Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification Error

28 February 2023

Papers citing "Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification Error"

10 / 10 papers shown

Title
Active Learning with Combinatorial Coverage Sai Prathyush Katragadda Tyler Cody Peter A. Beling Laura J. Freeman 33 6 0 28 Feb 2023
Systematic Training and Testing for Machine Learning Using Combinatorial Interaction Testing Tyler Cody Erin Lanus Daniel D. Doyle Laura J. Freeman 21 24 0 28 Jan 2022
FreaAI: Automated extraction of data slices to test machine learning models Samuel Ackerman Orna Raz Marcel Zalmanovici 26 15 0 12 Aug 2021
A Metric Learning Reality Check Kevin Musgrave Serge J. Belongie Ser-Nam Lim 120 475 0 18 Mar 2020
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning Karsten Roth Timo Milbich Samarth Sinha Prateek Gupta Bjorn Ommer Joseph Paul Cohen 45 170 0 19 Feb 2020
metric-learn: Metric Learning Algorithms in Python William de Vazelhes CJ Carey Yuan Tang Nathalie Vauquier A. Bellet DML 89 53 0 13 Aug 2019
Simulation-based Adversarial Test Generation for Autonomous Vehicles with Machine Learning Components Cumhur Erkan Tuncali Georgios Fainekos Hisahiro Ito J. Kapinski 43 182 0 18 Apr 2018
DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems Lei Ma Felix Juefei Xu Fuyuan Zhang Jiyuan Sun Minhui Xue ... Ting Su Li Li Yang Liu Jianjun Zhao Yadong Wang ELM 62 620 0 20 Mar 2018
DeepXplore: Automated Whitebox Testing of Deep Learning Systems Kexin Pei Yinzhi Cao Junfeng Yang Suman Jana AAML 72 1,357 0 18 May 2017
A survey of cross-validation procedures for model selection Sylvain Arlot Alain Celisse 140 3,583 0 27 Jul 2009