Challenging Gradient Boosted Decision Trees with Tabular Transformers for Fraud Detection at Booking.com

22 May 2024

Papers citing "Challenging Gradient Boosted Decision Trees with Tabular Transformers for Fraud Detection at Booking.com"

8 / 8 papers shown

Title
Revisiting Pretraining Objectives for Tabular Deep Learning Ivan Rubachev Artem Alekberov Yu. V. Gorishniy Artem Babenko LMTD 25 43 0 07 Jul 2022
Machine Learning for Fraud Detection in E-Commerce: A Research Agenda Niek Tax Kees Jan de Vries Mathijs de Jong Nikoleta Dosoula Bram van den Akker Jon Smith Olivier Thuong Lucas Bernardi 11 19 0 05 Jul 2021
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption Dara Bahri Heinrich Jiang Yi Tay Donald Metzler SSL 33 166 0 29 Jun 2021
Revisiting Deep Learning Models for Tabular Data Yu. V. Gorishniy Ivan Rubachev Valentin Khrulkov Artem Babenko LMTD 68 720 0 22 Jun 2021
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar Karnin ViT LMTD 176 432 0 11 Dec 2020
On Layer Normalization in the Transformer Architecture Ruibin Xiong Yunchang Yang Di He Kai Zheng Shuxin Zheng Chen Xing Huishuai Zhang Yanyan Lan Liwei Wang Tie-Yan Liu AI4CE 74 973 0 12 Feb 2020
Training Tips for the Transformer Model Martin Popel Ondrej Bojar 36 311 0 01 Apr 2018
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 218 13,079 0 12 Mar 2015