Optimization

Gaussian Temporal Awareness Networks for Action Localization CVPR 2019 Generalization Bounds in the Predict-then-Optimize Framework NeurIPS 2019 Generalized Batch Normalization: Towards Accelerating Deep Neural Networks AAAI 2019 Generalized Majorization-Minimization ICML 2019 Generalized Majorization-Minimization for Non-Convex Optimization IJCAI 2019 Generalized Maximum Entropy Estimation JMLR 2019 Generalized Sliced Wasserstein Distances NeurIPS 2019 General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme NeurIPS 2019 Generating Classical Chinese Poems from Vernacular Chinese EMNLP 2019 GENO -- GENeric Optimization for Classical Machine Learning NeurIPS 2019 Geometry Normalization Networks for Accurate Scene Text Detection ICCV 2019 Global Autoregressive Models for Data-Efficient Sequence Learning CoNLL 2019 Global Convergence of Block Coordinate Descent in Deep Learning ICML 2019 Global Convergence of Gradient Descent for Deep Linear Residual Networks NeurIPS 2019 Global Convergence of Least Squares EM for Demixing Two Log-Concave Densities NeurIPS 2019 Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression COLT 2019 Global Guarantees for Blind Demodulation with Generative Priors NeurIPS 2019 Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses NeurIPS 2019 Globally Optimal Learning for Structured Elliptical Losses NeurIPS 2019 Global Reasoning over Database Structures for Text-to-SQL Parsing EMNLP 2019 Global Sparse Momentum SGD for Pruning Very Deep Neural Networks NeurIPS 2019 GPSfM: Global Projective SFM Using Algebraic Constraints on Multi-View Fundamental Matrices CVPR 2019 Gradient-Based Inference for Networks with Output Constraints AAAI 2019 Gradient based sample selection for online continual learning NeurIPS 2019 Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening ACML 2019