{"total":93,"rows":[{"id":"2201.02609","title":"Generalized Category Discovery","created":"2022-01-07","cited_by_count":211,"area":null},{"id":"2102.03526","title":"Open-World Semi-Supervised Learning","created":"2021-02-06","cited_by_count":165,"area":null},{"id":"2108.08536","title":"A Unified Objective for Novel Class Discovery","created":"2021-08-19","cited_by_count":162,"area":null},{"id":"2106.10731","title":"Neighborhood Contrastive Learning for Novel Class Discovery","created":"2021-06-20","cited_by_count":121,"area":null},{"id":"2106.15252","title":"AutoNovel: Automatically Discovering and Learning Novel Visual Categories","created":"2021-06-29","cited_by_count":116,"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":"2104.12673","title":"Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data","created":"2021-04-26","cited_by_count":55,"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":"2106.06133","title":"Refining Pseudo Labels with Clustering Consensus over Generations for Unsupervised Object Re-identification","created":"2021-06-11","cited_by_count":45,"area":null},{"id":"2207.08605","title":"Class-incremental Novel Class Discovery","created":"2022-07-18","cited_by_count":42,"area":null},{"id":"2207.10659","title":"Novel Class Discovery without Forgetting","created":"2022-07-21","cited_by_count":39,"area":null},{"id":"2206.08063","title":"Towards Robust Ranker for Text Retrieval","created":"2022-06-16","cited_by_count":37,"area":null},{"id":"2207.02261","title":"OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning","created":"2022-07-05","cited_by_count":37,"area":null},{"id":"2408.14371","title":"SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery","created":"2024-08-26","cited_by_count":34,"area":null},{"id":"2208.02764","title":"OpenCon: Open-world Contrastive Learning","created":"2022-08-04","cited_by_count":33,"area":null},{"id":"2102.04002","title":"Meta Discovery: Learning to Discover Novel Classes given Very Limited Data","created":"2021-02-08","cited_by_count":31,"area":null},{"id":"2205.12914","title":"New Intent Discovery with Pre-training and Contrastive Learning","created":"2022-05-25","cited_by_count":28,"area":null},{"id":"2305.14107","title":"Federated Generalized Category Discovery","created":"2023-05-23","cited_by_count":27,"area":null},{"id":"2210.03591","title":"Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery","created":"2022-10-07","cited_by_count":26,"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":"2304.14310","title":"Incremental Generalized Category Discovery","created":"2023-04-27","cited_by_count":25,"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":"2110.15063","title":"TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition","created":"2021-09-13","cited_by_count":24,"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":"2311.03524","title":"A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning","created":"2023-11-06","cited_by_count":22,"area":null},{"id":"2104.01286","title":"Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation","created":"2021-04-03","cited_by_count":21,"area":null},{"id":"2308.05017","title":"When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis","created":"2023-08-09","cited_by_count":21,"area":null},{"id":"2102.06879","title":"Learning from Similarity-Confidence Data","created":"2021-02-13","cited_by_count":19,"area":null},{"id":"2308.02989","title":"Novel Class Discovery for Long-tailed Recognition","created":"2023-08-06","cited_by_count":19,"area":null},{"id":"2304.05387","title":"MOST: Multiple Object localization with Self-supervised Transformers for object discovery","created":"2023-04-11","cited_by_count":17,"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":"2105.01652","title":"The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory","created":"2021-05-04","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":"2303.15975","title":"Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery","created":"2023-03-28","cited_by_count":11,"area":null},{"id":"2204.10595","title":"Spacing Loss for Discovering Novel Categories","created":"2022-04-22","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":"2411.10670","title":"IntentGPT: Few-shot Intent Discovery with Large Language Models","created":"2024-11-16","cited_by_count":8,"area":null},{"id":"2305.00771","title":"Towards Unbiased Training in Federated Open-world Semi-supervised Learning","created":"2023-05-01","cited_by_count":7,"area":null},{"id":"2402.01922","title":"A General Framework for Learning from Weak Supervision","created":"2024-02-02","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":"2403.03382","title":"Adaptive Discovering and Merging for Incremental Novel Class Discovery","created":"2024-03-06","cited_by_count":6,"area":null},{"id":"2403.16913","title":"New Intent Discovery with Attracting and Dispersing Prototype","created":"2024-03-25","cited_by_count":6,"area":null},{"id":"2410.15019","title":"A Survey of Ontology Expansion for Conversational Understanding","created":"2024-10-19","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":"2306.11343","title":"A Universal Unbiased