{"total":71,"rows":[{"id":"2105.07342","title":"Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive","created":"2021-05-16","cited_by_count":136,"area":null},{"id":"2102.07810","title":"HDMI: High-order Deep Multiplex Infomax","created":"2021-02-15","cited_by_count":82,"area":null},{"id":"2210.04142","title":"Deep Clustering: A Comprehensive Survey","created":"2022-10-09","cited_by_count":78,"area":null},{"id":"2105.04580","title":"Towards Discovery and Attribution of Open-world GAN Generated Images","created":"2021-05-10","cited_by_count":66,"area":null},{"id":"2110.14863","title":"Graph Communal Contrastive Learning","created":"2021-10-28","cited_by_count":34,"area":null},{"id":"2104.03531","title":"Pseudo-supervised Deep Subspace Clustering","created":"2021-04-08","cited_by_count":29,"area":null},{"id":"2106.05241","title":"Multi-Facet Clustering Variational Autoencoders","created":"2021-06-09","cited_by_count":28,"area":null},{"id":"2110.04318","title":"Learning a Self-Expressive Network for Subspace Clustering","created":"2021-10-08","cited_by_count":24,"area":null},{"id":"2410.10365","title":"SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples","created":"2024-10-14","cited_by_count":20,"area":null},{"id":"2209.12396","title":"Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric","created":"2022-09-26","cited_by_count":17,"area":null},{"id":"2602.04789","title":"Light Forcing: Accelerating Autoregressive Video Diffusion via Sparse Attention","created":"2026-02-04","cited_by_count":12,"area":"diffusion"},{"id":"2103.05484","title":"Doubly Contrastive Deep Clustering","created":"2021-03-09","cited_by_count":9,"area":null},{"id":"2312.14138","title":"Revisiting Foreground and Background Separation in Weakly-supervised Temporal Action Localization: A Clustering-based Approach","created":"2023-12-21","cited_by_count":8,"area":null},{"id":"2510.16335","title":"On the Provable Importance of Gradients for Language-Assisted Image Clustering","created":"2025-10-18","cited_by_count":8,"area":null},{"id":"2203.08327","title":"Motif Mining: Finding and Summarizing Remixed Image Content","created":"2022-03-16","cited_by_count":7,"area":null},{"id":"2412.00742","title":"Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective","created":"2024-12-01","cited_by_count":7,"area":null},{"id":"2103.06031","title":"Deep Superpixel Cut for Unsupervised Image Segmentation","created":"2021-03-10","cited_by_count":6,"area":null},{"id":"2103.17086","title":"Deep adaptive fuzzy clustering for evolutionary unsupervised representation learning","created":"2021-03-31","cited_by_count":6,"area":null},{"id":"2112.03398","title":"Top-Down Deep Clustering with Multi-generator GANs","created":"2021-12-06","cited_by_count":6,"area":null},{"id":"2412.01566","title":"Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art","created":"2024-12-02","cited_by_count":6,"area":null},{"id":"2605.30116","title":"SGMD: Score Gradient Matching Distillation for Few-Step Video Diffusion Distillation","created":"2026-05-28","cited_by_count":6,"area":"diffusion"},{"id":"2406.11703","title":"Unveiling Multiple Descents in Unsupervised Autoencoders","created":"2024-06-17","cited_by_count":5,"area":null},{"id":"2304.02841","title":"Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation","created":"2023-04-06","cited_by_count":4,"area":null},{"id":"2102.07472","title":"DAC: Deep Autoencoder-based Clustering, a General Deep Learning Framework of Representation Learning","created":"2021-02-15","cited_by_count":3,"area":null},{"id":"2103.04344","title":"Graph Force Learning","created":"2021-03-07","cited_by_count":3,"area":null},{"id":"2302.10753","title":"DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data","created":"2023-02-17","cited_by_count":3,"area":null},{"id":"2305.16841","title":"Differentiable Random Partition Models","created":"2023-05-26","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":"2102.03868","title":"U-vectors: Generating clusterable speaker embedding from unlabeled data","created":"2021-02-07","cited_by_count":2,"area":null},{"id":"2104.14735","title":"DPR-CAE: Capsule Autoencoder with Dynamic Part Representation for Image Parsing","created":"2021-04-30","cited_by_count":2,"area":null},{"id":"2107.12706","title":"Improving ClusterGAN Using Self-Augmented Information Maximization of Disentangling Latent Spaces","created":"2021-07-27","cited_by_count":2,"area":null},{"id":"2304.14531","title":"High-dimensional Clustering onto Hamiltonian Cycle","created":"2023-04-27","cited_by_count":2,"area":null},{"id":"2310.20327","title":"Improving Entropy-Based Test-Time Adaptation from a Clustering View","created":"2023-10-31","cited_by_count":2,"area":null},{"id":"2401.15989","title":"Deep Embedding Clustering Driven by Sample Stability","created":"2024-01-29","cited_by_count":2,"area":null},{"id":"2403.03448","title":"Kernel Correlation-Dissimilarity for Multiple Kernel k-Means Clustering","created":"2024-03-06","cited_by_count":2,"area":null},{"id":"2404.01341","title":"Block-Diagonal Guided DBSCAN Clustering","created":"2024-03-31","cited_by_count":2,"area":null},{"id":"2404.10351","title":"On