{"list":"other","total":54,"rows":[{"id":"2002.05709","title":"A Simple Framework for Contrastive Learning of Visual Representations","created":"2020-02-13","cited_by_count":12049},{"id":"1911.05722","title":"Momentum Contrast for Unsupervised Visual Representation Learning","created":"2019-11-13","cited_by_count":7513},{"id":"2203.00667","title":"Generative Adversarial Networks","created":"2022-03-01","cited_by_count":5627},{"id":"2006.07733","title":"Bootstrap your own latent: A new approach to self-supervised Learning","created":"2020-06-13","cited_by_count":4750},{"id":"1708.07747","title":"Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms","created":"2017-08-25","cited_by_count":4349},{"id":"1312.6114","title":"Auto-Encoding Variational Bayes","created":"2013-12-20","cited_by_count":4053},{"id":"1805.01978","title":"Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination","created":"2018-05-05","cited_by_count":1845},{"id":"1511.06335","title":"Unsupervised Deep Embedding for Clustering Analysis","created":"2015-11-19","cited_by_count":767},{"id":"2006.08218","title":"Self-supervised Learning: Generative or Contrastive","created":"2020-06-15","cited_by_count":694},{"id":"2006.05582","title":"Contrastive Multi-View Representation Learning on Graphs","created":"2020-06-10","cited_by_count":652},{"id":"1804.03599","title":"Understanding disentangling in $\\beta$-VAE","created":"2018-04-10","cited_by_count":335},{"id":"1911.12667","title":"Self-Supervised Learning by Cross-Modal Audio-Video Clustering","created":"2019-11-28","cited_by_count":267},{"id":"1611.05148","title":"Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering","created":"2016-11-16","cited_by_count":220},{"id":"2006.02713","title":"Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID","created":"2020-06-04","cited_by_count":212},{"id":"2001.06937","title":"A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications","created":"2020-01-20","cited_by_count":209},{"id":"1802.05335","title":"Multimodal Generative Models for Scalable Weakly-Supervised Learning","created":"2018-02-14","cited_by_count":200},{"id":"2002.07017","title":"Learning Robust Representations via Multi-View Information Bottleneck","created":"2020-02-17","cited_by_count":191},{"id":"1602.01024","title":"On Deep Multi-View Representation Learning: Objectives and Optimization","created":"2016-02-02","cited_by_count":162},{"id":"2103.09382","title":"SPICE: Semantic Pseudo-labeling for Image Clustering","created":"2021-03-17","cited_by_count":104},{"id":"1611.01891","title":"Joint Multimodal Learning with Deep Generative Models","created":"2016-11-07","cited_by_count":87},{"id":"2110.11842","title":"Multi-view Contrastive Graph Clustering","created":"2021-10-22","cited_by_count":76},{"id":"2106.11193","title":"Multi-level Feature Learning for Contrastive Multi-view Clustering","created":"2021-06-21","cited_by_count":73},{"id":"2103.07738","title":"Reconsidering Representation Alignment for Multi-view Clustering","created":"2021-03-13","cited_by_count":57},{"id":"2106.11232","title":"Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering","created":"2021-06-21","cited_by_count":51},{"id":"2103.15069","title":"Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering","created":"2021-03-28","cited_by_count":41},{"id":"2304.10769","title":"Deep Multiview Clustering by Contrasting Cluster Assignments","created":"2023-04-21","cited_by_count":34},{"id":"1708.06724","title":"VIGAN: Missing View Imputation with Generative Adversarial Networks","created":"2017-08-22","cited_by_count":33},{"id":"1905.00149","title":"Self-Supervised Convolutional Subspace Clustering Network","created":"2019-05-01","cited_by_count":32},{"id":"1804.06498","title":"Deep Multimodal Subspace Clustering Networks","created":"2018-04-17","cited_by_count":31},{"id":"2007.13067","title":"Deep Embedded Multi-view Clustering with Collaborative Training","created":"2020-07-26","cited_by_count":31},{"id":"2208.08040","title":"A Survey on Incomplete Multi-view Clustering","created":"2022-08-17","cited_by_count":31},{"id":"1409.6813","title":"Histogram of Oriented Principal Components for Cross-View Action Recognition","created":"2014-09-24","cited_by_count":27},{"id":"1704.04886","title":"Multi-View Image Generation from a Single-View","created":"2017-04-17","cited_by_count":27},{"id":"1909.06940","title":"Multi-graph Fusion for Multi-view Spectral Clustering","created":"2019-09-16","cited_by_count":27},{"id":"2003.13088","title":"Generative Partial Multi-View Clustering","created":"2020-03-29","cited_by_count":25},{"id":"1908.01978","title":"Multi-view Deep Subspace Clustering Networks","created":"2019-08-06","cited_by_count":24},{"id":"2308.11164","title":"Decoupled Contrastive Multi-View Clustering with High-Order Random Walks","created":"2023-08-22","cited_by_count":23},{"id":"2301.11045","title":"Incomplete Multi-view Clustering via Prototype-based Imputation","created":"2023-01-26","cited_by_count":21},{"id":"2205.02618","title":"Contrastive Multi-view Hyperbolic Hierarchical Clustering","created":"2022-05-05","cited_by_count":19},{"id":"2307.03476","title":"Unpaired Multi-View Graph Clustering with Cross-View Structure Matching","created":"2023-07-07","cited_by_count":19},{"id":"1907.09747","title":"Shared Generative Latent Representation Learning for Multi-view Clustering","created":"2019-07-23","cited_by_count":17},{"id":"2204.12496","title":"Self-Supervised Information Bottleneck for Deep Multi-View Subspace Clustering","created":"2022-04-26","cited_by_count":15},{"id":"2305.06939","title":"Deep Multi-View Subspace Clustering with Anchor Graph","created":"2023-05-11","cited_by_count":13},{"id":"2307.16026","title":"MUSE: Multi-View Contrastive Learning for Heterophilic Graphs","created":"2023-07-29","cited_by_count":13},{"id":"2009.09445","title":"Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling","created":"2020-09-20","cited_by_count":12},{"id":"2305.12743","title":"Semantic Invariant Multi-view Clustering with Fully Incomplete Information","created":"2023-05-22","cited_by_count":12},{"id":"1911.11396","title":"Multi-View Multiple Clusterings using Deep Matrix Factorization","created":"2019-11-26","cited_by_count":9},{"id":"1909.01084","title":"MEGAN: A Generative Adversarial Network for Multi-View Network Embedding","created":"2019-08-20","cited_by_count":8},{"id":"2209.11927","title":"Self-supervised Image Clustering from Multiple Incomplete Views via Constrastive Complementary Generation","created":"2022-09-24","cited_by_count":8},{"id":"2206.11130","title":"Multi-View Clustering for Open Knowledge Base Canonicalization","created":"2022-06-22","cited_by_count":5},{"id":"2205.03803","title":"Deep Embedded Multi-View Clustering via Jointly Learning Latent Representations and Graphs","created":"2022-05-08","cited_by_count":4},{"id":"2210.06795","title":"Subspace-Contrastive Multi-View Clustering","created":"2022-10-13","cited_by_count":4},{"id":"2203.00186","title":"ACTIVE:Augmentation-Free Graph Contrastive Learning for Partial Multi-View Clustering","created":"2022-03-01","cited_by_count":2},{"id":"2211.04906","title":"Cross-view Graph Contrastive Representation Learning on Partially Aligned Multi-view Data","created":"2022-11-08","cited_by_count":1}],"next_cursor":null}