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neural network optimization

1,462 papers

Papers

Lipschitz regularity of deep neural networks: analysis and efficient estimation NeurIPS 2018 Maximum Principle Based Algorithms for Deep Learning JMLR 2018 Model-free, Model-based, and General Intelligence IJCAI 2018 NISP: Pruning Networks Using Neuron Importance Score Propagation CVPR 2018 On the Local Hessian in Back-propagation NeurIPS 2018 On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization ICML 2018 Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition CVPR 2018 Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training NeurIPS 2018 Porcupine Neural Networks: Approximating Neural Network Landscapes NeurIPS 2018 Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization NeurIPS 2018 Removing the Feature Correlation Effect of Multiplicative Noise NeurIPS 2018 Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions CVPR 2018 Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks IJCAI 2018 Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip ICLR 2018 Speech Intelligibility Enhancement Based on a Non-causal Wavenet-like Model Interspeech 2018 Spotlight: Optimizing Device Placement for Training Deep Neural Networks ICML 2018 Stabilizing Adversarial Nets with Prediction Methods ICLR 2018 Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks ICLR 2018 Surprising properties of dropout in deep networks JMLR 2018 Synaptic Strength For Convolutional Neural Network NeurIPS 2018 The Lovász-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks CVPR 2018 The Spectrum of the Fisher Information Matrix of a Single-Hidden-Layer Neural Network NeurIPS 2018 Towards a Mathematical Understanding of the Difficulty in Learning With Feedforward Neural Networks CVPR 2018 Towards Effective Low-Bitwidth Convolutional Neural Networks CVPR 2018 Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization CVPR 2018