Paper Review

[VLDB 2021] TURL: Table Understanding through Representation Learning

[OpenAI 2021] Learning Transferable Visual Models From Natural Language Supervision (CLIP)

[NeurIPS 2021] VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text

[Paper Survey] Machine Learning for Data Presentation

[VIS 2021] Natural Language to Visualization by Neural Machine Translation

[VIS 2019] Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements

[VIS 2018] Data2Vis: Automatic Generation of Data Visualizations Using Sequence to Sequence Recurrent Neural Networks

[AAAI 2019] Data-to-Text Generation with Content Selection and Planning

[INLG 2020] Chart-to-Text: Generating Natural Language Descriptions for Charts by Adapting the Transformer Model

[CHI 2018] Beagle: Automated Extraction and Interpretation of Visualizations from Web

[KDD 2021] Learning to Recommend Visualization Data

[KDD 2021] Table2Charts: Recommending Charts by Learning Shared Table Representations

[AAAI 2019] Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data

[CHI 2019] VizML: A Machine Learning Approach to Visualization Recommendation