submodular-optimization topic
apricot
apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readth...
DiPS
NAACL 2019: Submodular optimization-based diverse paraphrasing and its effectiveness in data augmentation
SMDL
(IJCAI 2019) Submodular Batch Selection for Training Deep Neural Networks
EMNLP2017_NewSum
Code for the paper: Combining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization
submodlib
Summarize Massive Datasets using Submodular Optimization
Anticipated-VINS-Mono
visual-inertial odometry (VINS-Mono) with motion-aware feature selection
SubmodularMaximization
A collection of optimization algorithms for maximizing unconstrained submodular set functions.