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09/12/2023
Long-term drought prediction using deep neural networks based on geospatial weather data
The accurate prediction of drought probability in specific regions is cr...
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08/22/2023
Uncertainty Estimation of Transformers' Predictions via Topological Analysis of the Attention Matrices
Determining the degree of confidence of deep learning model in its predi...
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03/01/2023
Label Attention Network for sequential multi-label classification
Multi-label classification is a natural problem statement for sequential...
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09/05/2022
ScaleFace: Uncertainty-aware Deep Metric Learning
The performance of modern deep learning-based systems dramatically depen...
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08/31/2022
QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noise
There is a constant need for high-performing and computationally efficie...
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06/04/2021
Principled change point detection via representation learning
Change points are abrupt alterations in the distribution of sequential d...
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04/03/2021
COHORTNEY: Deep Clustering for Heterogeneous Event Sequences
There is emerging attention towards working with event sequences. In par...
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07/20/2020
