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Model Architecture

4351 directly classified papers

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Papers

Locally Smoothed Neural Networks ACML 2017
Scale-Invariant Recognition by Weight-Shared CNNs in Parallel ACML 2017
Exploring Different Dimensions of Attention for Uncertainty Detection EACL 2017
Text Sentiment Analysis based on Fusion of Structural Information and Serialization Information IJCNLP 2017
Convolutional Neural Network Architecture for Geometric Matching CVPR 2017
YNU-HPCC at IJCNLP-2017 Task 5: Multi-choice Question Answering in Exams Using an Attention-based LSTM Model IJCNLP 2017
Lexical Simplification with Neural Ranking EACL 2017
Attentive Language Models IJCNLP 2017
On the Appropriateness of Complex-Valued Neural Networks for Speech Enhancement INTERSPEECH 2016
Adaptation of Neural Networks Constrained by Prior Statistics of Node Co-Activations INTERSPEECH 2016
Neural Module Networks CVPR 2016
Exploiting Depth and Highway Connections in Convolutional Recurrent Deep Neural Networks for Speech Recognition INTERSPEECH 2016
Discrete Deep Feature Extraction: A Theory and New Architectures ICML 2016
Training Deep Neural Networks via Direct Loss Minimization ICML 2016
On the Efficient Representation and Execution of Deep Acoustic Models INTERSPEECH 2016
Multi-Attribute Factorized Hidden Layer Adaptation for DNN Acoustic Models INTERSPEECH 2016
Acoustic Modelling from the Signal Domain Using CNNs INTERSPEECH 2016
Audio-Visual Speech Recognition Using Bimodal-Trained Bottleneck Features for a Person with Severe Hearing Loss INTERSPEECH 2016
Advances in Very Deep Convolutional Neural Networks for LVCSR INTERSPEECH 2016
Complex Linear Projection (CLP): A Discriminative Approach to Joint Feature Extraction and Acoustic Modeling INTERSPEECH 2016
Context-Sensitive and Role-Dependent Spoken Language Understanding Using Bidirectional and Attention LSTMs INTERSPEECH 2016
Using Text and Acoustic Features in Predicting Glottal Excitation Waveforms for Parametric Speech Synthesis with Recurrent Neural Networks INTERSPEECH 2016
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree AISTATS 2016
Convolutional Rectifier Networks as Generalized Tensor Decompositions ICML 2016
Deep Convolutional Neural Networks with Layer-Wise Context Expansion and Attention INTERSPEECH 2016