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SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data.

, , , , , , and . CVPR Workshops, page 2973-2981. Computer Vision Foundation / IEEE, (2019)

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System Demo for Transfer Learning across Vision and Text using Domain Specific CNN Accelerator for On-Device NLP Applications., , , , , , and . CoRR, (2019)SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data., , , , , , and . CVPR Workshops, page 2973-2981. Computer Vision Foundation / IEEE, (2019)SuperCaptioning: Image Captioning Using Two-dimensional Word Embedding., , , , , , and . BigMine@KDD, volume 2579 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Demonstration of Applications in Computer Vision and NLP on Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt., , , , , , and . ICME Workshops, page 611. IEEE, (2019)Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning, , , , , , , , , and 29 other author(s). Cell, 172 (5): 1122--1131.e9 (February 2018)SuperTML: Two-Dimensional Word Embedding and Transfer Learning Using ImageNet Pretrained CNN Models for the Classifications on Tabular Data., , , , , , and . CoRR, (2019)SuperChat: Dialogue Generation by Transfer Learning from Vision to Language using Two-dimensional Word Embedding and Pretrained ImageNet CNN Models., , , , , , and . CoRR, (2019)