neural network optimization

A Neurobiological Evaluation Metric for Neural Network Model Search CVPR 2019 An Improved Analysis of Training Over-parameterized Deep Neural Networks NeurIPS 2019 A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI AAAI 2019 A Tour of Convolutional Networks Guided by Linear Interpreters ICCV 2019 AutoAssist: A Framework to Accelerate Training of Deep Neural Networks NeurIPS 2019 AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks AAAI 2019 Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA ACL 2019 Bag of Tricks for Image Classification with Convolutional Neural Networks CVPR 2019 Beyond Gradient Descent for Regularized Segmentation Losses CVPR 2019 BN-invariant Sharpness Regularizes the Training Model to Better Generalization IJCAI 2019 Breaking Inter-Layer Co-Adaptation by Classifier Anonymization ICML 2019 Calibrated Stochastic Gradient Descent for Convolutional Neural Networks AAAI 2019 Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution NeurIPS 2019 Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training EMNLP 2019 Comparing Sample-Wise Learnability across Deep Neural Network Models AAAI 2019 Compressing Convolutional Neural Networks via Factorized Convolutional Filters CVPR 2019 Creative Flow+ Dataset CVPR 2019 Decoupled Weight Decay Regularization ICLR 2019 Deep Frank-Wolfe For Neural Network Optimization ICLR 2019 Deep Learning without Weight Transport NeurIPS 2019 DiffChaser: Detecting Disagreements for Deep Neural Networks IJCAI 2019 Differentiable Dynamic Normalization for Learning Deep Representation ICML 2019 Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks ICCV 2019 Digging Into Self-Supervised Monocular Depth Estimation ICCV 2019 Dimension-Free Bounds for Low-Precision Training NeurIPS 2019