multiple instance learning

SMILE: A Scale-aware Multiple Instance Learning Method for Multicenter STAS Lung Cancer Histopathology Diagnosis IJCAI 2025 TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection AAAI 2025 Uncertainty-Based Data-Wise Label Smoothing for Calibrating Multiple Instance Learning in Histopathology Image Classification WACV 2025 Weak to Strong Learning from Aggregate Labels UAI 2025 A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification AAAI 2024 An Effective Local Prototypical Mapping Network for Speech Emotion Recognition Interspeech 2024 Are Multiple Instance Learning Algorithms Learnable for Instances? NeurIPS 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 Boosting Weakly Supervised Object Detection Using Fusion and Priors From Hallucinated Depth WACV 2024 CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification AAAI 2024 CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images ICLR 2024 Causal ATTention Multiple Instance Learning for Whole Slide Image Classification ACML 2024 Contrastive Learning for DeepFake Classification and Localization via Multi-Label Ranking CVPR 2024 Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology CVPR 2024 Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement NeurIPS 2024 Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction CVPR 2024 Generalization and Learnability in Multiple Instance Regression UAI 2024 Incorporating probabilistic domain knowledge into deep multiple instance learning ICML 2024 Inherently Interpretable Time Series Classification via Multiple Instance Learning ICLR 2024 MIVC: Multiple Instance Visual Component for Visual-Language Models WACV 2024 Mixed Models with Multiple Instance Learning AISTATS 2024 NcIEMIL: Rethinking Decoupled Multiple Instance Learning Framework for Histopathological Slide Classification MIDL 2024 Prompt-Enhanced Multiple Instance Learning for Weakly Supervised Video Anomaly Detection CVPR 2024 Reinforced Multiple Instance Selection for Speaker Attribute Prediction NAACL 2024