Multiple Instance Learning

Multiple Instance Learning is a type of weakly supervised learning algorithm where training data is arranged in bags, where each bag contains a set of instances $X=\{x_1,x_2, \ldots,x_M\}$, and there is one single label $Y$ per bag, $Y\in\{0, 1\}$ in the case of a binary classification problem. It is assumed that individual labels $y_1, y_2,\ldots, y_M$ exist for the instances within a bag, but they are unknown during training. In the standard Multiple Instance assumption, a bag is considered negative if all its instances are negative. On the other hand, a bag is positive, if at least one instance in the bag is positive.

Source: Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 351–400 of 744 papers

Title	Date	Tasks	Status	Hype
Explaining Classifiers Trained on Raw Hierarchical Multiple-Instance Data	Aug 4, 2022	Feature EngineeringForm	—Unverified	0
Psychophysiological Arousal in Young Children Who Stutter: An Interpretable AI Approach	Aug 3, 2022	Multiple Instance Learning	CodeCode Available	0
Is Attention Interpretation? A Quantitative Assessment On Sets	Jul 26, 2022	Binary ClassificationMultiple Instance Learning	—Unverified	0
Effective and Interpretable Information Aggregation with Capacity Networks	Jul 25, 2022	DecoderInductive Bias	—Unverified	0
Robust Object Detection With Inaccurate Bounding Boxes	Jul 20, 2022	Multiple Instance LearningObject	CodeCode Available	1
Gigapixel Whole-Slide Images Classification using Locally Supervised Learning	Jul 17, 2022	ClassificationGPU	CodeCode Available	1
Point-to-Box Network for Accurate Object Detection via Single Point Supervision	Jul 14, 2022	AttributeMultiple Instance Learning	CodeCode Available	2
RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment	Jul 13, 2022	Image Quality AssessmentMultiple Instance Learning	—Unverified	0
Modality-Aware Contrastive Instance Learning with Self-Distillation for Weakly-Supervised Audio-Visual Violence Detection	Jul 12, 2022	Anomaly Detection In Surveillance Videosaudio-visual learning	CodeCode Available	1
Scaling Novel Object Detection with Weakly Supervised Detection Transformers	Jul 11, 2022	Multiple Instance LearningNovel Object Detection	CodeCode Available	1
ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification	Jul 5, 2022	Data Augmentationimage-classification	CodeCode Available	1
Anomaly-aware multiple instance learning for rare anemia disorder classification	Jul 4, 2022	ClassificationDiversity	CodeCode Available	0
Deep Multiple Instance Learning For Forecasting Stock Trends Using Financial News	Jun 29, 2022	ArticlesMultiple Instance Learning	—Unverified	0
Multiple Instance Learning with Mixed Supervision in Gleason Grading	Jun 26, 2022	Multiple Instance Learningwhole slide images	CodeCode Available	1
Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification	Jun 22, 2022	image-classificationImage Classification	CodeCode Available	1
Weakly-Supervised Temporal Action Localization by Progressive Complementary Learning	Jun 22, 2022	Action LocalizationMultiple Instance Learning	CodeCode Available	0
DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification	Jun 17, 2022	Classificationimage-classification	CodeCode Available	1
Rank the triplets: A ranking-based multiple instance learning framework for detecting HPV infection in head and neck cancers using routine H&E images	Jun 16, 2022	Multiple Instance LearningPrognosis	—Unverified	0
Balancing Bias and Variance for Active Weakly Supervised Learning	Jun 12, 2022	Multiple Instance LearningPrediction	CodeCode Available	0
Multiple Instance Learning for Digital Pathology: A Review on the State-of-the-Art, Limitations & Future Potential	Jun 9, 2022	Multiple Instance Learning	—Unverified	0
Pancreatic Cancer ROSE Image Classification Based on Multiple Instance Learning with Shuffle Instances	Jun 7, 2022	Diagnosticimage-classification	—Unverified	0
Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology	Jun 3, 2022	Decision MakingMultiple Instance Learning	—Unverified	0
Point-Teaching: Weakly Semi-Supervised Object Detection with Point Annotations	Jun 1, 2022	Data AugmentationMultiple Instance Learning	—Unverified	0
A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations	May 31, 2022	Deep AttentionMultiple Instance Learning	—Unverified	0
Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning	May 30, 2022	Multiple Instance LearningReinforcement Learning (RL)	CodeCode Available	0
Learning Instance Representation Banks for Aerial Scene Classification	May 27, 2022	Aerial Scene ClassificationClassification	—Unverified	0
Attention Awareness Multiple Instance Neural Network	May 27, 2022	Multiple Instance Learning	—Unverified	0
Detection of Fights in Videos: A Comparison Study of Anomaly Detection and Action Recognition	May 23, 2022	Action RecognitionAnomaly Detection	—Unverified	0
Transformer based multiple instance learning for weakly supervised histopathology image segmentation	May 18, 2022	Image SegmentationMultiple Instance Learning	CodeCode Available	1
Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction	May 13, 2022	Inductive BiasMultiple Instance Learning	CodeCode Available	1
Scaling up sign spotting through sign language dictionaries	May 9, 2022	Multiple Instance Learning	—Unverified	0
All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene Classification	May 6, 2022	Aerial Scene ClassificationAll	CodeCode Available	0
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images	Apr 26, 2022	DiagnosticMultiple Instance Learning	—Unverified	0
Colorectal cancer survival prediction using deep distribution based multiple-instance learning	Apr 24, 2022	Deep LearningMultiple Instance Learning	—Unverified	0
Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification	Apr 22, 2022	Cancer ClassificationMultiple Instance Learning	—Unverified	0
Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information	Apr 21, 2022	Contrastive LearningMultiple Instance Learning	—Unverified	0
Spatial Likelihood Voting with Self-Knowledge Distillation for Weakly Supervised Object Detection	Apr 14, 2022	Knowledge DistillationMultiple Instance Learning	—Unverified	0
A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning	Apr 6, 2022	Binary ClassificationMultiple Instance Learning	—Unverified	0
Optimize Deep Learning Models for Prediction of Gene Mutations Using Unsupervised Clustering	Mar 31, 2022	ClusteringMultiple Instance Learning	—Unverified	0
A multi-stream deep neural network with late fuzzy fusion for real-world anomaly detection	Mar 27, 2022	Abnormal Event Detection In VideoAnomaly Detection	—Unverified	0
Learning to Predict RNA Sequence Expressions from Whole Slide Images with Applications for Search and Classification	Mar 26, 2022	Multiple Instance LearningPrognosis	—Unverified	0
Using Multiple Instance Learning for Explainable Solar Flare Prediction	Mar 25, 2022	Multiple Instance LearningPrediction	CodeCode Available	0
Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection	Mar 24, 2022	Anomaly DetectionMultiple Instance Learning	CodeCode Available	0
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning	Mar 23, 2022	Multiple Instance LearningSelf-Supervised Learning	CodeCode Available	1
Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection	Mar 23, 2022	Anomaly DetectionMultiple Instance Learning	CodeCode Available	1
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification	Mar 22, 2022	image-classificationImage Classification	CodeCode Available	1
Automated Detection of Acute Promyelocytic Leukemia in Blood Films and Bone Marrow Aspirates with Annotation-free Deep Learning	Mar 20, 2022	DiagnosticMultiple Instance Learning	—Unverified	0
Object Localization under Single Coarse Point Supervision	Mar 17, 2022	Multiple Instance LearningObject	CodeCode Available	0
Metastatic Cancer Outcome Prediction with Injective Multiple Instance Pooling	Mar 9, 2022	BenchmarkingManagement	—Unverified	0
Attention-effective multiple instance learning on weakly stem cell colony segmentation	Mar 9, 2022	Multiple Instance Learning	—Unverified	0

