Regression

Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds NeurIPS 2019 Learning Sample-Specific Models with Low-Rank Personalized Regression NeurIPS 2019 Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA ACML 2019 Learning to Clear the Market ICML 2019 Learning to Learn Image Classifiers With Visual Analogy CVPR 2019 Learning to Optimize Multigrid PDE Solvers ICML 2019 Learning to Separate Multiple Illuminants in a Single Image CVPR 2019 Learning to Synthesize Motion Blur CVPR 2019 Learning Triggers for Heterogeneous Treatment Effects AAAI 2019 Learning With Unsure Data for Medical Image Diagnosis ICCV 2019 Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting ICCV 2019 Least Squares Estimation of Weakly Convex Functions AISTATS 2019 Level-Up: Learning to Improve Proficiency Level of Essays ACL 2019 Leveraging Heterogeneous Auxiliary Tasks to Assist Crowd Counting CVPR 2019 Lifting high-dimensional non-linear models with Gaussian regressors AISTATS 2019 Lipper: Synthesizing Thy Speech Using Multi-View Lipreading AAAI 2019 List-decodable Linear Regression NeurIPS 2019 Low Permutation-rank Matrices: Structural Properties and Noisy Completion JMLR 2019 LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations ICML 2019 Mallows ranking models: maximum likelihood estimate and regeneration ICML 2019 Manifold-regression to predict from MEG/EEG brain signals without source modeling NeurIPS 2019 Mask Scoring R-CNN CVPR 2019 Measuring text readability with machine comprehension: a pilot study ACL 2019 Measuring the Sympathetic Response to Intense Exercise in a Practical Setting MLHC 2019 Meta-learning with differentiable closed-form solvers ICLR 2019