Neural Network Optimization

On the Convergence Properties of a K-step Averaging Stochastic Gradient Descent Algorithm for Nonconvex Optimization IJCAI 2018 On the Implicit Bias of Dropout ICML 2018 On the Local Hessian in Back-propagation NeurIPS 2018 On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization ICML 2018 Open Problems in Speech Recognition Interspeech 2018 Optimization based Layer-wise Magnitude-based Pruning for DNN Compression IJCAI 2018 Optimization Landscape and Expressivity of Deep CNNs ICML 2018 Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition CVPR 2018 Orthogonal Recurrent Neural Networks with Scaled Cayley Transform ICML 2018 Output-Gate Projected Gated Recurrent Unit for Speech Recognition Interspeech 2018 PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection CVPR 2018 Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing ACL 2018 Porcupine Neural Networks: Approximating Neural Network Landscapes NeurIPS 2018 Prediction of Perceived Speech Quality Using Deep Machine Listening Interspeech 2018 PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning ICML 2018 Progressive Blockwise Knowledge Distillation for Neural Network Acceleration IJCAI 2018 Pyramidal Recurrent Unit for Language Modeling EMNLP 2018 Randomized Block Cubic Newton Method ICML 2018 Refine or Represent: Residual Networks with Explicit Channel-wise Configuration IJCAI 2018 Regularizing by the Variance of the Activations' Sample-Variances NeurIPS 2018 Removing the Feature Correlation Effect of Multiplicative Noise NeurIPS 2018 Reproducing and Regularizing the SCRN Model COLING 2018 Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes NeurIPS 2018 Robust and Scalable Differentiable Neural Computer for Question Answering ACL 2018 Role of Regularization in the Prediction of Valence from Speech Interspeech 2018