Method for Classification from Aggregate Observations","created":"2023-06-20","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":"2408.13492","title":"Online Continuous Generalized Category Discovery","created":"2024-08-24","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":"2403.14410","title":"GLC++: Source-Free Universal Domain Adaptation through Global-Local Clustering and Contrastive Affinity Learning","created":"2024-03-21","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":"2407.17816","title":"NC-NCD: Novel Class Discovery for Node Classification","created":"2024-07-25","cited_by_count":4,"area":null},{"id":"2503.16782","title":"Learning Part Knowledge to Facilitate Category Understanding for Fine-Grained Generalized Category Discovery","created":"2025-03-21","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":"2501.02427","title":"MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance","created":"2025-01-05","cited_by_count":3,"area":null},{"id":"2503.23740","title":"LANID: LLM-assisted New Intent Discovery","created":"2025-03-31","cited_by_count":3,"area":null},{"id":"2104.09015","title":"Labels, Information, and Computation: Efficient Learning Using Sufficient Labels","created":"2021-04-19","cited_by_count":2,"area":null},{"id":"2201.06731","title":"Dialog Intent Induction via Density-based Deep Clustering Ensemble","created":"2022-01-18","cited_by_count":2,"area":null},{"id":"2203.13238","title":"Open-set Recognition via Augmentation-based Similarity Learning","created":"2022-03-24","cited_by_count":2,"area":null},{"id":"2205.02005","title":"A Framework to Generate High-Quality Datapoints for Multiple Novel Intent Detection","created":"2022-05-04","cited_by_count":2,"area":null},{"id":"2304.14185","title":"HPSCAN: Human Perception-Based Scattered Data Clustering","created":"2023-04-27","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":"2311.15395","title":"ConstraintMatch for Semi-constrained Clustering","created":"2023-11-26","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":"2510.06907","title":"Angular Constraint Embedding via SpherePair Loss for Constrained Clustering","created":"2025-10-08","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":"2206.12063","title":"Mutual Information-guided Knowledge Transfer for Novel Class Discovery","created":"2022-06-24","cited_by_count":1,"area":null},{"id":"2310.06221","title":"Detecting and Learning Out-of-Distribution Data in the Open world: Algorithm and Theory","created":"2023-10-10","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":"2506.12515","title":"Generalized Category Discovery under the Long-Tailed Distribution","created":"2025-06-14","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":"2101.01366","title":"A Symmetric Loss Perspective of Reliable Machine Learning","created":"2021-01-05","cited_by_count":0,"area":null},{"id":"2106.15278","title":"Open-Set Representation Learning through Combinatorial Embedding","created":"2021-06-29","cited_by_count":0,"area":null},{"id":"2210.00064","title":"CEREAL: Few-Sample Clustering Evaluation","created":"2022-09-30","cited_by_count":0,"area":null},{"id":"2210.07587","title":"ConEntail: An Entailment-based Framework for Universal Zero and Few Shot Classification with Supervised Contrastive Pretraining","created":"2022-10-14","cited_by_count":0,"area":null},{"id":"2210.11804","title":"Discovering New Intents Using Latent Variables","created":"2022-10-21","cited_by_count":0,"area":null},{"id":"2303.02341","title":"RoLNiP: Robust Learning Using Noisy Pairwise Comparisons","created":"2023-03-04","cited_by_count":0,"area":null},{"id":"2405.20829","title":"Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference","created":"2024-05-31","cited_by_count":0,"area":null},{"id":"2410.20219","title":"Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discovery","created":"2024-10-26","cited_by_count":0,"area":null},{"id":"2507.10638","title":"ZClassifier: Temperature Tuning and Manifold Approximation via KL Divergence on Logit Space","created":"2025-07-14","cited_by_count":0,"area":null},{"id":"2507.12029","title":"Intra-view and Inter-view Correlation Guided Multi-view Novel Class Discovery","created":"2025-07-16","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":"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":"2511.05913","title":"NILC: Discovering New Intents with LLM-assisted Clustering","created":"2025-11-08","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":"2601.18766","title":"Learning to Discover: A Generalized Framework for Raga Identification without Forgetting","created":"2026-01-26","cited_by_count":0,"area":null},{"id":"2605.07413","title":"Risk-Consistent Multiclass Learning from Random Label-Subset Membership Queries","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2608.08963","title":"Fourier Self-Supervision for Fine-Grained Generalized Category Discovery","created":"2026-08-09","cited_by_count":0,"area":null},{"id":"2608.12027","title":"Uncertainty-Aware Probabilistic Constrained Clustering from Entangled Pairwise Supervision","created":"2026-08-12","cited_by_count":0,"area":null}],"next_cursor":null}