neural network optimization

Towards Semi-Supervised Learning for Deep Semantic Role Labeling EMNLP 2018 Training wide residual networks for deployment using a single bit for each weight ICLR 2018 Understanding Generalization and Optimization Performance of Deep CNNs ICML 2018 Accumulated Gradient Normalization ACML 2017 All You Need Is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks With Orthonormality and Modulation CVPR 2017 An experimental analysis of Noise-Contrastive Estimation: the noise distribution matters EACL 2017 Automated Curriculum Learning for Neural Networks ICML 2017 Backstitch: Counteracting Finite-Sample Bias via Negative Steps Interspeech 2017 Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models NeurIPS 2017 Compression-aware Training of Deep Networks NeurIPS 2017 CTC in the Context of Generalized Full-Sum HMM Training Interspeech 2017 Decoupled Neural Interfaces using Synthetic Gradients ICML 2017 Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning CVPR 2017 Diverse Neural Network Learns True Target Functions AISTATS 2017 EigenNet: Towards Fast and Structural Learning of Deep Neural Networks IJCAI 2017 Failures of Gradient-Based Deep Learning ICML 2017 Follow the Moving Leader in Deep Learning ICML 2017 Gradient descent GAN optimization is locally stable NeurIPS 2017 Improving Training of Deep Neural Networks via Singular Value Bounding CVPR 2017 Learning Gradient Descent: Better Generalization and Longer Horizons ICML 2017 Learning RBM with a DC programming Approach ACML 2017 Learning ReLUs via Gradient Descent NeurIPS 2017 Local Binary Convolutional Neural Networks CVPR 2017 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting ICML 2017 More Is Less: A More Complicated Network With Less Inference Complexity CVPR 2017