{"total":49,"rows":[{"id":"2306.04217","title":"Effective Neural Topic Modeling with Embedding Clustering Regularization","created":"2023-06-07","cited_by_count":46,"area":null},{"id":"2205.11506","title":"Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering","created":"2022-05-23","cited_by_count":45,"area":null},{"id":"2405.17978","title":"FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model","created":"2024-05-28","cited_by_count":35,"area":null},{"id":"2104.03531","title":"Pseudo-supervised Deep Subspace Clustering","created":"2021-04-08","cited_by_count":29,"area":null},{"id":"2401.13544","title":"Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?","created":"2024-01-24","cited_by_count":28,"area":null},{"id":"2110.03006","title":"Unsupervised Selective Labeling for More Effective Semi-Supervised Learning","created":"2021-10-06","cited_by_count":27,"area":null},{"id":"2105.13331","title":"Quantization and Deployment of Deep Neural Networks on Microcontrollers","created":"2021-05-27","cited_by_count":21,"area":null},{"id":"2106.09874","title":"Towards Clustering-friendly Representations: Subspace Clustering via Graph Filtering","created":"2021-06-18","cited_by_count":14,"area":null},{"id":"2109.15149","title":"Deep Embedded K-Means Clustering","created":"2021-09-30","cited_by_count":12,"area":null},{"id":"2301.00802","title":"Deep Clustering of Tabular Data by Weighted Gaussian Distribution Learning","created":"2023-01-02","cited_by_count":12,"area":null},{"id":"2308.09307","title":"Rethinking Image Forgery Detection via Soft Contrastive Learning and Unsupervised Clustering","created":"2023-08-18","cited_by_count":12,"area":null},{"id":"2109.13742","title":"Adaptive Attribute and Structure Subspace Clustering Network","created":"2021-09-28","cited_by_count":9,"area":null},{"id":"2401.07389","title":"A Rapid Review of Clustering Algorithms","created":"2024-01-14","cited_by_count":9,"area":null},{"id":"2212.14111","title":"Effectiveness of Deep Image Embedding Clustering Methods on Tabular Data","created":"2022-12-28","cited_by_count":7,"area":null},{"id":"2206.08460","title":"TUSK: Task-Agnostic Unsupervised Keypoints","created":"2022-06-16","cited_by_count":5,"area":null},{"id":"2205.08671","title":"K-textures, a self-supervised hard clustering deep learning algorithm for satellite image segmentation","created":"2022-05-18","cited_by_count":4,"area":null},{"id":"2305.03414","title":"Adaptive Graph Convolutional Subspace Clustering","created":"2023-05-05","cited_by_count":4,"area":null},{"id":"2410.09491","title":"Dying Clusters Is All You Need -- Deep Clustering With an Unknown Number of Clusters","created":"2024-10-12","cited_by_count":4,"area":null},{"id":"2302.01278","title":"Convolutional Autoencoders, Clustering and POD for Low-dimensional Parametrization of Navier-Stokes Equations","created":"2023-02-02","cited_by_count":3,"area":null},{"id":"2308.11369","title":"Enhancing Interpretable Object Abstraction via Clustering-based Slot Initialization","created":"2023-08-22","cited_by_count":3,"area":null},{"id":"2405.03590","title":"Deep Clustering with Self-Supervision using Pairwise Similarities","created":"2024-05-06","cited_by_count":3,"area":null},{"id":"2401.10620","title":"Polytopic Autoencoders with Smooth Clustering for Reduced-order Modelling of Flows","created":"2024-01-19","cited_by_count":2,"area":null},{"id":"2602.13583","title":"Differentiable Rule Induction from Raw Sequence Inputs","created":"2026-02-14","cited_by_count":2,"area":null},{"id":"2604.07085","title":"Mining Electronic Health Records to Investigate Effectiveness of Ensemble Deep Clustering","created":"2026-04-08","cited_by_count":2,"area":null},{"id":"2201.04727","title":"Deep clustering with fusion