Get started
Keyword

multiple instance learning

Description: Multiple instance learning is a machine-learning approach that trains on labeled groups of instances when individual instances lack labels.
Wikidata ID: wiki/Q6934870
OpenAlex ID: keywords/multiple-instance-learning
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
2019 · Gabriele Campanella, Matthew G. Hanna, et al. · Nature Medicine · 2,773
Data-efficient and weakly supervised computational pathology on whole-slide images
2021 · Ming Y. Lu, Drew F. K. Williamson, et al. · Nature Biomedical Engineering · 2,261
PDF
Real-World Anomaly Detection in Surveillance Videos
2018 · Waqas Sultani, Chen Chen, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2,231
PDF
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
2018 · Alberto Fernandez, Salvador Garcia, et al. · Journal of Artificial Intelligence Research · 2,224
PDF
Robust Object Tracking with Online Multiple Instance Learning
2010 · B. Babenko, Ming-Hsuan Yang, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2,006
Visual tracking with online Multiple Instance Learning
2009 · Boris Babenko, Ming-Hsuan Yang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,804
Support Vector Machines for Multiple-Instance Learning
2002 · Stuart Andrews, Ioannis Tsochantaridis, et al. · 1,397
From captions to visual concepts and back
2015 · Hao Fang, Saurabh Gupta, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,315
PDF
Attention-based Deep Multiple Instance Learning
2018 · Ilse, Maximilian, Tomczak, Jakub M., et al. · arXiv (Cornell University) · 1,234
PDF
A Framework for Multiple-Instance Learning
1997 · Oded Maron, Tomás Lozano‐Pérez · 1,232
Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks
2015 · Daojian Zeng, Kang Liu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 1,185
PDF
Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning
2021 · Bin Li, Yin Li, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 951
PDF
Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations
2011 · Raphael Hoffmann, Congle Zhang, et al. · 882
Supervised Learning of Semantic Classes for Image Annotation and Retrieval
2007 · Gustavo Carneiro, Antoni B. Chan, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 859
PDF
Boosting Image Captioning with Attributes
2017 · Ting Yao, Yingwei Pan, et al. · IEEE International Conference on Computer Vision (ICCV) · 753
PDF
MILES: Multiple-Instance Learning via Embedded Instance Selection
2006 · Yixin Chen, Jinbo Bi, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 753
Multiple instance learning: A survey of problem characteristics and applications
2017 · Marc-André Carbonneau, Veronika Cheplygina, et al. · Pattern Recognition · 734
PDF
From image-level to pixel-level labeling with Convolutional Networks
2015 · Pedro O. Pinheiro, Ronan Collobert · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 691
Multiple Instance Boosting for Object Detection
2005 · Cha Zhang, John Platt, et al. · neural information processing systems · 688
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
2018 · Lee, Juho, Lee, Yoonho, et al. · arXiv (Cornell University) · 641
PDF
Visual tracking with online Multiple Instance Learning
2009 · B. Babenko, Ming-Hsuan Yang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 637
Image Categorization by Learning and Reasoning with Regions
2004 · Yixin Chen, James Z. Wang · 626
EM-DD: An Improved Multiple-Instance Learning Technique
2001 · Qi Zhang, Sally A. Goldman · 626
Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection
2019 · Jia-Xing Zhong, Nannan Li, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 622
PDF
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
2021 · Shao, Zhuchen, Bian, Hao, et al. · arXiv (Cornell University) · 614
PDF
Works count: 6,284
Citation count: 118,800
Year
Topic
Type