multiple instance learning

Context-Aware Patch Representations for Multiple Instance Learning MIDL 2026 Contrastive Cross-Bag Augmentation for Multiple Instance Learning-based Whole Slide Image Classification CVPR 2026 Counterfactual Intervention in Attention Multiple Instance Learning For Digital Pathology MIDL 2026 Diagnose Like A REAL Pathologist: An Uncertainty-Focused Approach for Trustworthy Multi-Resolution Multiple Instance Learning WACV 2026 Domain Adaptation Without the Compute Burden for Efficient Whole Slide Image Analysis MIDL 2026 DTC-WSI: Dynamic Token Compression for Whole-Slide Images MIDL 2026 Every Error has Its Magnitude: Asymmetric Mistake Severity Training for Multiclass Multiple Instance Learning CVPR 2026 HistoMILKD: A Multiple Instance Learning based Multi-Teacher Knowledge Distillation Framework for Whole Slide Image Classification WACV 2026 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 MILCA: Malaria Parasite Detection from Sample-Level Weak Labels MIDL 2026 MoA: Mixture of Aggregators Improves Slide-Level Diagnosis in Computational Pathology MIDL 2026 Multi-View Attention Multiple-Instance Learning Enhanced by LLM Reasoning for Cognitive Distortion Detection ACL 2026 PSA-MIL: A Probabilistic Spatial Attention-Based Multiple Instance Learning for Whole Slide Image Classification WACV 2026 ResGAT: A Residual Graph Attention Network for Cancer Subtype Classification in Whole Slide Images MIDL 2026 SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred Trajectories AAAI 2026 SGPMIL: Sparse Gaussian Process Multiple Instance Learning WACV 2026 Spatiotemporal Transformers with Multiple Instance Learning for Label-Efficient Behavioral Analysis in Autism (Student Abstract) AAAI 2026 StainNet: Scaling Self-Supervised Foundation Models on Immunohistochemistry and Special Stains for Computational Pathology MIDL 2026 TLMA: Mitigating the Impact of Weakly Labeled Information for Video Anomaly Detection CVPR 2026 Turning Pre-Trained Vision Transformers into End-to-End Histopathology Whole Slide Image Models for Survival Prediction CVPR 2026 Universal-to-Specific: Dynamic Knowledge-Guided Multiple Instance Learning for Few-Shot Whole Slide Image Classification CVPR 2026 YoungDSMLKZ at SemEval-2026 Task 13: MIL-UniXcoder with Meta-Stacking and Handcrafted Features for AI-Generated Code Detection SemEval 2026 Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging CVPR 2025