{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T05:20:52Z","timestamp":1755926452332,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":51,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,5,31]],"date-time":"2020-05-31T00:00:00Z","timestamp":1590883200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"NYU WIRELESS"},{"name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","award":["209623\/2014-4"],"award-info":[{"award-number":["209623\/2014-4"]}]},{"DOI":"10.13039\/100014718","name":"National Science Foundation","doi-asserted-by":"publisher","award":["MCB-1158273, IOS-1339362, and MCB-1412232"],"award-info":[{"award-number":["MCB-1158273, IOS-1339362, and MCB-1412232"]}],"id":[{"id":"10.13039\/100014718","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000185","name":"Defense Advanced Research Projects Agency","doi-asserted-by":"publisher","award":["D3M"],"award-info":[{"award-number":["D3M"]}],"id":[{"id":"10.13039\/100000185","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,6,11]]},"DOI":"10.1145\/3318464.3389763","type":"proceedings-article","created":{"date-parts":[[2020,5,29]],"date-time":"2020-05-29T17:12:33Z","timestamp":1590772353000},"page":"463-478","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["BugDoc: Algorithms to Debug Computational Processes"],"prefix":"10.1145","author":[{"given":"Raoni","family":"Louren\u00e7o","sequence":"first","affiliation":[{"name":"New York University, New York, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juliana","family":"Freire","sequence":"additional","affiliation":[{"name":"New York University, New York, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dennis","family":"Shasha","sequence":"additional","affiliation":[{"name":"New York University, New York, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,5,31]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Hellerstein","author":"Alvaro Peter","year":"2015","unstructured":"Peter Alvaro , Joshua Rosen , and Joseph M . Hellerstein . 2015 . Lineage-driven Fault Injection. In Proceedings of ACM SIGMOD. 331--346. Peter Alvaro, Joshua Rosen, and Joseph M. Hellerstein. 2015. Lineage-driven Fault Injection. In Proceedings of ACM SIGMOD. 331--346."},{"key":"e_1_3_2_2_2_1","volume-title":"Proceedings of USENIX OSDI. 307--320","author":"Attariyan Mona","year":"2012","unstructured":"Mona Attariyan , Michael Chow , and Jason Flinn . 2012 . X-Ray: Automating Root-Cause Diagnosis of Performance Anomalies in Production Software . In Proceedings of USENIX OSDI. 307--320 . Mona Attariyan, Michael Chow, and Jason Flinn. 2012. X-Ray: Automating Root-Cause Diagnosis of Performance Anomalies in Production Software. In Proceedings of USENIX OSDI. 307--320."},{"key":"e_1_3_2_2_3_1","volume-title":"Automating Configuration Troubleshooting with ConfAid. ;login: 1","author":"Attariyan Mona","year":"2011","unstructured":"Mona Attariyan and Jason Flinn . 2011. Automating Configuration Troubleshooting with ConfAid. ;login: 1 ( 2011 ), 1--14. Mona Attariyan and Jason Flinn. 2011. Automating Configuration Troubleshooting with ConfAid. ;login: 1 (2011), 1--14."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3035918.3035928"},{"key":"e_1_3_2_2_5_1","volume-title":"Intelligent Failure Prediction Models for Scientific Workflows. Expert System Applications 3 (Feb","author":"Bala Anju","year":"2015","unstructured":"Anju Bala and Inderveer Chana . 2015. Intelligent Failure Prediction Models for Scientific Workflows. Expert System Applications 3 (Feb . 