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09/05/2023
TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-device ASR Models
Automatic Speech Recognition (ASR) models need to be optimized for speci...
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07/21/2023
Prompting Large Language Models with Speech Recognition Abilities
Large language models have proven themselves highly flexible, able to so...
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05/21/2023
Multi-Head State Space Model for Speech Recognition
State space models (SSMs) have recently shown promising results on small...
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10/20/2022
Anchored Speech Recognition with Neural Transducers
Neural transducers have gained popularity in production ASR systems, ach...
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07/22/2022
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective
Graph neural networks (GNNs) have shown superiority in many prediction t...
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03/30/2022
Federated Domain Adaptation for ASR with Full Self-Supervision
Cross-device federated learning (FL) protects user privacy by collaborat...
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06/06/2021
Graph Belief Propagation Networks
With the wide-spread availability of complex relational data, semi-super...
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01/19/2021
A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations
Semi-supervised learning on graphs is a widely applicable problem in net...
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02/19/2020
Outcome Correlation in Graph Neural Network Regression
Graph neural networks aggregate features in vertex neighborhoods to lear...
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05/24/2019
Neural Jump Stochastic Differential Equations
Many time series can be effectively modeled with a combination of contin...
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05/17/2019
