{"total":110,"rows":[{"id":"2110.06207","title":"Open-Set Recognition: a Good Closed-Set Classifier is All You Need?","created":"2021-10-12","cited_by_count":353,"area":null},{"id":"2201.02609","title":"Generalized Category Discovery","created":"2022-01-07","cited_by_count":211,"area":null},{"id":"2108.08536","title":"A Unified Objective for Novel Class Discovery","created":"2021-08-19","cited_by_count":162,"area":null},{"id":"2211.11727","title":"Parametric Classification for Generalized Category Discovery: A Baseline Study","created":"2022-11-21","cited_by_count":113,"area":null},{"id":"2303.17393","title":"Dynamic Conceptional Contrastive Learning for Generalized Category Discovery","created":"2023-03-30","cited_by_count":92,"area":null},{"id":"2305.06144","title":"Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery","created":"2023-05-10","cited_by_count":72,"area":null},{"id":"2311.17055","title":"No Representation Rules Them All in Category Discovery","created":"2023-11-28","cited_by_count":61,"area":null},{"id":"2111.11821","title":"Learning Representation for Clustering via Prototype Scattering and Positive Sampling","created":"2021-11-23","cited_by_count":58,"area":null},{"id":"2208.01898","title":"XCon: Learning with Experts for Fine-grained Category Discovery","created":"2022-08-03","cited_by_count":50,"area":null},{"id":"2204.05604","title":"Towards Open-Set Object Detection and Discovery","created":"2022-04-12","cited_by_count":44,"area":null},{"id":"2308.11063","title":"MetaGCD: Learning to Continually Learn in Generalized Category Discovery","created":"2023-08-21","cited_by_count":42,"area":null},{"id":"2212.00334","title":"Parametric Information Maximization for Generalized Category Discovery","created":"2022-12-01","cited_by_count":39,"area":null},{"id":"2210.04174","title":"Grow and Merge: A Unified Framework for Continuous Categories Discovery","created":"2022-10-09","cited_by_count":33,"area":null},{"id":"2305.14107","title":"Federated Generalized Category Discovery","created":"2023-05-23","cited_by_count":27,"area":null},{"id":"2304.06928","title":"CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery","created":"2023-04-14","cited_by_count":26,"area":null},{"id":"2501.05272","title":"Solving the Catastrophic Forgetting Problem in Generalized Category Discovery","created":"2025-01-09","cited_by_count":26,"area":null},{"id":"2305.10420","title":"CLIP-GCD: Simple Language Guided Generalized Category Discovery","created":"2023-05-17","cited_by_count":25,"area":null},{"id":"2302.12028","title":"Novel Class Discovery: an Introduction and Key Concepts","created":"2023-02-22","cited_by_count":24,"area":null},{"id":"2408.04591","title":"HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts","created":"2024-08-08","cited_by_count":23,"area":null},{"id":"2410.19213","title":"Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery","created":"2024-10-24","cited_by_count":21,"area":null},{"id":"2504.06120","title":"Hyperbolic Category Discovery","created":"2025-04-08","cited_by_count":20,"area":null},{"id":"2308.02989","title":"Novel Class Discovery for Long-tailed Recognition","created":"2023-08-06","cited_by_count":19,"area":null},{"id":"2504.03755","title":"ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery","created":"2025-04-02","cited_by_count":19,"area":null},{"id":"2410.06535","title":"Happy: A Debiased Learning Framework for Continual Generalized Category Discovery","created":"2024-10-09","cited_by_count":18,"area":null},{"id":"2307.10943","title":"Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery","created":"2023-07-20","cited_by_count":16,"area":null},{"id":"2504.04804","title":"DebGCD: Debiased Learning with Distribution Guidance for Generalized Category Discovery","created":"2025-04-07","cited_by_count":15,"area":null},{"id":"2405.06283","title":"Novel Class Discovery