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Neural Network Optimization

4,155 papers

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Papers

Improved Asynchronous Parallel Optimization Analysis for Stochastic Incremental Methods JMLR 2018 Improving Deep Neural Network Sparsity through Decorrelation Regularization IJCAI 2018 Improving Neural Language Models with Weight Norm Initialization and Regularization EMNLP 2018 Improving Optimization for Models With Continuous Symmetry Breaking ICML 2018 Independently Recurrent Neural Network (IndRNN): Building a Longer and Deeper RNN CVPR 2018 Interleaved Structured Sparse Convolutional Neural Networks CVPR 2018 Interpretable Convolutional Neural Networks CVPR 2018 Interpretable Textual Neuron Representations for NLP EMNLP 2018 Investigating Capsule Networks with Dynamic Routing for Text Classification EMNLP 2018 Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks EMNLP 2018 ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing CVPR 2018 Joint Noise and Reverberation Adaptive Learning for Robust Speaker DOA Estimation with an Acoustic Vector Sensor Interspeech 2018 Kalman Normalization: Normalizing Internal Representations Across Network Layers NeurIPS 2018 L4: Practical loss-based stepsize adaptation for deep learning NeurIPS 2018 Large Margin Deep Networks for Classification NeurIPS 2018 Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method AISTATS 2018 Layer Trajectory LSTM Interspeech 2018 Learning Compressed Transforms with Low Displacement Rank NeurIPS 2018 Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for Sequences ACL 2018 Learning Longer-term Dependencies in RNNs with Auxiliary Losses ICML 2018 Learning Long Term Dependencies via Fourier Recurrent Units ICML 2018 Learning One-hidden-layer Neural Networks with Landscape Design ICLR 2018 Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data NeurIPS 2018 Learning Sparse Neural Networks through L_0 Regularization ICLR 2018 Learning Strict Identity Mappings in Deep Residual Networks CVPR 2018