Perturbation of Deep Autoencoder Weights for Model Compression and Classification of Tabular Data

17 May 2022

Papers citing "Perturbation of Deep Autoencoder Weights for Model Compression and Classification of Tabular Data"

9 / 9 papers shown

Title
A Survey on Deep Tabular Learning Shriyank Somvanshi Subasish Das Syed Aaqib Javed Gian Antariksa Ahmed Hossain LMTD 34 7 0 15 Oct 2024
Attention versus Contrastive Learning of Tabular Data -- A Data-centric Benchmarking S. B. Rabbani Ivan V. Medri Manar D. Samad 13 8 0 08 Jan 2024
Between-Sample Relationship in Learning Tabular Data Using Graph and Attention Networks S. B. Rabbani Manar D. Samad CML GNN 16 2 0 11 Jun 2023
Deep Clustering of Tabular Data by Weighted Gaussian Distribution Learning S. B. Rabbani Ivan V. Medri Manar D. Samad 23 4 0 02 Jan 2023
Effectiveness of Deep Image Embedding Clustering Methods on Tabular Data Sakib Abrar A. Sekmen Manar D. Samad 33 7 0 28 Dec 2022
Neural Networks Reduction via Lumping Dalila Ressi Riccardo Romanello S. Rossi Carla Piazza 32 4 0 15 Sep 2022
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 147 674 0 24 Jan 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks Hieu H. Pham Quoc V. Le 76 56 0 05 Jan 2021
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data Sergei Popov S. Morozov Artem Babenko LMTD 91 294 0 13 Sep 2019