Learning Discrete Concepts in Latent Hierarchical Models
–Neural Information Processing Systems
Learning concepts from natural high-dimensional data (e.g., images) holds potential
Neural Information Processing Systems
Feb-11-2026, 21:06:35 GMT
- Country:
- Asia > Japan
- Honshū > Tōhoku > Iwate Prefecture > Morioka (0.04)
- Europe > United Kingdom
- England > Cambridgeshire > Cambridge (0.04)
- North America > United States
- California > San Diego County
- San Diego (0.04)
- Georgia > Fulton County
- Atlanta (0.04)
- California > San Diego County
- Asia > Japan
- Genre:
- Research Report > Experimental Study (1.00)
- Industry:
- Technology:
- Information Technology > Artificial Intelligence
- Machine Learning
- Learning Graphical Models (0.67)
- Neural Networks (1.00)
- Statistical Learning (0.92)
- Natural Language (1.00)
- Representation & Reasoning > Uncertainty (0.93)
- Vision (1.00)
- Machine Learning
- Information Technology > Artificial Intelligence