Clustering
Coresets for Clustering with Fairness Constraints
Lingxiao Huang, Shaofeng Jiang, Nisheeth Vishnoi
Neural Information Processing Systems http://nips.cc/
AiluRus: A Scalable ViT Framework for Dense Prediction
As a result, our method significantly accelerates ViTs for dense prediction tasks.
The Cluster Description Problem - Complexity Results, Formulations and Approximations
Ian Davidson, Antoine Gourru, S Ravi
Neural Information Processing Systems http://nips.cc/
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective
Self-supervised heterogeneous graph learning (SHGL) has shown promising potential in diverse scenarios.
Scalable Laplacian K-modes
Imtiaz Ziko, Eric Granger, Ismail Ben Ayed
Furthermore, we show that the density modes can be obtained as byproducts of the assignment variables via simple maximum-value operations whose additional computational cost is linear in the number of data points.
Greedy Sampling for Approximate Clustering in the Presence of Outliers
Aditya Bhaskara, Sharvaree Vadgama, Hong Xu
Neural Information Processing Systems http://nips.cc/
Interactive Deep Clustering via Value Mining
In the absence of class priors, recent deep clustering methods resort to data augmentation and pseudo-labeling strategies to generate supervision signals.
k-Means Clustering of Lines for Big Data
Neural Information Processing Systems http://nips.cc/