2015 ), 980--989. Anju Bala and Inderveer Chana. 2015. Intelligent Failure Prediction Models for Scientific Workflows. Expert System Applications 3 (Feb. 2015), 980--989."},{"key":"e_1_3_2_2_6_1","volume-title":"Proceedings of NIPS. 2546--2554","author":"Bergstra James","year":"2011","unstructured":"James Bergstra , R\u00e9mi Bardenet , Yoshua Bengio , and Bal\u00e1zs K\u00e9gl . 2011 . Algorithms for Hyper-Parameter Optimization . In Proceedings of NIPS. 2546--2554 . James Bergstra, R\u00e9mi Bardenet, Yoshua Bengio, and Bal\u00e1zs K\u00e9gl. 2011. Algorithms for Hyper-Parameter Optimization. In Proceedings of NIPS. 2546--2554."},{"key":"e_1_3_2_2_7_1","volume-title":"Random Search for Hyper-parameter Optimization. JMLR (Feb","author":"Bergstra James","year":"2012","unstructured":"James Bergstra and Yoshua Bengio . 2012. Random Search for Hyper-parameter Optimization. JMLR (Feb . 2012 ), 281--305. James Bergstra and Yoshua Bengio. 2012. Random Search for Hyper-parameter Optimization. JMLR (Feb. 2012), 281--305."},{"volume-title":"Proceedings of ICML. 115--123","author":"Bergstra J.","key":"e_1_3_2_2_8_1","unstructured":"J. Bergstra , D. Yamins , and D. D. Cox . 2013. Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures . In Proceedings of ICML. 115--123 . J. Bergstra, D. Yamins, and D. D. Cox. 2013. Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures. In Proceedings of ICML. 115--123."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.14778\/3157794.3157800"},{"key":"e_1_3_2_2_10_1","volume-title":"Large Scale GAN Training for High Fidelity Natural Image Synthesis., 35 pages.arxiv","author":"Brock Andrew","year":"1809","unstructured":"Andrew Brock , Jeff Donahue , and Karen Simonyan . 2018. Large Scale GAN Training for High Fidelity Natural Image Synthesis., 35 pages.arxiv : 1809 .11096 Andrew Brock, Jeff Donahue, and Karen Simonyan. 2018. Large Scale GAN Training for High Fidelity Natural Image Synthesis., 35 pages.arxiv: 1809.11096"},{"key":"e_1_3_2_2_11_1","volume-title":"Yoshua Bengio, and Wenjie Li.","author":"Che Tong","year":"2016","unstructured":"Tong Che , Yanran Li , Athul Paul Jacob , Yoshua Bengio, and Wenjie Li. 2016 . Mode Regularized Generative Adversarial Networks ., 13 pages.arxiv: 1612.02136 Tong Che, Yanran Li, Athul Paul Jacob, Yoshua Bengio, and Wenjie Li. 2016. Mode Regularized Generative Adversarial Networks., 13 pages.arxiv: 1612.02136"},{"key":"e_1_3_2_2_12_1","volume-title":"Proceedings of CIDR. 1--7.","author":"Chen Ang","year":"2017","unstructured":"Ang Chen , Yang Wu , Andreas Haeberlen , Boon T. Loo , and Wenchao Zhou . 2017 . Data Provenance at Internet Scale: Architecture, Experiences, and the Road Ahead . In Proceedings of CIDR. 1--7. Ang Chen, Yang Wu, Andreas Haeberlen, Boon T. Loo, and Wenchao Zhou. 2017. Data Provenance at Internet Scale: Architecture, Experiences, and the Road Ahead. In Proceedings of CIDR. 1--7."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/DSN.2002.1029005"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2882903.2915245"},{"key":"e_1_3_2_2_15_1","volume-title":"Discovering Denial Constraints. Proceeding of VLDB Endowment 13 (Aug","author":"Chu Xu","year":"2013","unstructured":"Xu Chu , Ihab F. Ilyas , and Paolo Papotti . 2013. Discovering Denial Constraints. Proceeding of VLDB Endowment 13 (Aug . 2013 ), 1498--1509. Xu Chu, Ihab F. Ilyas, and Paolo Papotti. 2013. Discovering Denial Constraints. Proceeding of VLDB Endowment 13 (Aug. 2013), 1498--1509."