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Clustering

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Papers

Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data IJCAI 2023
Realistic Cell Type Annotation and Discovery for Single-cell RNA-seq Data IJCAI 2023
Fast and Differentially Private Fair Clustering IJCAI 2023
Learning and Reasoning Multifaceted and Longitudinal Data for Poverty Estimates and Livelihood Capabilities of Lagged Regions in Rural India IJCAI 2023
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract) IJCAI 2023
Unsupervised Deep Subgraph Anomaly Detection (Extended Abstract) IJCAI 2023
Understanding the Night-Sky? Developing AI-Enabled System for Exploring Night-Light Usage Patterns IJCAI 2023
AutoML for Outlier Detection with Optimal Transport Distances IJCAI 2023
Laughter Synthesis using Pseudo Phonetic Tokens with a Large-scale In-the-wild Laughter Corpus INTERSPEECH 2023
Unsupervised Dialogue Topic Segmentation in Hyperdimensional Space INTERSPEECH 2023
Enhancing New Intent Discovery via Robust Neighbor-based Contrastive Learning INTERSPEECH 2023
Pushing the Limits of Unsupervised Unit Discovery for SSL Speech Representation INTERSPEECH 2023
Query Based Acoustic Summarization for Podcasts INTERSPEECH 2023
pyannote.audio 2.1 speaker diarization pipeline: principle, benchmark, and recipe INTERSPEECH 2023
Combining Multiple Multimodal Speech Features into an Interpretable Index Score for Capturing Disease Progression in Amyotrophic Lateral Sclerosis INTERSPEECH 2023
Voice Twins: Discovering Extremely Similar-sounding, Unrelated Speakers INTERSPEECH 2023
Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization INTERSPEECH 2023
CauSE: Causal Search Engine for Understanding Contact-Center Conversations INTERSPEECH 2023
Approximation Bounds for Hierarchical Clustering: Average Linkage, Bisecting K-means, and Local Search JMLR 2023
Sampling random graph homomorphisms and applications to network data analysis JMLR 2023
Regularized Joint Mixture Models JMLR 2023
A Group-Theoretic Approach to Computational Abstraction: Symmetry-Driven Hierarchical Clustering JMLR 2023
Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data JMLR 2023
The Hyperspherical Geometry of Community Detection: Modularity as a Distance JMLR 2023
Graph Clustering with Graph Neural Networks JMLR 2023