#Paper Reading# TabNet: Attentive Interpretable Tabular Learning

时间 2021-01-12

标签 paper reading DNN 繁體版

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论文题目: TabNet: Attentive Interpretable Tabular Learning 论文地址: https://arxiv.org/abs/1908.07442 论文发表于: arXiv 2019 论文大体内容：本文主要提出了TabNet模型，能够高效地在tabular数据上完成分类/回归的任务，且具可解释性。本文提出的模型是用DNN的方式获得树模型的可解释性，且超越树

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1. #Paper Reading# Abstractive Sentence Summarization with Attentive Recurrent Neural Networks
2. Paper-Reading
3. Reading Note: Interpretable Convolutional Neural Networks
4. [paper reading] ResNet
5. 【Paper Reading】2013CLAS Protacol Paper
6. Paper Reading -- 《Learning to Pay Attention on Spectral Domain：......》
7. Paper reading: Playing Atari with Deep Reinforcement Learning
8. #Paper Reading# Wide & Deep Learning for Recommender Systems
9. #Paper reading#DeepInf: Social Influence Prediction with Deep Learning
10. 【Paper Reading】AdderNet: DoWe Really Need Multiplications in Deep Learning?

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