},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052662"},{"key":"e_1_3_2_2_17_1","volume-title":"Proceedings of ICAPS. 115--123","author":"Dolatnia Nima","year":"2016","unstructured":"Nima Dolatnia , Alan Fern , and Xiaoli Fern . 2016 . Bayesian Optimization with Resource Constraints and Production . In Proceedings of ICAPS. 115--123 . Nima Dolatnia, Alan Fern, and Xiaoli Fern. 2016. Bayesian Optimization with Resource Constraints and Production. In Proceedings of ICAPS. 115--123."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.14778\/2735461.2735467"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2012.14"},{"key":"e_1_3_2_2_20_1","unstructured":"Juliana Freire David Koop Emanuele Santos Carlos Scheidegger Cl\u00e1udio T. Silva and H. T. Vo. 2011. The Architecture of Open Source Applications - Chapter 23. VisTrails. Computer (2011) 367--386.  Juliana Freire David Koop Emanuele Santos Carlos Scheidegger Cl\u00e1udio T. Silva and H. T. Vo. 2011. The Architecture of Open Source Applications - Chapter 23. VisTrails. Computer (2011) 367--386."},{"key":"e_1_3_2_2_21_1","volume-title":"Fairness Testing: Testing Software for Discrimination. CoRR","author":"Galhotra Sainyam","year":"2017","unstructured":"Sainyam Galhotra , Yuriy Brun , and Alexandra Meliou . 2017 . Fairness Testing: Testing Software for Discrimination. CoRR (2017), 1--13. arxiv: 1709.03221 Sainyam Galhotra, Yuriy Brun, and Alexandra Meliou. 2017. Fairness Testing: Testing Software for Discrimination. CoRR (2017), 1--13. arxiv: 1709.03221"},{"key":"e_1_3_2_2_22_1","volume-title":"Molnar","author":"Godefroid Patrice","year":"2008","unstructured":"Patrice Godefroid , Michael Y. Levin , and David A . Molnar . 2008 . Automated whitebox fuzz testing. In Proceedings of NDSS. 151--166. Patrice Godefroid, Michael Y. Levin, and David A. Molnar. 2008. Automated whitebox fuzz testing. In Proceedings of NDSS. 151--166."},{"key":"e_1_3_2_2_23_1","unstructured":"Ian J. Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative Adversarial Networks. 9 pages.arxiv: 1406.2661  Ian J. Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative Adversarial Networks. 9 pages.arxiv: 1406.2661"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3035918.3056448"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3236024.3264586"},{"key":"e_1_3_2_2_26_1","unstructured":"Martin Heusel Hubert Ramsauer Thomas Unterthiner Bernhard Nessler and Sepp Hochreiter. 2017. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium. 38 pages.arxiv: 1706.08500  Martin Heusel Hubert Ramsauer Thomas Unterthiner Bernhard Nessler and Sepp Hochreiter. 2017. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium. 38 pages.arxiv: 1706.08500"},{"key":"e_1_3_2_2_27_1","volume-title":"Proceedings of USENIX Security Symposium. 445--458","author":"Holler Christian","year":"2012","unstructured":"Christian Holler , Kim Herzig , and Andreas Zeller . 2012 . Fuzzing with code fragments . In Proceedings of USENIX Security Symposium. 445--458 . Christian Holler, Kim Herzig, and Andreas Zeller. 2012. Fuzzing with code fragments. In Proceedings of USENIX Security Symposium. 445--458."},{"key":"e_1_3_2_2_28_1","volume-title":"Programing implementation of the Quine-McCluskey method for minimization of Boolean expression. CoRR","author":"Huang Jiangbo","year":"2014","unstructured":"Jiangbo Huang . 2014. Programing implementation of the Quine-McCluskey method for minimization of Boolean expression. CoRR ( 2014 ), 1--22. arxiv: 1410.1059 Jiangbo Huang. 