2016

DNN architecture

• Ying Zhang et al. Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks
• ICLR2017: OUTRAGEOUSLY LARGE NEURAL NETWORKS: THE SPARSELY-GATED MIXTURE-OF-EXPERTS LAYER
• lightRNN from microsoft
• Kaiming He et al. Deep Residual Learning for Image Recognition
• Wei-Ning Hsu et al. Exploiting Depth and Highway Connections in Convolutional Recurrent Deep Neural Networks for Speech Recognition
• MICRO 2016
• Cambricon-X: An Accelerator for Sparse Neural Networks
• revise saturated activation functions

Visualization

• Visualizing and Understanding Genomic Sequences Using Deep Neural Networks
• On the Role of Nonlinear Transformations in Deep Neural Network Acoustic Models
• Understanding_intermediate_layers_using_linear_classifier_probes

Speaker recognition

• INTERSPEECH 2016 Fri-O-2-2 :Special Session: The RedDots Challenge: Towards Characterizing Speakers from Short Utterances
• INTERSPEECH 2016 Fri-O-3-2 : Special Session: The Speakers in the Wild (SITW) Speaker Recognition Challenge

Review

• Zhiyuan Tang 20160520 - ICASSP 2016 summary
• Zhiyuan Tang 20160802 - Visualizing, Measuring and Understanding Neural Networks: A Brief Survey
• Zhiyuan Tang 20161122 - INTERSPEECH 2016 summary