Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary

16 September 2020

Papers citing "Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary"

11 / 11 papers shown

Title
Guidelines For The Choice Of The Baseline in XAI Attribution Methods Cristian Morasso Giorgio Dolci I. Galazzo Sergey M. Plis Gloria Menegaz 39 0 0 25 Mar 2025
Effective Instruction Parsing Plugin for Complex Logical Query Answering on Knowledge Graphs Xingrui Zhuo Jiapu Wang Gongqing Wu Shirui Pan Xindong Wu 19 0 0 27 Oct 2024
Memory-Optimized Once-For-All Network Maxime Girard Victor Quétu Samuel Tardieu Van-Tam Nguyen Enzo Tartaglione 27 0 0 05 Sep 2024
Unveiling the Hessian's Connection to the Decision Boundary Mahalakshmi Sabanayagam Freya Behrens Urte Adomaityte Anna Dawid 20 5 0 12 Jun 2023
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing Yisong Xiao Aishan Liu Tianlin Li Xianglong Liu 22 26 0 19 May 2023
SkelEx and BoundEx: Natural Visualization of ReLU Neural Networks Pawel Pukowski Haiping Lu 28 0 0 09 May 2023
The Missing Margin: How Sample Corruption Affects Distance to the Boundary in ANNs Marthinus W. Theunissen Coenraad Mouton Marelie Hattingh Davel 11 1 0 14 Feb 2023
The Vanishing Decision Boundary Complexity and the Strong First Component Hengshuai Yao UQCV 30 0 0 25 Nov 2022
Understanding Deep Learning via Decision Boundary Shiye Lei Fengxiang He Yancheng Yuan Dacheng Tao 17 13 0 03 Jun 2022
A Novel Intrinsic Measure of Data Separability Shuyue Guan Murray H. Loew 13 14 0 11 Sep 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 281 2,889 0 15 Sep 2016