research
∙
11/16/2021
Assessing Deep Neural Networks as Probability Estimators
Deep Neural Networks (DNNs) have performed admirably in classification t...
share
research
∙
09/18/2021
Fast query-by-example speech search using separable model
Traditional Query-by-Example (QbE) speech search approaches usually use ...
research
∙
08/19/2021
Residual Tensor Train: a Flexible and Efficient Approach for Learning Multiple Multilinear Correlations
Tensor Train (TT) approach has been successfully applied in the modellin...
research
∙
03/08/2021
Detecting quantum entanglement with unsupervised learning
Quantum properties, such as entanglement and coherence, are indispensabl...
research
∙
01/25/2021
Spectrum Attention Mechanism for Time Series Classification
Time series classification(TSC) has always been an important and challen...
research
∙
08/23/2020
Quantum Language Model with Entanglement Embedding for Question Answering
Quantum Language Models (QLMs) in which words are modelled as quantum su...
research
∙
07/08/2020
Making Adversarial Examples More Transferable and Indistinguishable
Many previous methods generate adversarial examples based on the fast gr...
research
∙
03/26/2019