for Ultra-Fine-Grained Visual Categorization","created":"2024-05-10","cited_by_count":13,"area":null},{"id":"2209.09120","title":"A Closer Look at Novel Class Discovery from the Labeled Set","created":"2022-09-19","cited_by_count":12,"area":null},{"id":"2404.05366","title":"CDAD-Net: Bridging Domain Gaps in Generalized Category Discovery","created":"2024-04-08","cited_by_count":12,"area":null},{"id":"2204.10595","title":"Spacing Loss for Discovering Novel Categories","created":"2022-04-22","cited_by_count":10,"area":null},{"id":"2403.01053","title":"Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling","created":"2024-03-02","cited_by_count":10,"area":null},{"id":"2407.12489","title":"Dual-level Adaptive Self-Labeling for Novel Class Discovery in Point Cloud Segmentation","created":"2024-07-17","cited_by_count":10,"area":null},{"id":"2503.12035","title":"MOS: Modeling Object-Scene Associations in Generalized Category Discovery","created":"2025-03-15","cited_by_count":10,"area":null},{"id":"2507.04051","title":"Generate, Refine, and Encode: Leveraging Synthesized Novel Samples for On-the-Fly Fine-Grained Category Discovery","created":"2025-07-05","cited_by_count":10,"area":null},{"id":"2304.07699","title":"A Clustering Framework for Unsupervised and Semi-supervised New Intent Discovery","created":"2023-04-16","cited_by_count":9,"area":null},{"id":"2410.14379","title":"AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios","created":"2024-10-18","cited_by_count":9,"area":null},{"id":"2204.09847","title":"Unseen Object Instance Segmentation with Fully Test-time RGB-D Embeddings Adaptation","created":"2022-04-21","cited_by_count":8,"area":null},{"id":"2410.05217","title":"Organizing Unstructured Image Collections using Natural Language","created":"2024-10-07","cited_by_count":7,"area":null},{"id":"2510.18740","title":"SEAL: Semantic-Aware Hierarchical Learning for Generalized Category Discovery","created":"2025-10-21","cited_by_count":7,"area":null},{"id":"2209.01217","title":"A Method for Discovering Novel Classes in Tabular Data","created":"2022-09-02","cited_by_count":6,"area":null},{"id":"2305.12401","title":"WOT-Class: Weakly Supervised Open-world Text Classification","created":"2023-05-21","cited_by_count":6,"area":null},{"id":"2309.16451","title":"Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering","created":"2023-09-28","cited_by_count":6,"area":null},{"id":"2407.19752","title":"Contextuality Helps Representation Learning for Generalized Category Discovery","created":"2024-07-29","cited_by_count":6,"area":null},{"id":"2506.02334","title":"Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization","created":"2025-06-03","cited_by_count":6,"area":null},{"id":"2208.00979","title":"Automatically Discovering Novel Visual Categories with Self-supervised Prototype Learning","created":"2022-08-01","cited_by_count":5,"area":null},{"id":"2406.18140","title":"Exclusive Style Removal for Cross Domain Novel Class Discovery","created":"2024-06-26","cited_by_count":5,"area":null},{"id":"2503.14897","title":"When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach","created":"2025-03-19","cited_by_count":5,"area":null},{"id":"2509.22542","title":"Category Discovery: An Open-World Perspective","created":"2025-09-26","cited_by_count":5,"area":null},{"id":"2306.03648","title":"Supervised Knowledge May Hurt Novel Class Discovery Performance","created":"2023-06-06","cited_by_count":4,"area":null},{"id":"2310.19210","title":"Generalized Category Discovery with Clustering Assignment Consistency","created":"2023-10-30","cited_by_count":4,"area":null},{"id":"2312.13500","title":"Federated Continual Novel Class Learning","created":"2023-12-21","cited_by_count":4,"area":null},{"id":"2401.05352","title":"Generalized Categories Discovery for Long-tailed Recognition","created":"2023-12-04","cited_by_count":4,"area":null},{"id":"2404.08995","title":"Beyond