{"total":58,"rows":[{"id":"2106.09707","title":"Learning to Predict Visual Attributes in the Wild","created":"2021-06-17","cited_by_count":96,"area":null},{"id":"2111.12933","title":"ML-Decoder: Scalable and Versatile Classification Head","created":"2021-11-25","cited_by_count":79,"area":null},{"id":"2112.10941","title":"Structured Semantic Transfer for Multi-Label Recognition with Partial Labels","created":"2021-12-21","cited_by_count":41,"area":null},{"id":"2108.00261","title":"ECLARE: Extreme Classification with Label Graph Correlations","created":"2021-07-31","cited_by_count":38,"area":null},{"id":"2112.07368","title":"Simple and Robust Loss Design for Multi-Label Learning with Missing Labels","created":"2021-12-13","cited_by_count":30,"area":null},{"id":"2109.02157","title":"Learning with Holographic Reduced Representations","created":"2021-09-05","cited_by_count":25,"area":null},{"id":"2110.10955","title":"Multi-label Classification with Partial Annotations using Class-aware Selective Loss","created":"2021-10-21","cited_by_count":25,"area":null},{"id":"2108.10566","title":"sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification","created":"2021-08-24","cited_by_count":23,"area":null},{"id":"2206.00517","title":"One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement","created":"2022-06-01","cited_by_count":22,"area":null},{"id":"2407.13746","title":"Multi-Label Learning with Stronger Consistency Guarantees","created":"2024-07-18","cited_by_count":22,"area":null},{"id":"2203.03483","title":"Towards Unbiased Multi-label Zero-Shot Learning with Pyramid and Semantic Attention","created":"2022-03-07","cited_by_count":21,"area":null},{"id":"2205.11131","title":"Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels","created":"2022-05-23","cited_by_count":19,"area":null},{"id":"2304.10539","title":"Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels","created":"2023-04-20","cited_by_count":17,"area":null},{"id":"2410.17241","title":"Frontiers in Intelligent Colonoscopy","created":"2024-10-22","cited_by_count":14,"area":null},{"id":"2201.08315","title":"Predictive Inference with Weak Supervision","created":"2022-01-20","cited_by_count":13,"area":null},{"id":"2105.07338","title":"CCMN: A General Framework for Learning with Class-Conditional Multi-Label Noise","created":"2021-05-16","cited_by_count":9,"area":null},{"id":"2207.04197","title":"Multi-label Classification with High-rank and High-order Label Correlations","created":"2022-07-09","cited_by_count":8,"area":null},{"id":"2309.00923","title":"GBE-MLZSL: A Group Bi-Enhancement Framework for Multi-Label Zero-Shot Learning","created":"2023-09-02","cited_by_count":8,"area":null},{"id":"2106.01487","title":"LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes","created":"2021-06-02","cited_by_count":7,"area":null},{"id":"2106.02225","title":"Materials Representation and Transfer Learning for Multi-Property Prediction","created":"2021-06-04","cited_by_count":7,"area":null},{"id":"2106.12751","title":"Label Disentanglement in Partition-based Extreme Multilabel Classification","created":"2021-06-24","cited_by_count":7,"area":null},{"id":"2210.03968","title":"A Survey on Extreme Multi-label Learning","created":"2022-10-08","cited_by_count":7,"area":null},{"id":"2210.11469","title":"G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification","created":"2022-10-20","cited_by_count":7,"area":null},{"id":"2203.10348","title":"Font Generation with Missing Impression Labels","created":"2022-03-19","cited_by_count":6,"area":null},{"id":"2411.13578","title":"CMOOD: Concept-based Multi-label OOD Detection","created":"2024-11-15","cited_by_count":6,"area":null},{"id":"2104.14173","title":"Fine-grained Generalization Analysis of Vector-valued Learning","created":"2021-04-29","cited_by_count":5,"area":null},{"id":"2107.13404","title":"XFL: Naming Functions in Binaries with Extreme Multi-label Learning","created":"2021-07-28","cited_by_count":5,"area":null},{"id":"2109.11282","title":"Unbiased Loss Functions for Multilabel Classification with Missing Labels","created":"2021-09-23","cited_by_count":5,"area":null},{"id":"2208.09999","title":"PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification","created":"2022-08-22","cited_by_count":5,"area":null},{"id":"2305.05882","title":"Deep Partial Multi-Label Learning with Graph