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Multi-Instance Learning
104 directly classified papers
Papers per year
2006: 2
2007: 1
2010: 3
2011: 2
2012: 2
2013: 4
2014: 1
2015: 3
2016: 3
2017: 3
2018: 8
2019: 9
2020: 10
2021: 9
2022: 8
2023: 11
2024: 15
2025: 10
Papers
T-MDML: Triplet-based Multiple Distance Metric Learning for Multi-Instance Multi-Label Classification with Label Correlation
AAAI 2025
Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning
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
No Pains, More Gains: Recycling Sub-Salient Patches for Efficient High-Resolution Image Recognition
CVPR 2025
Fast Multi-Instance Partial-Label Learning
AAAI 2025
Multi-Instance Multi-Label Classification from Crowdsourced Labels
AAAI 2025
TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection
AAAI 2025
M3amba: Memory Mamba is All You Need for Whole Slide Image Classification
CVPR 2025
Minimal Evidence Group Identification for Claim Verification
NAACL 2025
A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification
AAAI 2024
Transformer-Based Video-Structure Multi-Instance Learning for Whole Slide Image Classification
AAAI 2024
A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling
AAAI 2024
Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference
AAAI 2024
Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree
EMNLP 2024
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification
CVPR 2024
SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology
WACV 2024
Sm: enhanced localization in Multiple Instance Learning for medical imaging classification
NIPS 2024
Combating Insider Threat in the Open-World Environments: Identification, Monitoring, and Data Augmentation
AAAI 2024
Attention-Guided Prototype Mixing: Diversifying Minority Context on Imbalanced Whole Slide Images Classification Learning
WACV 2024
Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification
CVPR 2024
Mixed Models with Multiple Instance Learning
AISTATS 2024
Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology
CVPR 2024
CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification
AAAI 2024
Multi-Instance Partial-Label Learning with Margin Adjustment
NIPS 2024
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