Tabular Data2 [AAAI-2019] TabNet : Attentive Interpetable Tabular Learning 논문 전문 : https://arxiv.org/abs/1908.07442 [출처] https://doi.org/10.1609/aaai.v35i8.16826 ※ The picture and content of this article are from the original paper. This article is more of an intuitive understanding than academic analysis. [논문 요약] TabNet : Attentive Interpretable Tabular Learning Tabular Data를 다루는 분들에게는 꽤나 유명한(Citation 800이상) 구글에서 나온 TabNet 논문입니다. 당시에는 Tab Data 기준으로는 SOTA 성능이였습니다만, Tab.. 2024. 1. 18. [ICML-2021] Tabular Data:Deep Learning is Not All You Need 논문 전문 : https://arxiv.org/abs/2106.03253 [출처] Ravid Shwartz-Ziv, Amitai Armon,Tabular data: Deep learning is not all you need,Information Fusion,Volume 81,2022,Pages 84-90,ISSN 1566-2535,https://doi.org/10.1016/j.inffus.2021.11.011. ※ The picture and content of this article are from the original paper. This article is more of an intuitive understanding than academic analysis. [논문 요약] Tabular Dat.. 2024. 1. 11. 이전 1 다음
