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Found 2 papers, 2 papers with code
Density-Softmax: Scalable and Calibrated Uncertainty Estimation under Distribution Shifts
In this paper, we propose Density-Softmax, a fast and lightweight deterministic method to improve calibrated uncertainty estimation via a combination of density function with the softmax layer.
Benchmark for Uncertainty & Robustness in Self-Supervised Learning
Self-Supervised Learning (SSL) is crucial for real-world applications, especially in data-hungry domains such as healthcare and self-driving cars.
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