[AAAI 2023] Implementation of Submodular-Maximization-under-the-Intersection-of-Matroid-and-Knapsack-Constraints
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Updated
Apr 6, 2024 - Julia
[AAAI 2023] Implementation of Submodular-Maximization-under-the-Intersection-of-Matroid-and-Knapsack-Constraints
NAACL 2019: Submodular optimization-based diverse paraphrasing and its effectiveness in data augmentation
Summarize Massive Datasets using Submodular Optimization
Randomized Greedy Learning Under Full-bandit Feedback
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.readthedocs.io/en/latest/index.html
A fast, templated C++ header library for submodular optimization (subset selection) problems.
Efficient greedy-based methods for constrained submodular optimization.
Submodular Subset Selection for Long-Document Question Answering
(IJCAI 2019) Submodular Batch Selection for Training Deep Neural Networks
Implementation of Serial and Parallel Local Lazy Greedy for submodular b-matching
Probabilistic Gas Leak Rate Estimation using Submodular Function Maximization with Routing Constraints
delta-submodular work codes
A collection of optimization algorithms for maximizing unconstrained submodular set functions.
Python implementation of Scalable Combinatorial Bayesian Optimization with Tractable Statistical Models
Проект по методам оптимизации, 3 курс, ФУПМ МФТИ
Code for the paper: Combining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization
Routines for submodular set function minimization
A GPU accelerated Submodular Optimization toolkit.
visual-inertial odometry (VINS-Mono) with motion-aware feature selection
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