Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

Citation edge evidence

Each row is directed from the citing work to the cited work. Source status remains readable without the interactive graph.

• Adam: A Method for Stochastic Optimization→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Deep learning in neural networks: An overview→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Distilling the Knowledge in a Neural Network→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Machine learning: Trends, perspectives, and prospects→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• A Comprehensive Survey on Graph Neural Networks→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Speech recognition with deep recurrent neural networks→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Intriguing properties of neural networks→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• A guide to deep learning in healthcare→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Deep Learning in Medical Image Analysis→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• mixup: Beyond Empirical Risk Minimization→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Neural Architecture Search with Reinforcement Learning→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• A Comprehensive Survey on Graph Neural Networks→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• A survey of deep neural network architectures and their applications→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Deep learning for healthcare: review, opportunities and challenges→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Human-level concept learning through probabilistic program induction→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Structural Deep Network Embedding→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Deep learning and its applications to machine health monitoring→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Spectral Networks and Locally Connected Networks on Graphs→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Deep learning applications and challenges in big data analytics→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Listen, attend and spell: A neural network for large vocabulary conversational speech rec…→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Privacy-Preserving Deep Learning→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Convolutional Neural Networks for Speech Recognition→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Learning deep structured semantic models for web search using clickthrough data→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Probabilistic machine learning and artificial intelligence→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Hybrid speech recognition with Deep Bidirectional LSTM→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Advances in natural language processing→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
• Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
• Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…→Understanding the difficulty of training deep feedforward neural networksLegacy edge — source detail unavailable
• Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…→Training Products of Experts by Minimizing Contrastive DivergenceLegacy edge — source detail unavailable
• Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• Adam: A Method for Stochastic Optimization→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• Adam: A Method for Stochastic Optimization→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
• Understanding the difficulty of training deep feedforward neural networks→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
• Understanding the difficulty of training deep feedforward neural networks→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Machine learning: Trends, perspectives, and prospects→Deep learning in neural networks: An overviewLegacy edge — source detail unavailable
• Machine learning: Trends, perspectives, and prospects→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• Acoustic Modeling Using Deep Belief Networks→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• Acoustic Modeling Using Deep Belief Networks→Training Products of Experts by Minimizing Contrastive DivergenceLegacy edge — source detail unavailable
• Acoustic Modeling Using Deep Belief Networks→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Acoustic Modeling Using Deep Belief Networks→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• Convolutional Neural Networks for Speech Recognition→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• Convolutional Neural Networks for Speech Recognition→Training Products of Experts by Minimizing Contrastive DivergenceLegacy edge — source detail unavailable
• Convolutional Neural Networks for Speech Recognition→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• Hybrid speech recognition with Deep Bidirectional LSTM→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• Hybrid speech recognition with Deep Bidirectional LSTM→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
• Privacy-Preserving Deep Learning→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
• Deep learning in neural networks: An overview→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• Deep learning in neural networks: An overview→Training Products of Experts by Minimizing Contrastive DivergenceLegacy edge — source detail unavailable
• Deep learning in neural networks: An overview→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Deep learning in neural networks: An overview→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
• Deep learning in neural networks: An overview→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• Reducing the Dimensionality of Data with Neural Networks→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Deep learning applications and challenges in big data analytics→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• Deep learning applications and challenges in big data analytics→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• Deep learning applications and challenges in big data analytics→Training Products of Experts by Minimizing Contrastive DivergenceLegacy edge — source detail unavailable
• Deep learning applications and challenges in big data analytics→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Deep learning applications and challenges in big data analytics→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• Learning deep structured semantic models for web search using clickthrough data→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• A Fast Learning Algorithm for Deep Belief Nets→Training Products of Experts by Minimizing Contrastive DivergenceLegacy edge — source detail unavailable
• Speech recognition with deep recurrent neural networks→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
• Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition→Understanding the difficulty of training deep feedforward neural networksLegacy edge — source detail unavailable
• Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition→Training Products of Experts by Minimizing Contrastive DivergenceLegacy edge — source detail unavailable
• Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Human-level concept learning through probabilistic program induction→Probabilistic machine learning and artificial intelligenceLegacy edge — source detail unavailable
• DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks→Intriguing properties of neural networksLegacy edge — source detail unavailable
• Listen, attend and spell: A neural network for large vocabulary conversational speech rec…→Hybrid speech recognition with Deep Bidirectional LSTMLegacy edge — source detail unavailable
• Listen, attend and spell: A neural network for large vocabulary conversational speech rec…→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
• Structural Deep Network Embedding→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• Structural Deep Network Embedding→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Deep Learning in Medical Image Analysis→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
• Deep Learning in Medical Image Analysis→Understanding the difficulty of training deep feedforward neural networksLegacy edge — source detail unavailable
• Deep Learning in Medical Image Analysis→Deep learning in neural networks: An overviewLegacy edge — source detail unavailable
• Deep Learning in Medical Image Analysis→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• Deep Learning in Medical Image Analysis→Training Products of Experts by Minimizing Contrastive DivergenceLegacy edge — source detail unavailable
• Deep Learning in Medical Image Analysis→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Neural Architecture Search with Reinforcement Learning→Human-level concept learning through probabilistic program inductionLegacy edge — source detail unavailable
• A survey of deep neural network architectures and their applications→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• A survey of deep neural network architectures and their applications→Deep learning in neural networks: An overviewLegacy edge — source detail unavailable
• A survey of deep neural network architectures and their applications→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• A survey of deep neural network architectures and their applications→Training Products of Experts by Minimizing Contrastive DivergenceLegacy edge — source detail unavailable
• A survey of deep neural network architectures and their applications→Deep learning applications and challenges in big data analyticsLegacy edge — source detail unavailable
• A survey of deep neural network architectures and their applications→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• A survey of deep neural network architectures and their applications→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• Deep learning for healthcare: review, opportunities and challenges→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
• Deep learning for healthcare: review, opportunities and challenges→Machine learning: Trends, perspectives, and prospectsLegacy edge — source detail unavailable
• Deep learning for healthcare: review, opportunities and challenges→Convolutional Neural Networks for Speech RecognitionLegacy edge — source detail unavailable
• Deep learning for healthcare: review, opportunities and challenges→Privacy-Preserving Deep LearningLegacy edge — source detail unavailable
• Deep learning for healthcare: review, opportunities and challenges→Deep learning in neural networks: An overviewLegacy edge — source detail unavailable
• Deep learning for healthcare: review, opportunities and challenges→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• Deep learning for healthcare: review, opportunities and challenges→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Deep learning and its applications to machine health monitoring→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• Deep learning and its applications to machine health monitoring→Deep learning in neural networks: An overviewLegacy edge — source detail unavailable
• Deep learning and its applications to machine health monitoring→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• A guide to deep learning in healthcare→Advances in natural language processingLegacy edge — source detail unavailable
• A Comprehensive Survey on Graph Neural Networks→Structural Deep Network EmbeddingLegacy edge — source detail unavailable
• Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
• Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey→Intriguing properties of neural networksLegacy edge — source detail unavailable
• Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey→Deep learning applications and challenges in big data analyticsLegacy edge — source detail unavailable
• Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey→DeepFool: A Simple and Accurate Method to Fool Deep Neural NetworksLegacy edge — source detail unavailable
• Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models→Adam: A Method for Stochastic OptimizationLegacy edge — source detail unavailable
• A Comprehensive Survey on Graph Neural Networks→Spectral Networks and Locally Connected Networks on GraphsLegacy edge — source detail unavailable
• A Comprehensive Survey on Graph Neural Networks→Structural Deep Network EmbeddingLegacy edge — source detail unavailable