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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 176–200 of 267 papers

TitleStatusHype
Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting—0
Test Time Transform Prediction for Open Set Histopathological Image RecognitionCode0
Open-Set Recognition with Gradient-Based Representations—0
OOD Augmentation May Be at Odds with Open-Set Recognition—0
Exploring the Open World Using Incremental Extreme Value MachinesCode0
Evaluating Uncertainty Calibration for Open-Set Recognition—0
Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training—0
Representation learning with function call graph transformations for malware open set recognition—0
Prototype-based Domain Generalization Framework for Subject-Independent Brain-Computer Interfaces—0
Open-set Recognition via Augmentation-based Similarity Learning—0
PMAL: Open Set Recognition via Robust Prototype Mining—0
openFEAT: Improving Speaker Identification by Open-set Few-shot Embedding Adaptation with Transformer—0
Open-Set Recognition of Breast Cancer Treatments—0
Synthetic Unknown Class Learning for Learning Unknowns—0
Latent Cognizance: What Machine Really Learns—0
Evaluation of Various Open-Set Medical Imaging Tasks with Deep Neural Networks—0
Distance-Based Background Class Regularization for Open-Set Recognition—0
Generalizing Cross Entropy Loss with a Beta Proper Composite Loss: An Improved Loss Function for Open Set Recognition—0
A novel network training approach for open set image recognition—0
Recognition Awareness: An Application of Latent Cognizance to Open-Set Recognition—0
An Adaptable Deep Learning-Based Intrusion Detection System to Zero-Day Attacks—0
A Survey on Open Set Recognition—0
M2IOSR: Maximal Mutual Information Open Set Recognition—0
Reconstruction guided Meta-learning for Few Shot Open Set Recognition—0
Non-Exhaustive Learning Using Gaussian Mixture Generative Adversarial NetworksCode0
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