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09/17/2023
Enhancing Quantised End-to-End ASR Models via Personalisation
Recent end-to-end automatic speech recognition (ASR) models have become ...
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05/31/2022
Hierarchical Spherical CNNs with Lifting-based Adaptive Wavelets for Pooling and Unpooling
Pooling and unpooling are two essential operations in constructing hiera...
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04/27/2022
LiftPool: Lifting-based Graph Pooling for Hierarchical Graph Representation Learning
Graph pooling has been increasingly considered for graph neural networks...
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09/03/2021
Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding
Lack of training data presents a grand challenge to scaling out spoken l...
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08/03/2021
Spectral Graph Convolutional Networks With Lifting-based Adaptive Graph Wavelets
Spectral graph convolutional networks (SGCNs) have been attracting incre...
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01/09/2020
Spatial-Temporal Transformer Networks for Traffic Flow Forecasting
Traffic forecasting has emerged as a core component of intelligent trans...
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11/17/2016