2014. Programing implementation of the Quine-McCluskey method for minimization of Boolean expression. CoRR (2014), 1--22. arxiv: 1410.1059"},{"volume-title":"Proceedings of LION-5. 507--523","author":"Hutter F.","key":"e_1_3_2_2_29_1","unstructured":"F. Hutter , H. H. Hoos , and K. Leyton-Brown . 2011. Sequential Model-Based Optimization for General Algorithm Configuration . In Proceedings of LION-5. 507--523 . F. Hutter, H. H. Hoos, and K. Leyton-Brown. 2011. Sequential Model-Based Optimization for General Algorithm Configuration. In Proceedings of LION-5. 507--523."},{"key":"e_1_3_2_2_30_1","volume-title":"Causal Testing: Finding Defects' Root Causes. CoRR","author":"Johnson Brittany","year":"2018","unstructured":"Brittany Johnson , Yuriy Brun , and Alexandra Meliou . 2018 . Causal Testing: Finding Defects' Root Causes. CoRR (2018), 1--12. arxiv: 1809.06991 Brittany Johnson, Yuriy Brun, and Alexandra Meliou. 2018. Causal Testing: Finding Defects' Root Causes. CoRR (2018), 1--12. arxiv: 1809.06991"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"crossref","unstructured":"Norman P. Jouppi Cliff Young Nishant Patil David Patterson Gaurav Agrawal Raminder Bajwa Sarah Bates Suresh Bhatia Nan Boden Al Borchers Rick Boyle Pierre-luc Cantin Clifford Chao Chris Clark Jeremy Coriell Mike Daley Matt Dau Jeffrey Dean Ben Gelb Tara Vazir Ghaemmaghami Rajendra Gottipati William Gulland Robert Hagmann C. Richard Ho Doug Hogberg John Hu Robert Hundt Dan Hurt Julian Ibarz Aaron Jaffey Alek Jaworski Alexander Kaplan Harshit Khaitan Daniel Killebrew Andy Koch Naveen Kumar Steve Lacy James Laudon James Law Diemthu Le Chris Leary Zhuyuan Liu Kyle Lucke Alan Lundin Gordon MacKean Adriana Maggiore Maire Mahony Kieran Miller Rahul Nagarajan Ravi Narayanaswami Ray Ni Kathy Nix Thomas Norrie Mark Omernick Narayana Penukonda Andy Phelps Jonathan Ross Matt Ross Amir Salek Emad Samadiani Chris Severn Gregory Sizikov Matthew Snelham Jed Souter Dan Steinberg Andy Swing Mercedes Tan Gregory Thorson Bo Tian Horia Toma Erick Tuttle Vijay Vasudevan Richard Walter Walter Wang Eric Wilcox and Doe Hyun Yoon. 2017. In-Datacenter Performance Analysis of a Tensor Processing Unit. SIGARCH Computer Architecture News 2 (June 2017) 1--12.  Norman P. Jouppi Cliff Young Nishant Patil David Patterson Gaurav Agrawal Raminder Bajwa Sarah Bates Suresh Bhatia Nan Boden Al Borchers Rick Boyle Pierre-luc Cantin Clifford Chao Chris Clark Jeremy Coriell Mike Daley Matt Dau Jeffrey Dean Ben Gelb Tara Vazir Ghaemmaghami Rajendra Gottipati William Gulland Robert Hagmann C. Richard Ho Doug Hogberg John Hu Robert Hundt Dan Hurt Julian Ibarz Aaron Jaffey Alek Jaworski Alexander Kaplan Harshit Khaitan Daniel Killebrew Andy Koch Naveen Kumar Steve Lacy James Laudon James Law Diemthu Le Chris Leary Zhuyuan Liu Kyle Lucke Alan Lundin Gordon MacKean Adriana Maggiore Maire Mahony Kieran Miller Rahul Nagarajan Ravi Narayanaswami Ray Ni Kathy Nix Thomas Norrie Mark Omernick Narayana Penukonda Andy Phelps Jonathan Ross Matt Ross Amir Salek Emad Samadiani Chris Severn Gregory Sizikov Matthew Snelham Jed Souter Dan Steinberg Andy Swing Mercedes Tan Gregory Thorson Bo Tian Horia Toma Erick Tuttle Vijay Vasudevan Richard Walter Walter Wang Eric Wilcox and Doe Hyun Yoon. 2017. In-Datacenter Performance Analysis of a Tensor Processing Unit. SIGARCH Computer Architecture News 2 (June 2017) 1--12.","DOI":"10.1145\/3140659.3080246"},{"key":"e_1_3_2_2_32_1","unstructured":"Alex Krizhevsky et al. 2009. Learning multiple layers of features from tiny images. Technical Report. Citeseer.  