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COMPARISON OF SUBWORD SEGMENTATION METHODS FOR OPEN-VOCABULARYEND-TO-END SPEECH RECOGNITION

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COMPARISON OF SUBWORD SEGMENTATION METHODS FOR OPEN-VOCABULARYEND-TO-END SPEECH RECOGNITION

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Regularization of polynomial networks for image recognition

Regularization of polynomial networks for image recognition

Controllability and Interpretability in Affective Speech Synthesis

Crowding and the importance of grouping and segmentation processes in human vision

A unified framework for Hamiltonian deep neural networks

On the Recognition Performance of BioHashing on state-of-the-art Face Recognition models

Comparison of Subword Segmentation Methods for Open-vocabulary ASR using a Difficulty Metric

Multilingual Training and Adaptation in Speech Recognition

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The Unstoppable Rise of Computational Linguistics in Deep Learning

Regularization of polynomial networks for image recognition

Regularization of polynomial networks for image recognition

Controllability and Interpretability in Affective Speech Synthesis

Crowding and the importance of grouping and segmentation processes in human vision

On the Recognition Performance of BioHashing on state-of-the-art Face Recognition models

A unified framework for Hamiltonian deep neural networks

The Unstoppable Rise of Computational Linguistics in Deep Learning

Multilingual Training and Adaptation in Speech Recognition

Supplementary Material - AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks

Comparison of Subword Segmentation Methods for Open-vocabulary ASR using a Difficulty Metric