Optimization

Deeply Learned Spectral Total Variation Decomposition NeurIPS 2020 DeepMPCVS: Deep Model Predictive Control for Visual Servoing CoRL 2020 Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning ACML 2020 Deep Network Classification by Scattering and Homotopy Dictionary Learning ICLR 2020 Deep Non-Line-of-Sight Reconstruction CVPR 2020 Deep Parametric Shape Predictions Using Distance Fields CVPR 2020 Deep Reinforcement Learning with Robust and Smooth Policy ICML 2020 Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection AAAI 2020 Deep Statistical Solvers NeurIPS 2020 Deep Weighted MaxSAT for Aspect-based Opinion Extraction EMNLP 2020 DeltaGrad: Rapid retraining of machine learning models ICML 2020 Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response Jacobians NeurIPS 2020 Demo Application for the AutoGOAL Framework COLING 2020 Demystifying Orthogonal Monte Carlo and Beyond NeurIPS 2020 Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators ICLR 2020 Densely Connected Search Space for More Flexible Neural Architecture Search CVPR 2020 Depth Completion via Deep Basis Fitting WACV 2020 Derivative-Free & Order-Robust Optimisation AISTATS 2020 DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths ICML 2020 Determinant Regularization for Gradient-Efficient Graph Matching CVPR 2020 Deterministic Approximation for Submodular Maximization over a Matroid in Nearly Linear Time NeurIPS 2020 Dialogue Response Ranking Training with Large-Scale Human Feedback Data EMNLP 2020 Differentiable Algorithm for Marginalising Changepoints AAAI 2020 Differentiable Causal Discovery from Interventional Data NeurIPS 2020 Differentiable Logic Layer for Rule Guided Trajectory Prediction CoRL 2020