Out-Of-Distribution Detection with Diversification (Provably)
–Neural Information Processing Systems
Out-of-distribution (OOD) detection is crucial for ensuring reliable deployment of machine learning models. Recent advancements focus on utilizing easily accessible auxiliary outliers (e.g., data from the web or other datasets) in training.
Neural Information Processing Systems
Nov-15-2025, 03:21:07 GMT
- Country:
- Asia > China > Tianjin Province > Tianjin (0.04)
- Genre:
- Research Report > Experimental Study (0.93)
- Industry:
- Information Technology (0.92)
- Technology:
- Information Technology
- Artificial Intelligence
- Machine Learning
- Neural Networks (1.00)
- Performance Analysis > Accuracy (1.00)
- Natural Language (1.00)
- Representation & Reasoning (0.93)
- Vision (1.00)
- Machine Learning
- Data Science > Data Mining (1.00)
- Sensing and Signal Processing > Image Processing (0.92)
- Artificial Intelligence
- Information Technology