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Dynamic Model Pruning with Feedback

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Dynamic Model Pruning with Feedback

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Sparse Subspace Modeling for Query by Example Spoken Term Detection

Evolution of Neural Network Architectures for Speech Recognition

Statistically-Motivated Second-order Pooling

Real-time DCT Learning-based Reconstruction of Neural Signals

Learning the weight matrix for sparsity averaging in compressive imaging

Low-rank and Sparse Soft Targets to Learn Better DNN Acoustic Models

Subspace Detection of DNN Posterior Probabilities via Sparse Representation for Query by Example Spoken Term Detection

Theory of representation learning in cortical neural networks

Exploiting Low-dimensional Structures to Enhance DNN based Acoustic Modeling in Speech Recognition

Exploiting Low-dimensional Structures to Enhance DNN based Acoustic Modeling in Speech Recognition

Evolution of Neural Network Architectures for Speech Recognition

Exploiting Low-dimensional Structures to Enhance DNN based Acoustic Modeling in Speech Recognition

Theory of representation learning in cortical neural networks

Statistically-Motivated Second-order Pooling

Real-time DCT Learning-based Reconstruction of Neural Signals

Sparse Subspace Modeling for Query by Example Spoken Term Detection

Learning the weight matrix for sparsity averaging in compressive imaging

Subspace Detection of DNN Posterior Probabilities via Sparse Representation for Query by Example Spoken Term Detection

Low-rank and Sparse Soft Targets to Learn Better DNN Acoustic Models

Exploiting Low-dimensional Structures to Enhance DNN based Acoustic Modeling in Speech Recognition