Regression

Neural Cognitive Diagnosis for Intelligent Education Systems AAAI 2020 Neural Conditional Event Time Models MLHC 2020 Neural Likelihoods via Cumulative Distribution Functions UAI 2020 Neural Networks Fail to Learn Periodic Functions and How to Fix It NeurIPS 2020 Neural Power Units NeurIPS 2020 Neural Topic Model with Attention for Supervised Learning AISTATS 2020 Neural Zero-Inflated Quality Estimation Model for Automatic Speech Recognition System Interspeech 2020 Neuronal Gaussian Process Regression NeurIPS 2020 NGBoost: Natural Gradient Boosting for Probabilistic Prediction ICML 2020 Non-Crossing Quantile Regression for Distributional Reinforcement Learning NeurIPS 2020 Non-Intrusive Diagnostic Monitoring of Fullband Speech Quality Interspeech 2020 Nonlinear System Identification via Tensor Completion AAAI 2020 Nonparametric Estimation in the Dynamic Bradley-Terry Model AISTATS 2020 Non-parametric Models for Non-negative Functions NeurIPS 2020 Nonparametric Sequential Prediction While Deep Learning the Kernel AISTATS 2020 OASIS: A Large-Scale Dataset for Single Image 3D in the Wild CVPR 2020 Oblique Decision Trees from Derivatives of ReLU Networks ICLR 2020 ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems AAAI 2020 Offset Bin Classification Network for Accurate Object Detection CVPR 2020 OF-MSRN: Optical Flow-Auxiliary Multi-Task Regression Network for Direct Quantitative Measurement, Segmentation and Motion Estimation AAAI 2020 On Coresets for Regularized Regression ICML 2020 One-Bit Compressed Sensing via One-Shot Hard Thresholding UAI 2020 One-shot Distributed Ridge Regression in High Dimensions ICML 2020 Online Binary Space Partitioning Forests AISTATS 2020 Online Multi-Kernel Learning with Graph-Structured Feedback ICML 2020