Gradient Boosting Neural Networks: GrowNet

Gradient Boosting Neural Networks: GrowNet

19 February 2020

Sarkhan Badirli

Avradeep Bhowmik

Papers citing "Gradient Boosting Neural Networks: GrowNet"

17 / 17 papers shown

Title
Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification Ruxue Shi Hengrui Gu Xu Shen Xin Wang LMTD 178 0 0 09 May 2025
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Si-Yang Liu Han-Jia Ye 68 6 0 04 Feb 2025
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling Yury Gorishniy Akim Kotelnikov Artem Babenko LMTD MoE 94 6 0 31 Oct 2024
TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering A. Habib Kesheng Wang Mary-Anne Hartley Gianfranco Doretto Donald Adjeroh LMTD 35 1 0 17 Oct 2024
Forecasting with Hyper-Trees Alexander März Kashif Rasul 44 0 0 13 May 2024
Multimodal Clinical Trial Outcome Prediction with Large Language Models Wenhao Zheng Dongsheng Peng Hongxia Xu Yun-Qing Li Hongtu Zhu Tianfan Fu Huaxiu Yao Huaxiu Yao 50 5 0 09 Feb 2024
A Gradient Boosting Approach for Training Convolutional and Deep Neural Networks S. Emami Gonzalo Martínez-Munoz 15 6 0 22 Feb 2023
Boosted Dynamic Neural Networks Haichao Yu Haoxiang Li G. Hua Gao Huang Humphrey Shi 35 7 0 30 Nov 2022
Precision Machine Learning Eric J. Michaud Ziming Liu Max Tegmark 24 34 0 24 Oct 2022
Towards Domain-Independent Supervised Discourse Parsing Through Gradient Boosting Patrick Huber Giuseppe Carenini 23 0 0 18 Oct 2022
Revisiting Pretraining Objectives for Tabular Deep Learning Ivan Rubachev Artem Alekberov Yu. V. Gorishniy Artem Babenko LMTD 21 41 0 07 Jul 2022
Transfer Learning with Deep Tabular Models Roman Levin Valeriia Cherepanova Avi Schwarzschild Arpit Bansal C. Bayan Bruss Tom Goldstein A. Wilson Micah Goldblum OOD FedML LMTD 75 58 0 30 Jun 2022
Transfer learning for ensembles: reducing computation time and keeping the diversity Ilya Shashkov Nikita Balabin Evgeny Burnaev Alexey Zaytsev 22 1 0 27 Jun 2022
On Embeddings for Numerical Features in Tabular Deep Learning Yura Gorishniy Ivan Rubachev Artem Babenko LMTD 13 156 0 10 Mar 2022
Revisiting Deep Learning Models for Tabular Data Yu. V. Gorishniy Ivan Rubachev Valentin Khrulkov Artem Babenko LMTD 48 699 0 22 Jun 2021
A Generalized Stacking for Implementing Ensembles of Gradient Boosting Machines A. Konstantinov Lev V. Utkin 32 5 0 12 Oct 2020
Time-based Sequence Model for Personalization and Recommendation Systems T. Ishkhanov Maxim Naumov Xianjie Chen Yan Zhu Yuan Zhong A. Azzolini Chonglin Sun Frank Jiang Andrey Malevich Liang Xiong 30 16 0 27 Aug 2020