neural network optimization

Limitations of the empirical Fisher approximation for natural gradient descent NeurIPS 2019 Making Asynchronous Stochastic Gradient Descent Work for Transformers EMNLP 2019 MBS: Macroblock Scaling for CNN Model Reduction CVPR 2019 Meta Architecture Search NeurIPS 2019 Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization CVPR 2019 On Committee Representations of Adversarial Learning Models for Question-Answer Ranking ACL 2019 On Lazy Training in Differentiable Programming NeurIPS 2019 Online Hyper-Parameter Learning for Auto-Augmentation Strategy ICCV 2019 Online Normalization for Training Neural Networks NeurIPS 2019 On the Continuity of Rotation Representations in Neural Networks CVPR 2019 On the Efficacy of Knowledge Distillation ICCV 2019 On the Impact of the Activation function on Deep Neural Networks Training ICML 2019 Optimizing the F-Measure for Threshold-Free Salient Object Detection ICCV 2019 Parallelizable Stack Long Short-Term Memory NAACL 2019 Play and Prune: Adaptive Filter Pruning for Deep Model Compression IJCAI 2019 Real-Time One-Pass Decoder for Speech Recognition Using LSTM Language Models Interspeech 2019 RePr: Improved Training of Convolutional Filters CVPR 2019 ResNet and Batch-normalization Improve Data Separability ACML 2019 Revisit Batch Normalization: New Understanding and Refinement via Composition Optimization AISTATS 2019 Robust Text Classifier on Test-Time Budgets EMNLP 2019 Root Mean Square Layer Normalization NeurIPS 2019 ScratchDet: Training Single-Shot Object Detectors From Scratch CVPR 2019 Searching for a Robust Neural Architecture in Four GPU Hours CVPR 2019 Self-Supervised Convolutional Subspace Clustering Network CVPR 2019 Semi-flat minima and saddle points by embedding neural networks to overparameterization NeurIPS 2019