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Spreadsheets are widely used for table manipulation and presentation.
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Learning to Learn Programs from Examples: Going Beyond Program Structure. In IJCAI 2017 (ijcai 2017 ed.)
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Component-Based Synthesis of Table Consolidation and Transformation Tasks from Examples. In Proceedings of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation (Barcelona, Spain) (PLDI 2017) . Association for Computing Machinery, New York, NY, USA, 422–436
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Structure interpretation of text formats. In Object-Oriented Programming, Systems, Languages & Applications (OOPSLA) . ACM
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Saswat Padhi, Prateek Jain, Daniel Perelman, Oleksandr Polozov, Sumit Gulwani, and Todd D. Millstein. 2017 · 2017
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Automated Data Extraction using Predictive Program Synthesis. In AAAI 2017 (aaai 2017 ed.). Association for the Advancement of Artificial Intelligence
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Attention is all you need
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Synthesizing Highly Expressive SQL Queries from Input-Output Examples. In Proceedings of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation (Barcelona, Spain) (PLDI 2017) . Association for Computing Machinery, New York, NY, USA, 452–466
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Stacked Cross Attention for Image-Text Matching. In Computer Vision – ECCV 2018 , Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, and Yair Weiss (Eds.). Springer International Publishing, Cham, 212–228
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019, Volume 1 (Long and Short Papers) , Jill Burstein, Christy Doran, and Thamar Solorio (Eds.). Association for Computational Linguistics, 4171–4186
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Learning Natural Programs from a Few Examples in Real-Time. In AIStats
Nagarajan Natarajan, Danny Simmons, Naren Datha, Prateek Jain, and Sumit Gulwani. 2019 · 2019
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Tianyi Zhang, London Lowmanstone, Xinyu Wang, and Elena L. Glassman. 2020 · 2020
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SpreadsheetCoder: Formula Prediction from Semi-structured Context. In ICML
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CoCo: Interactive Exploration of Conformance Constraints for Data Understanding and Data Cleaning. In Proceedings of the 2021 International Conference on Management of Data (Virtual Event, China) (SIGMOD ’21) . Association for Computing Machinery, New York, NY, USA, 2706–2710
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BUSTLE: Bottom-up program-Synthesis Through Learning-guided Exploration
Augustus Odena, Kensen Shi, David Bieber, Rishabh Singh, and Charles Sutton. 2021 · 2021
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A Hybrid Probabilistic Approach for Table Understanding
Kexuan Sun, Harsha Rayudu, and Jay Pujara. 2021 · 2021
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TUTA: Tree-Based Transformers for Generally Structured Table Pre-Training. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (Virtual Event, Singapore) (KDD ’21) . Association for Computing Machinery, New York, NY, USA, 1780–1790
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Number of Google Sheets and Excel Users Worldwide
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Synchromesh: Reliable code generation from pre-trained language models
Gabriel Poesia, Oleksandr Polozov, Vu Le, Ashish Tiwari, Gustavo Soares, Christopher Meek, and Sumit Gulwani. 2022 · 2022
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