3_2_1_47_1","volume-title":"Transparent Classification with Multilayer Logical Perceptrons and Random Binarization","author":"Wang Zhuo","unstructured":"Zhuo Wang, Wei Zhang, Ning Liu, and Jianyong Wang. 2020. Transparent Classification with Multilayer Logical Perceptrons and Random Binarization. In AAAI. AAAI Press, 6331\u20136339."},{"key":"e_1_3_2_1_48_1","volume-title":"EMNLP\/IJCNLP (1)","author":"Wiegreffe Sarah","unstructured":"Sarah Wiegreffe and Yuval Pinter. 2019. Attention is not not Explanation. In EMNLP\/IJCNLP (1). Association for Computational Linguistics, 11\u201320."},{"key":"e_1_3_2_1_49_1","unstructured":"Sirui Xie Hehui Zheng Chunxiao Liu and Liang Lin. 2019. SNAS: stochastic neural architecture search. In ICLR (Poster). OpenReview.net."},{"key":"e_1_3_2_1_50_1","volume-title":"FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. In KDD. ACM, 3795\u20133805.","author":"Xie Yuexiang","year":"2021","unstructured":"Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe\u00a0Merve G\u00fcrel, Ce Zhang, Minlie Huang, Wei Lin, and Jingren Zhou. 2021. FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. In KDD. ACM, 3795\u20133805."},{"key":"e_1_3_2_1_51_1","volume-title":"Explainable Text-Driven Neural Network for Stock Prediction","author":"Yang Linyi","unstructured":"Linyi Yang, Zheng Zhang, Su Xiong, Lirui Wei, James Ng, Lina Xu, and Ruihai Dong. 2018. Explainable Text-Driven Neural Network for Stock Prediction. In CCIS. IEEE, 441\u2013445."},{"key":"e_1_3_2_1_52_1","unstructured":"Yongxin Yang Irene\u00a0Garcia Morillo and Timothy\u00a0M. Hospedales. 2018. Deep Neural Decision Trees. CoRR abs\/1806.06988(2018)."},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/3446776"}],"event":{"name":"WWW '22: The ACM Web Conference 2022","location":"Virtual Event, Lyon France","acronym":"WWW '22","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the ACM Web Conference 2022"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3485447.3512023","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3485447.3512023","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:06Z","timestamp":1750188606000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3485447.3512023"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,25]]},"references-count":53,"alternative-id":["10.1145\/3485447.3512023","10.1145\/3485447"],"URL":"https:\/\/doi.org\/10.1145\/3485447.3512023","relation":{},"subject":[],"published":{"date-parts":[[2022,4,25]]},"assertion":[{"value":"2022-04-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}