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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