Known Clusters: Probe New Prototypes for Efficient Generalized Class Discovery","created":"2024-04-13","cited_by_count":4,"area":null},{"id":"2406.04898","title":"Labeled Data Selection for Category Discovery","created":"2024-06-07","cited_by_count":4,"area":null},{"id":"2511.00573","title":"Generalized Category Discovery under Domain Shift: A Frequency Domain Perspective","created":"2025-11-01","cited_by_count":4,"area":null},{"id":"2307.03856","title":"Novel Categories Discovery Via Constraints on Empirical Prediction Statistics","created":"2023-07-07","cited_by_count":3,"area":null},{"id":"2308.06926","title":"OpenGCD: Assisting Open World Recognition with Generalized Category Discovery","created":"2023-08-14","cited_by_count":3,"area":null},{"id":"2401.05353","title":"ImbaGCD: Imbalanced Generalized Category Discovery","created":"2023-12-04","cited_by_count":3,"area":null},{"id":"2409.20098","title":"DIG-FACE: De-biased Learning for Generalized Facial Expression Category Discovery","created":"2024-09-30","cited_by_count":3,"area":null},{"id":"2507.14315","title":"A Hidden Stumbling Block in Generalized Category Discovery: Distracted Attention","created":"2025-07-18","cited_by_count":3,"area":null},{"id":"2304.07354","title":"NEV-NCD: Negative Learning, Entropy, and Variance regularization based novel action categories discovery","created":"2023-04-14","cited_by_count":2,"area":null},{"id":"2306.12919","title":"An Interactive Interface for Novel Class Discovery in Tabular Data","created":"2023-06-22","cited_by_count":2,"area":null},{"id":"2311.05440","title":"A Practical Approach to Novel Class Discovery in Tabular Data","created":"2023-11-09","cited_by_count":2,"area":null},{"id":"2402.18821","title":"Debiased Novel Category Discovering and Localization","created":"2024-02-29","cited_by_count":2,"area":null},{"id":"2405.06389","title":"Continual Novel Class Discovery via Feature Enhancement and Adaptation","created":"2024-05-10","cited_by_count":2,"area":null},{"id":"2410.21705","title":"AdaptGCD: Multi-Expert Adapter Tuning for Generalized Category Discovery","created":"2024-10-29","cited_by_count":2,"area":null},{"id":"2410.21807","title":"A Fresh Look at Generalized Category Discovery through Non-negative Matrix Factorization","created":"2024-10-29","cited_by_count":2,"area":null},{"id":"2509.22769","title":"PartCo: Part-Level Correspondence Priors Enhance Category Discovery","created":"2025-09-26","cited_by_count":2,"area":null},{"id":"2509.26227","title":"Generalized Fine-Grained Category Discovery with Multi-Granularity Conceptual Experts","created":"2025-09-30","cited_by_count":2,"area":null},{"id":"2510.13307","title":"Novel Class Discovery for Point Cloud Segmentation via Joint Learning of Causal Representation and Reasoning","created":"2025-10-15","cited_by_count":2,"area":null},{"id":"2605.09420","title":"Relational Retrieval: Leveraging Known-Novel Interactions for Generalized Category Discovery","created":"2026-05-10","cited_by_count":2,"area":null},{"id":"2206.12063","title":"Mutual Information-guided Knowledge Transfer for Novel Class Discovery","created":"2022-06-24","cited_by_count":1,"area":null},{"id":"2401.13325","title":"Memory Consistency Guided Divide-and-Conquer Learning for Generalized Category Discovery","created":"2024-01-24","cited_by_count":1,"area":null},{"id":"2410.13285","title":"Composing Novel Classes: A Concept-Driven Approach to Generalized Category Discovery","created":"2024-10-17","cited_by_count":1,"area":null},{"id":"2504.08550","title":"Proxy-Anchor and EVT-Driven Continual Learning Method for Generalized Category Discovery","created":"2025-04-11","cited_by_count":1,"area":null},{"id":"2506.12515","title":"Generalized Category Discovery under the Long-Tailed Distribution","created":"2025-06-14","cited_by_count":1,"area":null},{"id":"2509.06306","title":"Video-based