Exploiting Field Dependencies for Learning on Categorical Data

Exploiting Field Dependencies for Learning on Categorical Data

18 July 2023

Peyman Moghadam

Papers citing "Exploiting Field Dependencies for Learning on Categorical Data"

18 / 18 papers shown

Title
Learning Partial Correlation based Deep Visual Representation for Image Classification Saimunur Rahman Piotr Koniusz Lei Wang Luping Zhou Peyman Moghadam Changming Sun SSL 72 9 0 23 Apr 2023
Revisiting Deep Learning Models for Tabular Data Yu. V. Gorishniy Ivan Rubachev Valentin Khrulkov Artem Babenko LMTD 94 720 0 22 Jun 2021
Tabular Data: Deep Learning is Not All You Need Ravid Shwartz-Ziv Amitai Armon LMTD 133 1,256 0 06 Jun 2021
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training Gowthami Somepalli Micah Goldblum Avi Schwarzschild C. Bayan Bruss Tom Goldstein LMTD 82 324 0 02 Jun 2021
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar Karnin ViT LMTD 195 447 0 11 Dec 2020
Field-wise Learning for Multi-field Categorical Data Zhibin Li Jian Zhang Yongshun Gong Yazhou Yao Qiang Wu CML OOD 21 9 0 01 Dec 2020
DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data Zhaocheng Liu Qiang Liu Haoli Zhang Yuntian Chen 29 12 0 22 Aug 2020
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data Sergei Popov S. Morozov Artem Babenko LMTD 132 310 0 13 Sep 2019
Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions Weiyu Cheng Yanyan Shen Linpeng Huang 32 167 0 07 Sep 2019
TabNet: Attentive Interpretable Tabular Learning Sercan O. Arik Tomas Pfister LMTD 143 1,343 0 20 Aug 2019
Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising Junwei Pan Jian Xu A. L. Ruiz Wenliang Zhao Shengjun Pan Yu Sun Quan Lu 61 200 0 09 Jun 2018
Meta-Learning Update Rules for Unsupervised Representation Learning Luke Metz Niru Maheswaranathan Brian Cheung Jascha Narain Sohl-Dickstein SSL OOD 66 123 0 31 Mar 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 248 4,042 0 16 Nov 2017
One-Shot Learning for Semantic Segmentation Amirreza Shaban Shray Bansal Ziqiang Liu Irfan Essa Byron Boots SSeg VLM 83 703 0 11 Sep 2017
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks Jun Xiao Hao Ye Xiangnan He Hanwang Zhang Leilei Gan Tat-Seng Chua 75 918 0 15 Aug 2017
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li Xiuqiang He 104 2,640 0 13 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 803 11,866 0 09 Mar 2017
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 396 18,334 0 27 May 2016

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