Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples

Nov-14-2025, 04:34:20 GMT–Neural Information Processing Systems

We address this shortcoming by proposing a novel loss function for DPN to maximize the representation gap between in-domain and OOD examples.

artificial intelligence, dirichlet distribution, machine learning, (17 more...)

Neural Information Processing Systems

Nov-14-2025, 04:34:20 GMT

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Country:
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- Europe > United Kingdom
  - England > Cambridgeshire > Cambridge (0.04)
- North America > Canada
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    - Census Division No. 11 > Sturgeon County (0.04)
    - Census Division No. 13 > Westlock County (0.04)

Genre:
- Research Report (0.92)

Technology:
- Information Technology
  - Artificial Intelligence
    - Machine Learning
      - Learning Graphical Models > Directed Networks
        Bayesian Learning (0.46)
      - Neural Networks (1.00)
    - Representation & Reasoning > Uncertainty
      - Bayesian Inference (0.46)
    - Vision (0.68)
  - Sensing and Signal Processing > Image Processing (1.00)

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