Multi-Instance Learning
121 papers
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Papers
Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification
CVPR 2024
Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology
CVPR 2024
Mixed Models with Multiple Instance Learning
AISTATS 2024
Multi-Instance Partial-Label Learning with Margin Adjustment
NeurIPS 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
NeurIPS 2024
Transformer-Based Video-Structure Multi-Instance Learning for Whole Slide Image Classification
AAAI 2024
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification
CVPR 2024
Focus on the Sound around You: Monaural Target Speaker Extraction via Distance and Speaker Information
Interspeech 2023
HFMRE: Constructing Huffman Tree in Bags to Find Excellent Instances for Distantly Supervised Relation Extraction
EMNLP 2023
Interventional Bag Multi-Instance Learning on Whole-Slide Pathological Images
CVPR 2023
Investigation of Music Emotion Recognition Based on Segmented Semi-Supervised Learning
Interspeech 2023
Multi-Row, Multi-Span Distant Supervision For Table+Text Question Answering
ACL 2023
Noise-Robust Semi-Supervised Learning for Distantly Supervised Relation Extraction
EMNLP 2023
Phrase-Level Temporal Relationship Mining for Temporal Sentence Localization
AAAI 2023
Random Forests for Change Point Detection
JMLR 2023
RGMIL: Guide Your Multiple-Instance Learning Model with Regressor
NeurIPS 2023
TP-Detector: Detecting Turning Points in the Engineering Process of Large-scale Projects
EMNLP 2023
Weak-Shot Object Detection Through Mutual Knowledge Transfer
CVPR 2023
A Proposal-Based Paradigm for Self-Supervised Sound Source Localization in Videos
CVPR 2022
Audio Pyramid Transformer with Domain Adaption for Weakly Supervised Sound Event Detection and Audio Classification
Interspeech 2022
Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks
AAAI 2022
Dual-Curriculum Contrastive Multi-Instance Learning for Cancer Prognosis Analysis with Whole Slide Images
NeurIPS 2022
Key Mention Pairs Guided Document-Level Relation Extraction
COLING 2022
Learning from Label Proportions with Prototypical Contrastive Clustering
AAAI 2022