Multi-Instance Learning

HU at SemEval-2026 Task 6: A Hybrid Discriminative Modeling of Political Clarity and Evasion SemEval 2026 Learning from Noisy Supervision: A Denoising-Debiasing Framework for Weakly Supervised Video Anomaly Detection CVPR 2026 Learning Structure-Aware Foundational Representation of Rat Testicular Tubules Using Multiple Instance Learning MIDL 2026 TLMA: Mitigating the Impact of Weakly Labeled Information for Video Anomaly Detection CVPR 2026 Universal-to-Specific: Dynamic Knowledge-Guided Multiple Instance Learning for Few-Shot Whole Slide Image Classification CVPR 2026 Aggregating Data for Optimal Learning UAI 2025 Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning CVPR 2025 Fast Multi-Instance Partial-Label Learning AAAI 2025 Learning Algorithms for Multiple Instance Regression UAI 2025 M3amba: Memory Mamba is All You Need for Whole Slide Image Classification CVPR 2025 Minimal Evidence Group Identification for Claim Verification NAACL 2025 Multi-Instance Multi-Label Classification from Crowdsourced Labels AAAI 2025 No Pains, More Gains: Recycling Sub-Salient Patches for Efficient High-Resolution Image Recognition CVPR 2025 Ordinal Multiple-Instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer WACV 2025 Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification AAAI 2025 TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection AAAI 2025 T-MDML: Triplet-based Multiple Distance Metric Learning for Multi-Instance Multi-Label Classification with Label Correlation AAAI 2025 Weak to Strong Learning from Aggregate Labels UAI 2025 Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree EMNLP 2024 A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification AAAI 2024 A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling AAAI 2024 Attention-Guided Prototype Mixing: Diversifying Minority Context on Imbalanced Whole Slide Images Classification Learning WACV 2024 Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference AAAI 2024 CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification AAAI 2024 Combating Insider Threat in the Open-World Environments: Identification, Monitoring, and Data Augmentation AAAI 2024