autoencoder","created":"2022-01-11","cited_by_count":1,"area":null},{"id":"2202.13363","title":"Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation","created":"2022-02-27","cited_by_count":1,"area":null},{"id":"2209.12279","title":"VAESim: A probabilistic approach for self-supervised prototype discovery","created":"2022-09-25","cited_by_count":1,"area":null},{"id":"2305.01539","title":"Jacobian-Scaled K-means Clustering for Physics-Informed Segmentation of Reacting Flows","created":"2023-05-02","cited_by_count":1,"area":null},{"id":"2312.15577","title":"Deep Structure and Attention Aware Subspace Clustering","created":"2023-12-25","cited_by_count":1,"area":null},{"id":"2604.01740","title":"DDCL: Deep Dual Competitive Learning: A Differentiable End-to-End Framework for Unsupervised Prototype-Based Representation Learning","created":"2026-04-02","cited_by_count":1,"area":null},{"id":"2103.14869","title":"Instance segmentation with the number of clusters incorporated in embedding learning","created":"2021-03-27","cited_by_count":0,"area":null},{"id":"2106.05430","title":"Separating Boundary Points via Structural Regularization for Very Compact Clusters","created":"2021-06-09","cited_by_count":0,"area":null},{"id":"2111.13921","title":"Transformed K-means Clustering","created":"2021-11-27","cited_by_count":0,"area":null},{"id":"2206.04949","title":"Deep Multi-View Semi-Supervised Clustering with Sample Pairwise Constraints","created":"2022-06-10","cited_by_count":0,"area":null},{"id":"2402.07845","title":"Unsupervised Optimisation of GNNs for Node Clustering","created":"2024-02-12","cited_by_count":0,"area":null},{"id":"2402.14490","title":"Imbalanced Data Clustering using Equilibrium K-Means","created":"2024-02-22","cited_by_count":0,"area":null},{"id":"2403.18044","title":"Deep polytopic autoencoders for low-dimensional linear parameter-varying approximations and nonlinear feedback design","created":"2024-03-26","cited_by_count":0,"area":null},{"id":"2408.07558","title":"Sonic: Fast and Transferable Data Poisoning on Clustering Algorithms","created":"2024-08-14","cited_by_count":0,"area":null},{"id":"2410.06265","title":"SHADE: Deep Density-based Clustering","created":"2024-10-08","cited_by_count":0,"area":null},{"id":"2411.19496","title":"An Approach Towards Learning K-means-friendly Deep Latent Representation","created":"2024-11-29","cited_by_count":0,"area":null},{"id":"2501.02036","title":"Deep Clustering via Gradual Community Detection","created":"2025-01-03","cited_by_count":0,"area":null},{"id":"2502.00734","title":"CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning","created":"2025-02-02","cited_by_count":0,"area":null},{"id":"2504.03928","title":"Random Normed k-Means: A Paradigm-Shift in Clustering within Probabilistic Metric Spaces","created":"2025-04-04","cited_by_count":0,"area":null},{"id":"2511.18992","title":"Classification EM-PCA for clustering and embedding","created":"2025-11-24","cited_by_count":0,"area":null},{"id":"2601.01268","title":"Accelerated Full Waveform Inversion by Deep Compressed Learning","created":"2026-01-03","cited_by_count":0,"area":null},{"id":"2602.03562","title":"NPCNet: Navigator-Driven Pseudo Text for Deep Clustering of Early Sepsis Phenotyping","created":"2026-02-03","cited_by_count":0,"area":null},{"id":"2603.06602","title":"Khatri-Rao Clustering for Data Summarization","created":"2026-02-17","cited_by_count":0,"area":null},{"id":"2607.06887","title":"Converge to Surprise: Evolutionary Self-supervised Image Clustering","created":"2026-07-08","cited_by_count":0,"area":null},{"id":"2608.00346","title":"Ensemble of Unsupervised Deep Learning for Clustering Imbalanced Tabular Data","created":"2026-07-31","cited_by_count":0,"area":null}],"next_cursor":null}