Alex Krizhevsky et al. 2009. Learning multiple layers of features from tiny images. Technical Report. Citeseer."},{"key":"e_1_3_2_2_33_1","article-title":"SAFFRON: A Fast, Efficient, and Robust Framework for Group Testing based on Sparse-Graph Codes","author":"Lee Kang Wook","year":"2015","unstructured":"Kang Wook Lee , Ramtin Pedarsani , and Kannan Ramchandran . 2015 . SAFFRON: A Fast, Efficient, and Robust Framework for Group Testing based on Sparse-Graph Codes . IEEE Transactions on Signal Processing ( Aug. 2015), 1--10. Kang Wook Lee, Ramtin Pedarsani, and Kannan Ramchandran. 2015. SAFFRON: A Fast, Efficient, and Robust Framework for Group Testing based on Sparse-Graph Codes. IEEE Transactions on Signal Processing (Aug. 2015), 1--10.","journal-title":"IEEE Transactions on Signal Processing"},{"key":"e_1_3_2_2_34_1","unstructured":"David Lewis. 2013. Counterfactuals.  David Lewis. 2013. Counterfactuals."},{"volume-title":"Scalable Statistical Bug Isolation. In In Proceedings of ACM SIGPLAN. 15--26","author":"Liblit Ben","key":"e_1_3_2_2_35_1","unstructured":"Ben Liblit , Mayur Naik , Alice X. Zheng , Alex Aiken , and Michael I. Jordan . 2005 . Scalable Statistical Bug Isolation. In In Proceedings of ACM SIGPLAN. 15--26 . Ben Liblit, Mayur Naik, Alice X. Zheng, Alex Aiken, and Michael I. Jordan. 2005. Scalable Statistical Bug Isolation. In In Proceedings of ACM SIGPLAN. 15--26."},{"key":"e_1_3_2_2_36_1","volume-title":"Proceedings of DEEM. Article 3, 10 pages.","author":"Lourencco Raoni","year":"2019","unstructured":"Raoni Lourencco , Juliana Freire , and Dennis Shasha . 2019 . Debugging Machine Learning Pipelines . In Proceedings of DEEM. Article 3, 10 pages. Raoni Lourencco, Juliana Freire, and Dennis Shasha. 2019. Debugging Machine Learning Pipelines. In Proceedings of DEEM. Article 3, 10 pages."},{"key":"e_1_3_2_2_37_1","unstructured":"Mario Lucic Karol Kurach Marcin Michalski Sylvain Gelly and Olivier Bousquet. 2017. Are GANs Created Equal? A Large-Scale Study. 21 pages.arxiv: 1711.10337  Mario Lucic Karol Kurach Marcin Michalski Sylvain Gelly and Olivier Bousquet. 2017. Are GANs Created Equal? A Large-Scale Study. 21 pages.arxiv: 1711.10337"},{"key":"e_1_3_2_2_38_1","volume-title":"Popyack","author":"Macula Anthony J.","year":"2004","unstructured":"Anthony J. Macula and Leonard J . Popyack . 2004 . A Group Testing Method for Finding Patterns in Data. Discrete Applied Mathematics 1--2 (Nov. 2004), 149--157. Anthony J. Macula and Leonard J. Popyack. 2004. A Group Testing Method for Finding Patterns in Data. Discrete Applied Mathematics 1--2 (Nov. 2004), 149--157."},{"key":"e_1_3_2_2_39_1","first-page":"1715","article-title":"Causality and Explanations in Databases","volume":"13","author":"Meliou Alexandra","year":"2014","unstructured":"Alexandra Meliou , Sudeepa Roy , and Dan Suciu . 2014 . Causality and Explanations in Databases . PVLDB 13 (2014), 1715 -- 1716 . Alexandra Meliou, Sudeepa Roy, and Dan Suciu. 2014. Causality and Explanations in Databases. PVLDB 13 (2014), 1715--1716.","journal-title":"PVLDB"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511803161"},{"key":"e_1_3_2_2_41_1","unstructured":"Alec Radford Luke Metz and Soumith Chintala. 2015. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. 16 pages.arxiv: 1511.06434  Alec Radford Luke Metz and Soumith Chintala. 2015. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. 