Generalized Category Discovery via Memory-Guided Consistency-Aware Contrastive Learning","created":"2025-09-08","cited_by_count":1,"area":null},{"id":"2511.22892","title":"ClearGCD: Mitigating Shortcut Learning For Robust Generalized Category Discovery","created":"2025-11-28","cited_by_count":1,"area":null},{"id":"2603.08075","title":"TALON: Test-time Adaptive Learning for On-the-Fly Category Discovery","created":"2026-03-09","cited_by_count":1,"area":null},{"id":"2605.08183","title":"Sparsity Hurts: Simple Linear Adapter Can Boost Generalized Category Discovery","created":"2026-05-05","cited_by_count":1,"area":null},{"id":"2607.04548","title":"Explainable Novel Category Discovery in Semantic Concept Space","created":"2026-07-05","cited_by_count":1,"area":null},{"id":"2208.08217","title":"How does the degree of novelty impacts semi-supervised representation learning for novel class retrieval?","created":"2022-08-17","cited_by_count":0,"area":null},{"id":"2211.16352","title":"D\\'ecouvrir de nouvelles classes dans des donn\\'ees tabulaires","created":"2022-11-28","cited_by_count":0,"area":null},{"id":"2302.06523","title":"Transferable Deep Metric Learning for Clustering","created":"2023-02-13","cited_by_count":0,"area":null},{"id":"2409.05937","title":"Hierarchical novel class discovery for single-cell transcriptomic profiles","created":"2024-09-09","cited_by_count":0,"area":null},{"id":"2412.01701","title":"FathomVerse: A community science dataset for ocean animal discovery","created":"2024-12-02","cited_by_count":0,"area":null},{"id":"2503.09106","title":"Freeze and Cluster: A Simple Baseline for Rehearsal-Free Continual Category Discovery","created":"2025-03-12","cited_by_count":0,"area":null},{"id":"2506.06965","title":"Long-Tailed Learning for Generalized Category Discovery","created":"2025-06-08","cited_by_count":0,"area":null},{"id":"2506.12514","title":"Interpretable Text-Guided Image Clustering via Iterative Search","created":"2025-06-14","cited_by_count":0,"area":null},{"id":"2508.11173","title":"Exploring the Tradeoff Between Diversity and Discrimination for Continuous Category Discovery","created":"2025-08-15","cited_by_count":0,"area":null},{"id":"2508.18075","title":"Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering","created":"2025-08-25","cited_by_count":0,"area":null},{"id":"2508.21424","title":"Unsupervised Incremental Learning Using Confidence-Based Pseudo-Labels","created":"2025-08-29","cited_by_count":0,"area":null},{"id":"2508.21770","title":"What Can We Learn from Harry Potter? An Exploratory Study of Visual Representation Learning from Atypical Videos","created":"2025-08-29","cited_by_count":0,"area":null},{"id":"2509.15585","title":"How many classes do we need to see for novel class discovery?","created":"2025-09-19","cited_by_count":0,"area":null},{"id":"2510.15422","title":"Information Theory in Open-world Machine Learning Foundations, Frameworks, and Future Direction","created":"2025-10-17","cited_by_count":0,"area":null},{"id":"2510.17160","title":"Learning After Model Deployment","created":"2025-10-20","cited_by_count":0,"area":null},{"id":"2511.03120","title":"Image-Intrinsic Priors for Integrated Circuit Defect Detection and Novel Class Discovery via Self-Supervised Learning","created":"2025-11-05","cited_by_count":0,"area":null},{"id":"2512.10262","title":"VLM-NCD:Novel Class Discovery with Vision-Based Large Language Models","created":"2025-12-11","cited_by_count":0,"area":null},{"id":"2601.10098","title":"InfoSculpt: Sculpting the Latent Space for Generalized Category Discovery","created":"2026-01-15","cited_by_count":0,"area":null},{"id":"2602.02618","title":"A Semi-Supervised Pipeline for Generalized Behavior Discovery from Animal-Borne Motion Time Series","created":"2026-02-02","cited_by_count":0,"area":null}],"next_cursor":"100"}