Optimization

Communication-Efficient Stochastic Gradient MCMC for Neural Networks AAAI 2019 Comparing Sample-Wise Learnability across Deep Neural Network Models AAAI 2019 Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses CVPR 2019 Deep Generalized Method of Moments for Instrumental Variable Analysis NeurIPS 2019 Deep Layers as Stochastic Solvers ICLR 2019 Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data AAAI 2019 Deep Rigid Instance Scene Flow CVPR 2019 DeepView: View Synthesis With Learned Gradient Descent CVPR 2019 Differentiable Convex Optimization Layers NeurIPS 2019 Differentiable Ranking and Sorting using Optimal Transport NeurIPS 2019 Dimension-Free Bounds for Low-Precision Training NeurIPS 2019 Distributed Low-rank Matrix Factorization With Exact Consensus NeurIPS 2019 Douglas-Rachford Networks: Learning Both the Image Prior and Data Fidelity Terms for Blind Image Deconvolution CVPR 2019 Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function AISTATS 2019 EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks AAAI 2019 ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model CVPR 2019 Efficient and Scalable Multi-Task Regression on Massive Number of Tasks AAAI 2019 Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates ACML 2019 End-to-End Optimization of Source Models for Speech and Audio Coding Using a Machine Learning Framework Interspeech 2019 Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence AAAI 2019 Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks AISTATS 2019 Fine-grained Optimization of Deep Neural Networks NeurIPS 2019 Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions NeurIPS 2019 Fixing Mini-batch Sequences with Hierarchical Robust Partitioning AISTATS 2019 Generalized Batch Normalization: Towards Accelerating Deep Neural Networks AAAI 2019