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Found 7 papers, 1 papers with code
QbyE-MLPMixer: Query-by-Example Open-Vocabulary Keyword Spotting using MLPMixer
Current keyword spotting systems are typically trained with a large amount of pre-defined keywords.
Query-by-Example Keyword Spotting system using Multi-head Attention and Softtriple Loss
This paper proposes a neural network architecture for tackling the query-by-example user-defined keyword spotting task.
On the role of data in PAC-Bayes bounds
In this work, we show that the bound based on the oracle prior can be suboptimal: In some cases, a stronger bound is obtained by using a data-dependent oracle prior, i. e., a conditional expectation of the posterior, given a subset of the training data that is then excluded from the empirical risk term.
On the effectiveness of task granularity for transfer learning
We describe a DNN for video classification and captioning, trained end-to-end, with shared features, to solve tasks at different levels of granularity, exploring the link between granularity in a source task and the quality of learned features for transfer learning.
Deep Learning Models For Multiword Expression Identification
Multiword expressions (MWEs) are lexical items that can be decomposed into multiple component words, but have properties that are unpredictable with respect to their component words.
