51 skills found · Page 1 of 2
jmschrei / Apricotapricot 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
decile-team / SubmodlibSummarize Massive Datasets using Submodular Optimization
RuoyuChen10 / SMDL Attribution[ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection
jina-ai / Submodular OptimizationSubmodular optimization for context engineering: query fan-out, text selection, passage reranking
malllabiisc / DiPSNAACL 2019: Submodular optimization-based diverse paraphrasing and its effectiveness in data augmentation
josipd / Torch SubmodA PyTorch library for differentiable submodular minimization.
gyglim / Gm SubmodularNo description available
melodi-lab / DivflDiverse Client Selection for Federated Learning via Submodular Maximization
bairuofei / CGE[IROS 2024]: Multi-robot active graph exploration with reduced pose-SLAM uncertainty via submodular optimization.
catlab-team / FantasticstylesRepository for Fantastic Style Channels and Where to Find Them: A Submodular Framework for Discovering Diverse Directions in GANs
PetterS / SubmodularLibrary for minimizing Pseudo-Boolean functions
clu8 / CombinatorialAuctionsImplementation and evaluation of combinatorial auction protocols: VCG and Groves mechanism with submodular approximation (GM-SMA)
eelenberg / StreakInterpreting neural networks via the STREAK algorithm (streaming weak submodular maximization)
joschout / SubmodularMaximizationA collection of optimization algorithms for maximizing unconstrained submodular set functions.
VamshiTeja / SMDL(IJCAI 2019) Submodular Batch Selection for Training Deep Neural Networks
Tixierae / EMNLP2017 NewSumCode for the paper: Combining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization
val-iisc / S3vaadaSubmodular Subset Selection for Active Domain Adaptation (ICCV 2021)
sbuschjaeger / SubmodularStreamingMaximizationA C++ package for streaming submodular function maximization with Python bindings
letterx / SospdSum-of-Submodular primal dual algorithm for higher-order Markov Random Fields
bianan / Non Submodular MaxSource code for the paper "Guarantees for Greedy Maximization of Non-submodular Functions with Applications" in ICML 2017
