Geometrical Homogeneous Clustering for Image Data Reduction. An algorithm to reduce large image datasets maintaining similar accuracy.
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Updated
Jul 8, 2021 - Python
Geometrical Homogeneous Clustering for Image Data Reduction. An algorithm to reduce large image datasets maintaining similar accuracy.
MECO: Multi-objective Evolutionary Compression
BICO is a fast streaming algorithm to compute coresets for the k-means problem on very large sets of points.
Implementation of three variants of the Frank-Wolfe method for solving the Minimum Enclosing Ball problem, and application to anomaly detection.
[ECCV 2022] The official repository of ''$\ell_\infty$-Robustness and Beyond: Unleashing Efficient Adversarial Training''.
Speeding up clustering algorithms using Sampling techniques (Lightweight Coresets)
This is the accompanying code repository for the AISTATS 2022 publication p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets by Alexander Munteanu, Simon Omlor and Christian Peters.
Bayesian Coresets Construction with Accelerated Iterative Hard Thresholding (A-IHT).
Coresets via Bilevel Optimization
A research library for pytorch-based neural network pruning, compression, and more.
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