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Deep Learning

1,883 papers

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Papers

Adaptation of Neural Networks Constrained by Prior Statistics of Node Co-Activations Interspeech 2016 A Hierarchical Predictor of Synthetic Speech Naturalness Using Neural Networks Interspeech 2016 A KL Divergence and DNN-Based Approach to Voice Conversion without Parallel Training Sentences Interspeech 2016 A Theory of Generative ConvNet ICML 2016 Automatic Classification of Lexical Stress in English and Arabic Languages Using Deep Learning Interspeech 2016 Bottom-Up and Top-Down Reasoning With Hierarchical Rectified Gaussians CVPR 2016 Collaborative Recurrent Neural Networks for Dynamic Recommender Systems ACML 2016 Combining Non-Pathological Data of Different Language Varieties to Improve DNN-HMM Performance on Pathological Speech Interspeech 2016 Consensus Attention-based Neural Networks for Chinese Reading Comprehension COLING 2016 Convolutional Neural Networks with Data Augmentation for Classifying Speakers’ Native Language Interspeech 2016 D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images CVPR 2016 Deceptive Opinion Spam Detection Using Neural Network COLING 2016 Deep ADMM-Net for Compressive Sensing MRI NeurIPS 2016 Deep Gate Recurrent Neural Network ACML 2016 Detecting Sentence Boundaries in Sanskrit Texts COLING 2016 Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural Network COLING 2016 DNN-Based Feature Enhancement Using Joint Training Framework for Robust Multichannel Speech Recognition Interspeech 2016 Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning ICML 2016 Echo State Hoeffding Tree Learning ACML 2016 End-To-End Saliency Mapping via Probability Distribution Prediction CVPR 2016 F0Contour Analysis Based on Empirical Mode Decomposition for DNN Acoustic Modeling in Mandarin Speech Recognition Interspeech 2016 Hashtag Recommendation with Topical Attention-Based LSTM COLING 2016 Improved MVDR Beamforming Using Single-Channel Mask Prediction Networks Interspeech 2016 Inference Networks for Sequential Monte Carlo in Graphical Models ICML 2016 Investigation of Semi-Supervised Acoustic Model Training Based on the Committee of Heterogeneous Neural Networks Interspeech 2016