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11/21/2022
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings
Multi-task learning is central to many real-world applications. Unfortun...
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11/21/2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference
Whereas the ability of deep networks to produce useful predictions on ma...
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10/18/2022
How to Boost Face Recognition with StyleGAN?
State-of-the-art face recognition systems require huge amounts of labele...
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09/28/2021
DEBOSH: Deep Bayesian Shape Optimization
Shape optimization is at the heart of many industrial applications, such...
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03/30/2021
Leveraging Self-Supervision for Cross-Domain Crowd Counting
State-of-the-art methods for counting people in crowded scenes rely on d...
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12/15/2020
Masksembles for Uncertainty Estimation
Deep neural networks have amply demonstrated their prowess but estimatin...
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11/20/2018
