Clustering

SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering AAAI 2024 Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains NeurIPS 2024 Tensorized Label Learning on Anchor Graph AAAI 2024 Text-Guided Alternative Image Clustering ACL 2024 Text-Guided Image Clustering EACL 2024 TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering NeurIPS 2024 The Fairness-Quality Tradeoff in Clustering NeurIPS 2024 The Grid: A semi-automated tool to support expert-driven modeling EMNLP 2024 The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks NeurIPS 2024 The MEET Corpus: Collocated, Distant and Hybrid Three-party Meetings with a Ranking Task COLING 2024 The PGNSC Benchmark: How Do We Predict Where Information Spreads? ACL 2024 Think Global, Adapt Local: Learning Locally Adaptive K-Nearest Neighbor Kernel Density Estimators AISTATS 2024 TOPICAL: TOPIC Pages AutomagicaLly NAACL 2024 TopicGPT: A Prompt-based Topic Modeling Framework NAACL 2024 Topic Modeling: Contextual Token Embeddings Are All You Need EMNLP 2024 Topic Modeling for Short Texts with Large Language Models ACL 2024 Topic Taxonomy Construction from ESG Reports COLING 2024 Toward Global Convergence of Gradient EM for Over-Paramterized Gaussian Mixture Models NeurIPS 2024 Towards a Theoretical Understanding of Why Local Search Works for Clustering with Fair-Center Representation AAAI 2024 Towards Fairer Centroids in K-means Clustering AAAI 2024 Towards Real-world Scenario: Imbalanced New Intent Discovery ACL 2024 Towards the TopMost: A Topic Modeling System Toolkit ACL 2024 To Word Senses and Beyond: Inducing Concepts with Contextualized Language Models EMNLP 2024 Tree-Averaging Algorithms for Ensemble-Based Unsupervised Discontinuous Constituency Parsing ACL 2024 Unified View Imputation and Feature Selection Learning for Incomplete Multi-view Data IJCAI 2024