mlsanityData to 7 Oct 2026

Learning a Neural-network-based Representation for Open Set Recognition

arXiv 1802.04365 ↗First posted 12 Feb 2018cs.LG cs.CR stat.MLcited by 40

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Abstract (arXiv)

Open set recognition problems exist in many domains. For example in security, new malware classes emerge regularly; therefore malware classification systems need to identify instances from unknown classes in addition to discriminating between known classes. In this paper we present a neural network based representation for addressing the open set recognition problem. In this representation instances from the same class are close to each other while instances from different classes are further apart, resulting in statistically significant improvement when compared to other approaches on three datasets from two different domains.

Key facts. Cited by 40 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Feb 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 10; 2022: 9; 2023: 10; 2024: 2; 2025: 7; 2026: 2.

40 papers.

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  1. 2023Towards Open Vocabulary Learning: A Surveycited by 165
  2. 2021Open Domain Generalization with Domain-Augmented Meta-Learningcited by 115
  3. 2021Open-world Machine Learning: Applications, Challenges, and Opportunitiescited by 34
  4. 2021A Survey on Open Set Recognitioncited by 25
  5. 2021Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approachcited by 20
  6. 2021Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applicationscited by 14
  7. 2024Open World Object Detection: A Surveycited by 13
  8. 2023Glocal Energy-based Learning for Few-Shot Open-Set Recognitioncited by 10
  9. 2023MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognitioncited by 10
  10. 2023LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognitioncited by 10
  11. 2023A Survey on Open-Set Image Recognitioncited by 7
  12. 2023Open-Set Face Recognition with Maximal Entropy and Objectosphere Losscited by 5
28 more
  1. 2021Soccer Event Detection Using Deep Learningcited by 4
  2. 2021Non-Exhaustive Learning Using Gaussian Mixture Generative Adversarial Networkscited by 4
  3. 2021Adversarial Motorial Prototype Framework for Open Set Recognitioncited by 4
  4. 2023Learning Large Margin Sparse Embeddings for Open Set Medical Diagnosiscited by 3
  5. 2021Self-supervised Detransformation Autoencoder for Representation Learning in Open Set Recognitioncited by 2
  6. 2022Open-Set Recognition of Breast Cancer Treatmentscited by 2
  7. 2022Quality Monitoring and Assessment of Deployed Deep Learning Models for Network AIOpscited by 2
  8. 2022Representation learning with function call graph transformations for malware open set recognitioncited by 2
  9. 2022Semantic Driven Energy based Out-of-Distribution Detectioncited by 2
  10. 2023Zero-Knowledge Zero-Shot Learning for Novel Visual Category Discoverycited by 2
  11. 2021Thinkback: Task-SpecificOut-of-Distribution Detectioncited by 1
  12. 2022Fast and Automatic Object Registration for Human-Robot Collaboration in Industrial Manufacturingcited by 1
  13. 2025Proxy-Anchor and EVT-Driven Continual Learning Method for Generalized Category Discoverycited by 1
  14. 2025Malware families discovery via Open-Set Recognition on Android manifest permissionscited by 1
  15. 2025Hi-OSCAR: Hierarchical Open-set Classifier for Human Activity Recognitioncited by 1
  16. 2026A Novel Contrastive Loss for Zero-Day Network Intrusion Detectioncited by 1
  17. 2022Addressing Randomness in Evaluation Protocols for Out-of-Distribution Detectioncited by 0
  18. 2022Orthogonal-Coding-Based Feature Generation for Transductive Open-Set Recognition via Dual-Space Consistent Samplingcited by 0
  19. 2022Feature Decoupling in Self-supervised Representation Learning for Open Set Recognitioncited by 0
  20. 2022Accurate Open-set Recognition for Memory Workloadcited by 0
  21. 2023OpenAPMax: Abnormal Patterns-based Model for Real-World Alzheimer's Disease Diagnosiscited by 0
  22. 2023OpenIncrement: A Unified Framework for Open Set Recognition and Deep Class-Incremental Learningcited by 0
  23. 2024Know Yourself Better: Diverse Object-Related Features Improve Open Set Recognitioncited by 0
  24. 2025Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentationcited by 0
  25. 2025Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learningcited by 0
  26. 2025Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clusteringcited by 0
  27. 2025Contrastive Self-Supervised Network Intrusion Detection using Augmented Negative Pairscited by 0
  28. 2026Few-Shot Network Intrusion Detection Using Online Triplet Miningcited by 0