Clustering

Spectral Clustering with Graph Neural Networks for Graph Pooling ICML 2020 Spectral Embedding of Regularized Block Models ICLR 2020 SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces SemEval 2020 Statistical guarantees for local graph clustering AISTATS 2020 Stochastic Sparse Subspace Clustering CVPR 2020 Stochastic Variational Inference for Dynamic Correlated Topic Models UAI 2020 Streaming Coresets for Symmetric Tensor Factorization ICML 2020 Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering NeurIPS 2020 Structure Learning for Approximate Solution of Many-Player Games AAAI 2020 Suspicion-Free Adversarial Attacks on Clustering Algorithms AAAI 2020 Swarm Intelligence for Self-Organized Clustering (Extended Abstract) IJCAI 2020 Temporal Phenotyping using Deep Predictive Clustering of Disease Progression ICML 2020 Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering AAAI 2020 Text-Based Ideal Points ACL 2020 The Local Elasticity of Neural Networks ICLR 2020 The Paradigm Discovery Problem ACL 2020 The Sparse MinMax k-Means Algorithm for High-Dimensional Clustering IJCAI 2020 Time Series Analysis using a Kernel based Multi-Modal Uncertainty Decomposition Framework UAI 2020 Timeseries Anomaly Detection using Temporal Hierarchical One-Class Network NeurIPS 2020 Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too! EMNLP 2020 TOMODAPI: A Topic Modeling API to Train, Use and Compare Topic Models EMNLP 2020 Topic and Emotion Development among Dutch COVID-19 Twitter Communities in the early Pandemic COLING 2020 Topic Balancing with Additive Regularization of Topic Models ACL 2020 Topic Modeling via Full Dependence Mixtures ICML 2020 Tracklet Self-Supervised Learning for Unsupervised Person Re-Identification AAAI 2020