Clustering

Fast and Accurate k-means++ via Rejection Sampling NeurIPS 2020 Faster DBSCAN via subsampled similarity queries NeurIPS 2020 Fast Noise Removal for k-Means Clustering AISTATS 2020 Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory EMNLP 2020 Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel AAAI 2020 From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering NeurIPS 2020 FSPool: Learning Set Representations with Featurewise Sort Pooling ICLR 2020 Gaussian Sketching yields a J-L Lemma in RKHS AISTATS 2020 Generating Weighted MAX-2-SAT Instances with Frustrated Loops: an RBM Case Study JMLR 2020 Geometric All-way Boolean Tensor Decomposition NeurIPS 2020 Geomstats: A Python Package for Riemannian Geometry in Machine Learning JMLR 2020 GM-CTSC at SemEval-2020 Task 1: Gaussian Mixtures Cross Temporal Similarity Clustering SemEval 2020 Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning NeurIPS 2020 GraKeL: A Graph Kernel Library in Python JMLR 2020 Graph Coarsening with Preserved Spectral Properties AISTATS 2020 Graph Embedded Pose Clustering for Anomaly Detection CVPR 2020 Gromov-Wasserstein Factorization Models for Graph Clustering AAAI 2020 Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity CoRL 2020 Hermitian matrices for clustering directed graphs: insights and applications AISTATS 2020 Hierarchical Clustering: A 0.585 Revenue Approximation COLT 2020 Hierarchical Clustering With Hard-Batch Triplet Loss for Person Re-Identification CVPR 2020 Hierarchically Clustered Representation Learning AAAI 2020 Hierarchical Text Segmentation for Medieval Manuscripts COLING 2020 High-Dimensional Inference for Cluster-Based Graphical Models JMLR 2020 Higher-Order Spectral Clustering of Directed Graphs NeurIPS 2020