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Open Set Learning

Traditional supervised learning aims to train a classifier in the closed-set world, where training and test samples share the same label space. Open set learning (OSL) is a more challenging and realistic setting, where there exist test samples from the classes that are unseen during training. Open set recognition (OSR) is the sub-task of detecting test samples which do not come from the training.

Papers

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Showing 201–225 of 267 papers

TitleStatusHype
OpenClinicalAI: An Open and Dynamic Model for Alzheimer's Disease Diagnosis—0
openFEAT: Improving Speaker Identification by Open-set Few-shot Embedding Adaptation with Transformer—0
Open Long-Tailed Recognition in a Dynamic World—0
OpenNDD: Open Set Recognition for Neurodevelopmental Disorders Detection—0
Open-Set Facial Expression Recognition—0
Open Set Learning with Counterfactual Images—0
Open Set Medical Diagnosis—0
Open-Set Object Recognition Using Mechanical Properties During Interaction—0
Open-Set Plankton Recognition—0
Open Set Recognition For Music Genre Classification—0
Open-Set Recognition of Breast Cancer Treatments—0
Open-Set Recognition of Novel Species in Biodiversity Monitoring—0
Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers?—0
LEGO-Learn: Label-Efficient Graph Open-Set LearningCode0
Deep CNN-based Multi-task Learning for Open-Set RecognitionCode0
SphOR: A Representation Learning Perspective on Open-set Recognition for Identifying Unknown Classes in Deep Learning ModelsCode0
Vocabulary-informed Zero-shot and Open-set LearningCode0
Towards Novel Target Discovery Through Open-Set Domain AdaptationCode0
Synthetic Non-stationary Data Streams for Recognition of the UnknownCode0
Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-Shot Open-Set RecognitionCode0
Deep Active Learning via Open Set RecognitionCode0
CNS-Net: Conservative Novelty Synthesizing Network for Malware Recognition in an Open-set ScenarioCode0
Open-Set Semi-Supervised Learning for Long-Tailed Medical DatasetsCode0
3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point CloudsCode0
Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain GeneralizationCode0
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