{"list":"other","total":67,"rows":[{"id":"2103.00020","title":"Learning Transferable Visual Models From Natural Language Supervision","created":"2021-02-26","cited_by_count":33744},{"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":"2006.09882","title":"Unsupervised Learning of Visual Features by Contrasting Cluster Assignments","created":"2020-06-17","cited_by_count":2857},{"id":"1306.0895","title":"Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances","created":"2013-06-04","cited_by_count":2316},{"id":"1311.3618","title":"Describing Textures in the Wild","created":"2013-11-14","cited_by_count":2125},{"id":"1906.05849","title":"Contrastive Multiview Coding","created":"2019-06-13","cited_by_count":1301},{"id":"1511.06335","title":"Unsupervised Deep Embedding for Clustering Analysis","created":"2015-11-19","cited_by_count":767},{"id":"2203.02053","title":"Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning","created":"2022-03-03","cited_by_count":561},{"id":"2209.07511","title":"Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models","created":"2022-09-15","cited_by_count":382},{"id":"2207.09519","title":"Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification","created":"2022-07-19","cited_by_count":362},{"id":"2005.12320","title":"SCAN: Learning to Classify Images without Labels","created":"2020-05-25","cited_by_count":352},{"id":"2010.00475","title":"FSD50K: An Open Dataset of Human-Labeled Sound Events","created":"2020-10-01","cited_by_count":342},{"id":"2106.13043","title":"AudioCLIP: Extending CLIP to Image, Text and Audio","created":"2021-06-24","cited_by_count":339},{"id":"2009.09687","title":"Contrastive Clustering","created":"2020-09-21","cited_by_count":265},{"id":"1610.04794","title":"Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering","created":"2016-10-15","cited_by_count":237},{"id":"2110.11499","title":"Wav2CLIP: Learning Robust Audio Representations From CLIP","created":"2021-10-21","cited_by_count":213},{"id":"2308.06038","title":"Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning","created":"2023-08-11","cited_by_count":154},{"id":"2006.08558","title":"Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction","created":"2020-06-15","cited_by_count":142},{"id":"2403.18293","title":"Efficient Test-Time Adaptation of Vision-Language Models","created":"2024-03-27","cited_by_count":141},{"id":"2209.03430","title":"Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions","created":"2022-09-07","cited_by_count":116},{"id":"2103.09382","title":"SPICE: Semantic Pseudo-labeling for Image Clustering","created":"2021-03-17","cited_by_count":104},{"id":"2512.24880","title":"mHC: Manifold-Constrained Hyper-Connections","created":"2025-12-31","cited_by_count":88},{"id":"2302.12247","title":"Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework","created":"2023-02-23","cited_by_count":83},{"id":"2210.04142","title":"Deep Clustering: A Comprehensive Survey","created":"2022-10-09","cited_by_count":78},{"id":"2110.11842","title":"Multi-view Contrastive Graph Clustering","created":"2021-10-22","cited_by_count":76},{"id":"2207.02862","title":"Verifying the Union of Manifolds Hypothesis for Image Data","created":"2022-07-06","cited_by_count":64},{"id":"2104.01429","title":"Graph Contrastive Clustering","created":"2021-04-03","cited_by_count":61},{"id":"2111.11821","title":"Learning Representation for Clustering via Prototype Scattering and Positive Sampling","created":"2021-11-23","cited_by_count":58},{"id":"2404.07983","title":"Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models","created":"2024-04-11","cited_by_count":57},{"id":"2403.17589","title":"Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models","created":"2024-03-26","cited_by_count":52},{"id":"2302.14383","title":"Linear Spaces of Meanings: Compositional Structures in Vision-Language Models","created":"2023-02-28","cited_by_count":48},{"id":"2201.10000","title":"Neural Manifold Clustering and Embedding","created":"2022-01-24","cited_by_count":44},{"id":"2602.14486","title":"Revisiting the Platonic Representation Hypothesis: An Aristotelian View","created":"2026-02-16","cited_by_count":44},{"id":"1605.02633","title":"Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering","created":"2016-05-09","cited_by_count":40},{"id":"2006.01095","title":"Emergence