16 pages.arxiv: 1511.06434"},{"key":"e_1_3_2_2_42_1","volume-title":"Adams","author":"Snoek Jasper","year":"2012","unstructured":"Jasper Snoek , Hugo Larochelle , and Ryan P . Adams . 2012 . Practical Bayesian Optimization of Machine Learning Algorithms. In Proceedings of NIPS. 2951--2959. Jasper Snoek, Hugo Larochelle, and Ryan P. Adams. 2012. Practical Bayesian Optimization of Machine Learning Algorithms. In Proceedings of NIPS. 2951--2959."},{"key":"e_1_3_2_2_43_1","volume-title":"Prabhat Prabhat, and Ryan P. Adams.","author":"Snoek Jasper","year":"2015","unstructured":"Jasper Snoek , Oren Rippel , Kevin Swersky , Ryan Kiros , Nadathur Satish , Narayanan Sundaram , Md. Mostofa Ali Patwary , Prabhat Prabhat, and Ryan P. Adams. 2015 . Scalable Bayesian Optimization Using Deep Neural Networks. In Proceedings of the ICML. 2171--2180. Jasper Snoek, Oren Rippel, Kevin Swersky, Ryan Kiros, Nadathur Satish, Narayanan Sundaram, Md. Mostofa Ali Patwary, Prabhat Prabhat, and Ryan P. Adams. 2015. Scalable Bayesian Optimization Using Deep Neural Networks. In Proceedings of the ICML. 2171--2180."},{"key":"e_1_3_2_2_44_1","unstructured":"TPC. 2019. TPC-C benchmark. http:\/\/www.tpc.org\/tpcc\/. Accessed: 2020-02--10.  TPC. 2019. TPC-C benchmark. http:\/\/www.tpc.org\/tpcc\/. Accessed: 2020-02--10."},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3035918.3064029"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/2723372.2750549"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3035918.3035925"},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/2882903.2915218"},{"key":"e_1_3_2_2_49_1","volume-title":"Self-Attention Generative Adversarial Networks., 10 pages.arxiv","author":"Zhang Han","year":"1805","unstructured":"Han Zhang , Ian Goodfellow , Dimitris Metaxas , and Augustus Odena . 2018. Self-Attention Generative Adversarial Networks., 10 pages.arxiv : 1805 .08318 Han Zhang, Ian Goodfellow, Dimitris Metaxas, and Augustus Odena. 2018. Self-Attention Generative Adversarial Networks., 10 pages.arxiv: 1805.08318"},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"crossref","unstructured":"H. Zhang T. Xu H. Li S. Zhang X. Wang X. Huang and D. Metaxas. 2017. StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks. In Proceeding of ICCV. 5908--5916.  H. Zhang T. Xu H. Li S. Zhang X. Wang X. Huang and D. Metaxas. 2017. StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks. In Proceeding of ICCV. 5908--5916.","DOI":"10.1109\/ICCV.2017.629"},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143983"}],"event":{"name":"SIGMOD\/PODS '20: International Conference on Management of Data","sponsor":["SIGMOD ACM Special Interest Group on Management of Data"],"location":"Portland OR USA","acronym":"SIGMOD\/PODS '20"},"container-title":["Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3318464.3389763","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3318464.3389763","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3318464.3389763","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:38:20Z","timestamp":1750199900000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3318464.3389763"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5,31]]},"references-count":51,"alternative-id":["10.1145\/3318464.3389763","10.1145\/3318464"],"URL":"https:\/\/doi.org\/10.1145\/3318464.3389763","relation":{},"subject":[],"published":{"date-parts":[[2020,5,31]]},"assertion":[{"value":"2020-05-31","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}