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All datasets CAMELYON16 TCGA Elephant Musk v1 Musk v2

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Snuffy (DINO Exhaustive)	AUC	0.99	—	Unverified
2	Snuffy (SimCLR Exhaustive)	AUC	0.97	—	Unverified
3	CAMIL	AUC	0.96	—	Unverified
4	CAMIL (CAMIL-L)	AUC	0.95	—	Unverified
5	CAMIL (CAMIL-G)	AUC	0.95	—	Unverified
6	DTFD-MIL (AFS)	AUC	0.95	—	Unverified
7	DTFD-MIL (MAS)	AUC	0.95	—	Unverified
8	DTFD-MIL (MaxMinS)	AUC	0.94	—	Unverified
9	TransMIL	AUC	0.93	—	Unverified
10	DSMIL-LC	AUC	0.92	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DTFD-MIL (MAS)	AUC	0.96	—	Unverified
2	DTFD-MIL (AFS)	ACC	0.95	—	Unverified
3	Snuffy (SimCLR Exhaustive)	ACC	0.95	—	Unverified
4	DSMIL-LC	ACC	0.93	—	Unverified
5	DSMIL	ACC	0.92	—	Unverified
6	DTFD-MIL (MaxMinS)	ACC	0.89	—	Unverified
7	TransMIL	ACC	0.88	—	Unverified
8	DTFD-MIL (MaxS)	ACC	0.87	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Snuffy	AUC	0.97	—	Unverified
2	DSMIL	ACC	0.93	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Snuffy	ACC	0.96	—	Unverified
2	DSMIL	ACC	0.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DSMIL	ACC	0.93	—	Unverified
2	Snuffy	ACC	0.79	—	Unverified