Disambiguation","created":"2023-05-10","cited_by_count":5,"area":null},{"id":"2408.12253","title":"Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning","created":"2024-08-22","cited_by_count":3,"area":null},{"id":"2410.03052","title":"Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport","created":"2024-10-04","cited_by_count":3,"area":null},{"id":"2209.01314","title":"Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels","created":"2022-09-03","cited_by_count":2,"area":null},{"id":"2303.08360","title":"Knowledge Distillation from Single to Multi Labels: an Empirical Study","created":"2023-03-15","cited_by_count":2,"area":"distill"},{"id":"2305.03474","title":"Zoo Guide to Network Embedding","created":"2023-05-05","cited_by_count":2,"area":null},{"id":"2109.15021","title":"On Riemannian Approach for Constrained Optimization Model in Extreme Classification Problems","created":"2021-09-30","cited_by_count":1,"area":null},{"id":"2110.06892","title":"TAG: Toward Accurate Social Media Content Tagging with a Concept Graph","created":"2021-10-13","cited_by_count":1,"area":null},{"id":"2207.14443","title":"A Survey of Learning on Small Data: Generalization, Optimization, and Challenge","created":"2022-07-29","cited_by_count":1,"area":null},{"id":"2302.09150","title":"Cluster-Guided Label Generation in Extreme Multi-Label Classification","created":"2023-02-17","cited_by_count":1,"area":null},{"id":"2308.00166","title":"Towards Imbalanced Large Scale Multi-label Classification with Partially Annotated Labels","created":"2023-07-31","cited_by_count":1,"area":null},{"id":"2309.13886","title":"Can Class-Priors Help Single-Positive Multi-Label Learning?","created":"2023-09-25","cited_by_count":1,"area":null},{"id":"2401.16991","title":"Category-wise Fine-Tuning: Resisting Incorrect Pseudo-Labels in Multi-Label Image Classification with Partial Labels","created":"2024-01-30","cited_by_count":1,"area":null},{"id":"2508.20381","title":"More Reliable Pseudo-labels, Better Performance: A Generalized Approach to Single Positive Multi-label Learning","created":"2025-08-28","cited_by_count":1,"area":null},{"id":"2603.08001","title":"Amortized Maximum Inner Product Search with Learned Support Functions","created":"2026-03-09","cited_by_count":1,"area":null},{"id":"2108.13570","title":"Fast Multi-label Learning","created":"2021-08-31","cited_by_count":0,"area":null},{"id":"2109.14676","title":"Active Refinement for Multi-Label Learning: A Pseudo-Label Approach","created":"2021-09-29","cited_by_count":0,"area":null},{"id":"2110.09877","title":"Two-stage Voice Application Recommender System for Unhandled Utterances in Intelligent Personal Assistant","created":"2021-10-19","cited_by_count":0,"area":null},{"id":"2110.13244","title":"DeepHelp: Deep Learning for Shout Crisis Text Conversations","created":"2021-10-25","cited_by_count":0,"area":null},{"id":"2112.10297","title":"DXML: Distributed Extreme Multilabel Classification","created":"2021-10-20","cited_by_count":0,"area":null},{"id":"2305.19470","title":"Label Embedding via Low-Coherence Matrices","created":"2023-05-31","cited_by_count":0,"area":null},{"id":"2312.13312","title":"Multi-label Learning from Privacy-Label","created":"2023-12-20","cited_by_count":0,"area":null},{"id":"2403.16482","title":"Determined Multi-Label Learning via Similarity-Based Prompt","created":"2024-03-25","cited_by_count":0,"area":null},{"id":"2406.06119","title":"A Survey on Incomplete Multi-label Learning: Recent Advances and Future Trends","created":"2024-06-10","cited_by_count":0,"area":null},{"id":"2410.15762","title":"Solving Sparse \\& High-Dimensional-Output Regression via Compression","created":"2024-10-21","cited_by_count":0,"area":null},{"id":"2512.00812","title":"Causal Invariance and Counterfactual Learning Driven Cooperative Game for Multi-Label Classification","created":"2025-11-30","cited_by_count":0,"area":null},{"id":"2603.18957","title":"BVSIMC: Bayesian Variable Selection-Guided Inductive Matrix Completion for Improved and Interpretable Drug Discovery","created":"2026-03-19","cited_by_count":0,"area":null},{"id":"2605.13126","title":"MLGIB: Multi-Label Graph Information Bottleneck for Expressive and Robust Message Passing","created":"2026-05-13","cited_by_count":0,"area":null},{"id":"2605.28767","title":"Principled Algorithms for Optimizing Generalized Metrics in Multi-Label Learning","created":"2026-05-27","cited_by_count":0,"area":null}],"next_cursor":null}