Stable and Interpretable Deep Learning for Tabular Data: Introducing InterpreTabNet with the Novel InterpreStability Metric

4 October 2023

Papers citing "Stable and Interpretable Deep Learning for Tabular Data: Introducing InterpreTabNet with the Novel InterpreStability Metric"

12 / 12 papers shown

Title
LADDER: Latent Boundary-guided Adversarial Training Xiaowei Zhou Ivor W. Tsang Jie Yin AAML 47 7 0 08 Jun 2022
Lead-lag detection and network clustering for multivariate time series with an application to the US equity market Stefanos Bennett Mihai Cucuringu Gesine Reinert AI4TS 160 26 0 20 Jan 2022
TabNet: Attentive Interpretable Tabular Learning Sercan O. Arik Tomas Pfister LMTD 206 1,361 0 20 Aug 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI Erico Tjoa Cuntai Guan XAI 117 1,452 0 17 Jul 2019
Sparse Sequence-to-Sequence Models Ben Peters Vlad Niculae André F. T. Martins TPM 187 214 0 14 May 2019
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network A. Sherstinsky 95 3,749 0 09 Aug 2018
A review of possible effects of cognitive biases on the interpretation of rule-based machine learning models Tomáš Kliegr Š. Bahník Johannes Furnkranz 44 102 0 09 Apr 2018
An Equivalence of Fully Connected Layer and Convolutional Layer Wei-Ying Ma Jun Lu 37 65 0 04 Dec 2017
Train longer, generalize better: closing the generalization gap in large batch training of neural networks Elad Hoffer Itay Hubara Daniel Soudry ODL 185 800 0 24 May 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 363 5,388 0 03 Nov 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 307 5,536 0 23 Nov 2015
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 388 25,691 0 09 Jun 2011