DenoiseRep: Denoising Model for Representation Learning
–Neural Information Processing Systems
The denoising model has been proven a powerful generative model but has little exploration of discriminative tasks. Representation learning is important in discriminative tasks, which is defined as "learning representations (or features) of
Neural Information Processing Systems
Oct-10-2025, 01:00:05 GMT
- Country:
- Asia > China
- Europe > Netherlands
- North Holland > Amsterdam (0.04)
- Genre:
- Research Report > Experimental Study (1.00)
- Industry:
- Education (0.67)
- Technology:
- Information Technology
- Artificial Intelligence
- Machine Learning
- Neural Networks > Deep Learning (0.93)
- Statistical Learning (0.67)
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- Vision (1.00)
- Machine Learning
- Data Science (1.00)
- Sensing and Signal Processing > Image Processing (1.00)
- Artificial Intelligence
- Information Technology