no code implementations • 27 Jun 2022 • Gregory Ciccarelli, Jarred Barber, Arun Nair, Israel Cohen, Tao Zhang
We review current solutions and technical challenges for automatic speech recognition, keyword spotting, device arbitration, speech enhancement, and source localization in multidevice home environments to provide context for the INTERSPEECH 2022 special session, "Challenges and opportunities for signal processing and machine learning for multiple smart devices".
2 code implementations • 13 Jan 2022 • Peyman Bateni, Jarred Barber, Raghav Goyal, Vaden Masrani, Jan-Willem van de Meent, Leonid Sigal, Frank Wood
The first method, Simple CNAPS, employs a hierarchically regularized Mahalanobis-distance based classifier combined with a state of the art neural adaptive feature extractor to achieve strong performance on Meta-Dataset, mini-ImageNet and tiered-ImageNet benchmarks.
no code implementations • 8 Dec 2021 • Jarred Barber, Yifeng Fan, Tao Zhang
We introduce a variant of the speaker localization problem, which we call device arbitration.
2 code implementations • 28 Sep 2020 • Peyman Bateni, Jarred Barber, Jan-Willem van de Meent, Frank Wood
We propose a transductive meta-learning method that uses unlabelled instances to improve few-shot image classification performance.
2 code implementations • 17 Jun 2020 • Peyman Bateni, Jarred Barber, Jan-Willem van de Meent, Frank Wood
We develop a transductive meta-learning method that uses unlabelled instances to improve few-shot image classification performance.
Ranked #1 on
Few-Shot Image Classification
on Tiered ImageNet 10-way (1-shot)
(using extra training data)
no code implementations • 5 Jun 2020 • Jarred Barber
Gaussian processes are powerful models for probabilistic machine learning, but are limited in application by their $O(N^3)$ inference complexity.