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06/01/2023
Constructing Semantics-Aware Adversarial Examples with Probabilistic Perspective
In this study, we introduce a novel, probabilistic viewpoint on adversar...
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05/26/2023
SR-OOD: Out-of-Distribution Detection via Sample Repairing
It is widely reported that deep generative models can classify out-of-di...
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10/23/2022
Falsehoods that ML researchers believe about OOD detection
An intuitive way to detect out-of-distribution (OOD) data is via the den...
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06/08/2022
Out-of-Distribution Detection with Class Ratio Estimation
Density-based Out-of-distribution (OOD) detection has recently been show...
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06/02/2022
A Dual-fusion Semantic Segmentation Framework With GAN For SAR Images
Deep learning based semantic segmentation is one of the popular methods ...
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09/04/2021
On the Out-of-distribution Generalization of Probabilistic Image Modelling
Out-of-distribution (OOD) detection and lossless compression constitute ...
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09/01/2021
Measuring Uncertainty in Signal Fingerprinting with Gaussian Processes Going Deep
In indoor positioning, signal fluctuation is highly location-dependent. ...
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08/07/2017
Memory-augmented Neural Machine Translation
Neural machine translation (NMT) has achieved notable success in recent ...
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05/10/2017