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Multi-Instance Learning

21 directly classified papers

Papers per year

Papers

OODML: Whole Slide Image Classification Meets Online Pseudo-Supervision and Dynamic Mutual Learning AAAI 2025
CMDL: A Large-Scale Chinese Multi-Defendant Legal Judgment Prediction Dataset ACL 2024
Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology CVPR 2024
Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks AAAI 2022
H^2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole Slide Image Analysis AAAI 2022
Selecting Optimal Context Sentences for Event-Event Relation Extraction AAAI 2022
Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring AAAI 2021
Face Forensics in the Wild CVPR 2021
Multiple Anchor Learning for Visual Object Detection CVPR 2020
A Proposal-Based Approach for Activity Image-to-Video Retrieval AAAI 2020
Multiple Instance Learning for Content Feedback Localization without Annotation ACL 2020
A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction ACL 2020
Learning From Web Data With Self-Organizing Memory Module CVPR 2020
Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding AAAI 2019
Segmentation-Driven 6D Object Pose Estimation CVPR 2019
Predicting Discourse Structure using Distant Supervision from Sentiment EMNLP 2019
Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction EMNLP 2018
MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks With Privileged Information CVPR 2017
Multiple Instance Detection Network With Online Instance Classifier Refinement CVPR 2017
DevNet: A Deep Event Network for Multimedia Event Detection and Evidence Recounting CVPR 2015
Maximum Margin Multi-Instance Learning NIPS 2011