Neural Networks

Improved MVDR Beamforming Using Single-Channel Mask Prediction Networks Interspeech 2016 Improved Neural Network Initialization by Grouping Context-Dependent Targets for Acoustic Modeling Interspeech 2016 Improved relation classification by deep recurrent neural networks with data augmentation COLING 2016 Improving English Conversational Telephone Speech Recognition Interspeech 2016 Improving historical spelling normalization with bi-directional LSTMs and multi-task learning COLING 2016 Improving Large Vocabulary Accented Mandarin Speech Recognition with Attribute-Based I-Vectors Interspeech 2016 Improving the Robustness of Deep Neural Networks via Stability Training CVPR 2016 Incremental Fine-grained Information Status Classification Using Attention-based LSTMs COLING 2016 Inferring Phonemic Classes from CNN Activation Maps Using Clustering Techniques Interspeech 2016 Inside-Outside Net: Detecting Objects in Context With Skip Pooling and Recurrent Neural Networks CVPR 2016 Integrated perception with recurrent multi-task neural networks NeurIPS 2016 Interaction Networks for Learning about Objects, Relations and Physics NeurIPS 2016 Inverting Visual Representations With Convolutional Networks CVPR 2016 Investigation of Semi-Supervised Acoustic Model Training Based on the Committee of Heterogeneous Neural Networks Interspeech 2016 Is an Image Worth More than a Thousand Words? On the Fine-Grain Semantic Differences between Visual and Linguistic Representations COLING 2016 Joint Learning of Local and Global Features for Entity Linking via Neural Networks COLING 2016 Joint Line Segmentation and Transcription for End-to-End Handwritten Paragraph Recognition NeurIPS 2016 Jointly Learning to Locate and Classify Words Using Convolutional Networks Interspeech 2016 Jointly Modeling Embedding and Translation to Bridge Video and Language CVPR 2016 Jointly Optimizing Activation Coefficients of Convolutive NMF Using DNN for Speech Separation Interspeech 2016 Keystroke dynamics as signal for shallow syntactic parsing COLING 2016 Knowledge-Driven Event Embedding for Stock Prediction COLING 2016 Knowledge Matters: Importance of Prior Information for Optimization JMLR 2016 Kyoto-NMT: a Neural Machine Translation implementation in Chainer COLING 2016 L1-regularized Neural Networks are Improperly Learnable in Polynomial Time ICML 2016