the Use of Relative Validity Indices for Comparing Clustering Approaches","created":"2024-04-16","cited_by_count":2,"area":null},{"id":"2410.04801","title":"Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineering","created":"2024-10-07","cited_by_count":2,"area":null},{"id":"2508.04200","title":"Bootstrap Deep Spectral Clustering with Optimal Transport","created":"2025-08-06","cited_by_count":2,"area":null},{"id":"2602.09586","title":"Delving into Spectral Clustering with Vision-Language Representations","created":"2026-02-10","cited_by_count":2,"area":"mllm"},{"id":"2605.15640","title":"Learning Disentangled Representations for Generalized Multi-view Clustering","created":"2026-05-15","cited_by_count":2,"area":null},{"id":"2103.00694","title":"Meta-learning representations for clustering with infinite Gaussian mixture models","created":"2021-03-01","cited_by_count":1,"area":null},{"id":"2111.06586","title":"AnchorGAE: General Data Clustering via $O(n)$ Bipartite Graph Convolution","created":"2021-11-12","cited_by_count":1,"area":null},{"id":"2203.06298","title":"Neural Topic Modeling with Deep Mutual Information Estimation","created":"2022-03-12","cited_by_count":1,"area":null},{"id":"2302.00192","title":"Density peak clustering using tensor network","created":"2023-02-01","cited_by_count":1,"area":null},{"id":"2101.03783","title":"Deep Adversarial Inconsistent Cognitive Sampling for Multi-view Progressive Subspace Clustering","created":"2021-01-11","cited_by_count":0,"area":null},{"id":"2103.10656","title":"Beyond Linear Subspace Clustering: A Comparative Study of Nonlinear Manifold Clustering Algorithms","created":"2021-03-19","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":"2108.02572","title":"SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis","created":"2021-08-03","cited_by_count":0,"area":null},{"id":"2108.02725","title":"VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search","created":"2021-08-05","cited_by_count":0,"area":null},{"id":"2109.05778","title":"Text is NOT Enough: Integrating Visual Impressions into Open-domain Dialogue Generation","created":"2021-09-13","cited_by_count":0,"area":null},{"id":"2109.13164","title":"Multi-way Clustering and Discordance Analysis through Deep Collective Matrix Tri-Factorization","created":"2021-09-27","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":"2112.05786","title":"Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead Images","created":"2021-12-10","cited_by_count":0,"area":null},{"id":"2202.02830","title":"Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors","created":"2022-02-06","cited_by_count":0,"area":null},{"id":"2203.11011","title":"Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks","created":"2022-03-08","cited_by_count":0,"area":null},{"id":"2205.08335","title":"Explanation-Guided Fairness Testing through Genetic Algorithm","created":"2022-05-16","cited_by_count":0,"area":null},{"id":"2205.14303","title":"Deep Embedded Clustering with Distribution Consistency Preservation for Attributed Networks","created":"2022-05-28","cited_by_count":0,"area":null},{"id":"2207.14648","title":"Using Graph Neural Networks for Program Termination","created":"2022-07-28","cited_by_count":0,"area":null},{"id":"2303.09664","title":"Tribe or Not? Critical Inspection of Group Differences Using TribalGram","created":"2023-03-16","cited_by_count":0,"area":null},{"id":"2308.05757","title":"OrcoDCS: An IoT-Edge Orchestrated Online Deep Compressed Sensing Framework","created":"2023-08-05","cited_by_count":0,"area":null},{"id":"2310.04946","title":"Transferable Deep Clustering Model","created":"2023-10-07","cited_by_count":0,"area":null},{"id":"2310.11940","title":"Interpretable Spectral Variational AutoEncoder (ISVAE) for time series clustering","created":"2023-10-18","cited_by_count":0,"area":null},{"id":"2310.17869","title":"Grid Jigsaw Representation with CLIP: A New Perspective on Image Clustering","created":"2023-10-27","cited_by_count":0,"area":null},{"id":"2403.16201","title":"From Discrete to Continuous: Deep Fair Clustering With Transferable Representations","created":"2024-03-24","cited_by_count":0,"area":null},{"id":"2405.15727","title":"Anomalous Change Point Detection Using Probabilistic Predictive Coding","created":"2024-05-24","cited_by_count":0,"area":null},{"id":"2510.18004","title":"Attention-Guided Deep Adversarial Temporal Subspace Clustering (A-DATSC) Model for multivariate spatiotemporal data","created":"2025-10-20","cited_by_count":0,"area":null},{"id":"2512.20905","title":"DiEC: Diffusion Embedded Clustering","created":"2025-12-24","cited_by_count":0,"area":"diffusion"},{"id":"2604.19480","title":"Deep Sprite-based Image Models: An Analysis","created":"2026-04-21","cited_by_count":0,"area":null},{"id":"2607.21088","title":"CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data","created":"2026-07-23","cited_by_count":0,"area":null},{"id":"2607.25967","title":"Quasi-SVD: Learning a Lie-constrained matrix factorisation for real-time imaging","created":"2026-07-28","cited_by_count":0,"area":null}],"next_cursor":null}