Talks # 4: Speaker: Sebastien Fischman () Title : Pytorch-tabnet : Beating XGBoost on tabular data with deep learning? Abstract: #DeepLearning has set up new benchmarks for Computer Vision, NLP, Speech, Reinforcement Learning in the past few years. However tabular data competitions are still dominated by gradient boosted trees (GBTs) libraries like XGBoost, LightGBM and Catboost. Tabnet is a new promising deep learning architecture based on sequential attenti
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