of Separable Manifolds in Deep Language Representations","created":"2020-06-01","cited_by_count":40},{"id":"1712.01727","title":"OL\\'E: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning","created":"2017-12-05","cited_by_count":37},{"id":"2310.11989","title":"Image Clustering with External Guidance","created":"2023-10-18","cited_by_count":36},{"id":"2303.17896","title":"Exploring the Limits of Deep Image Clustering using Pretrained Models","created":"2023-03-31","cited_by_count":33},{"id":"2502.16282","title":"Understanding the Emergence of Multimodal Representation Alignment","created":"2025-02-22","cited_by_count":31},{"id":"2305.06799","title":"GCFAgg: Global and Cross-view Feature Aggregation for Multi-view Clustering","created":"2023-05-11","cited_by_count":30},{"id":"2404.04072","title":"Label Propagation for Zero-shot Classification with Vision-Language Models","created":"2024-04-05","cited_by_count":28},{"id":"2105.11527","title":"Unsupervised Visual Representation Learning by Online Constrained K-Means","created":"2021-05-24","cited_by_count":27},{"id":"1610.05211","title":"Structured Sparse Subspace Clustering: A Joint Affinity Learning and Subspace Clustering Framework","created":"2016-10-17","cited_by_count":26},{"id":"2208.09849","title":"Semantic-Enhanced Image Clustering","created":"2022-08-21","cited_by_count":25},{"id":"2110.04318","title":"Learning a Self-Expressive Network for Subspace Clustering","created":"2021-10-08","cited_by_count":24},{"id":"2311.14310","title":"Stable Cluster Discrimination for Deep Clustering","created":"2023-11-24","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":"2306.05272","title":"Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models","created":"2023-06-08","cited_by_count":22},{"id":"2404.17753","title":"Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification","created":"2024-04-27","cited_by_count":19},{"id":"2010.03697","title":"A Critique of Self-Expressive Deep Subspace Clustering","created":"2020-10-08","cited_by_count":18},{"id":"2005.01449","title":"Stochastic Sparse Subspace Clustering","created":"2020-05-04","cited_by_count":17},{"id":"2004.10476","title":"Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image","created":"2020-04-22","cited_by_count":16},{"id":"2106.09874","title":"Towards Clustering-friendly Representations: Subspace Clustering via Graph Filtering","created":"2021-06-18","cited_by_count":14},{"id":"2406.01909","title":"A Global Geometric Analysis of Maximal Coding Rate Reduction","created":"2024-06-04","cited_by_count":13},{"id":"1808.05965","title":"On Geometric Analysis of Affine Sparse Subspace Clustering","created":"2018-08-17","cited_by_count":12},{"id":"2301.01805","title":"Unsupervised Manifold Linearizing and Clustering","created":"2023-01-04","cited_by_count":12},{"id":"2312.07806","title":"Contextually Affinitive Neighborhood Refinery for Deep Clustering","created":"2023-12-12","cited_by_count":10},{"id":"2406.19602","title":"A Survey on Deep Clustering: From the Prior Perspective","created":"2024-06-28","cited_by_count":9},{"id":"2412.18303","title":"Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model","created":"2024-12-24","cited_by_count":8},{"id":"2510.16335","title":"On the Provable Importance of Gradients for Language-Assisted Image Clustering","created":"2025-10-18","cited_by_count":8},{"id":"2503.17288","title":"Exploring a Principled Framework for Deep Subspace Clustering","created":"2025-03-21","cited_by_count":7},{"id":"2401.11740","title":"Multi-level Cross-modal Alignment for Image Clustering","created":"2024-01-22","cited_by_count":5},{"id":"2502.15051","title":"Approximating Latent Manifolds in Neural Networks via Vanishing Ideals","created":"2025-02-20","cited_by_count":5},{"id":"2512.00904","title":"Hierarchical Semantic Alignment for Image Clustering","created":"2025-11-30","cited_by_count":5},{"id":"2305.03414","title":"Adaptive Graph Convolutional Subspace Clustering","created":"2023-05-05","cited_by_count":4},{"id":"2110.02863","title":"Exploring the Common Principal Subspace of Deep Features in Neural Networks","created":"2021-10-06","cited_by_count":2}],"next_cursor":null}