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Dynamic Model Pruning with Feedback

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Sparse Hidden Markov Models for Exemplar-based Speech Recognition Using Deep Neural Network Posterior Features

Sparse Subspace Modeling for Query by Example Spoken Term Detection

ProteusTM: Abstraction Meets Performance in Transactional Memory

Sparse Hidden Markov Models for Exemplar-based Speech Recognition Using Deep Neural Network Posterior Features

On Compressibility of Neural Network phonological Features for Low Bit Rate Speech Coding

Visual crowding illustrates the inadequacy of local vs. global and feedforward vs. feedback distinctions in modeling visual perception

Sparse diffusion LMS for distributed adaptive estimation

Privacy-Sensitive Audio Features for Conversational Speech Processing

Privacy-Sensitive Audio Features for Conversational Speech Processing

Recent developments in reconfigurable reflectarrays

Sparse Hidden Markov Models for Exemplar-based Speech Recognition Using Deep Neural Network Posterior Features

Visual crowding illustrates the inadequacy of local vs. global and feedforward vs. feedback distinctions in modeling visual perception

Sparse diffusion LMS for distributed adaptive estimation

Sparse Subspace Modeling for Query by Example Spoken Term Detection

ProteusTM: Abstraction Meets Performance in Transactional Memory

Privacy-Sensitive Audio Features for Conversational Speech Processing

Privacy-Sensitive Audio Features for Conversational Speech Processing

Recent developments in reconfigurable reflectarrays

Sparse Hidden Markov Models for Exemplar-based Speech Recognition Using Deep Neural Network Posterior Features

On Compressibility of Neural Network phonological Features for Low Bit Rate Speech Coding