| Sparse Bayesian Learning via Stepwise Regression | Jun 11, 2021 | feature selectionregression | CodeCode Available | 1 |
| Neural Symbolic Regression that Scales | Jun 11, 2021 | regressionscientific discovery | CodeCode Available | 1 |
| Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features | Jun 10, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| Simplifying Deep Reinforcement Learning via Self-Supervision | Jun 10, 2021 | Deep Reinforcement Learningregression | CodeCode Available | 0 |
| Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition | Jun 10, 2021 | Gaussian Processesregression | CodeCode Available | 1 |
| Quantum Speedup of Natural Gradient for Variational Bayes | Jun 10, 2021 | Bayesian InferenceComputational Efficiency | —Unverified | 0 |
| Learning Nonparametric Volterra Kernels with Gaussian Processes | Jun 10, 2021 | Gaussian ProcessesNumerical Integration | CodeCode Available | 0 |
| Understanding the Under-Coverage Bias in Uncertainty Estimation | Jun 10, 2021 | parameter estimationquantile regression | —Unverified | 0 |
| Curiously Effective Features for Image Quality Prediction | Jun 10, 2021 | Predictionregression | CodeCode Available | 0 |
| Key Information Extraction From Documents: Evaluation And Generator | Jun 9, 2021 | DecoderKey Information Extraction | CodeCode Available | 1 |
| 5G MIMO Data for Machine Learning: Application to Beam-Selection using Deep Learning | Jun 9, 2021 | BIG-bench Machine LearningDeep Learning | —Unverified | 0 |
| On the Use of Minimum Penalties in Statistical Learning | Jun 9, 2021 | Model Selectionregression | —Unverified | 0 |
| Predicting the Popularity of Reddit Posts with AI | Jun 8, 2021 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Learning Functional Priors and Posteriors from Data and Physics | Jun 8, 2021 | Meta-Learningregression | —Unverified | 0 |
| Unbalanced Optimal Transport through Non-negative Penalized Linear Regression | Jun 8, 2021 | regression | CodeCode Available | 1 |
| Inference for Network Regression Models with Community Structure | Jun 8, 2021 | Clusteringregression | —Unverified | 0 |
| HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimation | Jun 8, 2021 | 2D Human Pose EstimationFace Detection | CodeCode Available | 1 |
| DMIDAS: Deep Mixed Data Sampling Regression for Long Multi-Horizon Time Series Forecasting | Jun 7, 2021 | regressionTime Series | —Unverified | 0 |
| Wide-Baseline Relative Camera Pose Estimation with Directional Learning | Jun 7, 2021 | Camera Pose EstimationPose Estimation | CodeCode Available | 1 |
| Can a single neuron learn predictive uncertainty? | Jun 7, 2021 | BenchmarkingConformal Prediction | CodeCode Available | 0 |
| AI without networks | Jun 7, 2021 | Model Selectionregression | —Unverified | 0 |
| RegMix: Data Mixing Augmentation for Regression | Jun 7, 2021 | ClassificationData Augmentation | —Unverified | 0 |
| Multivariate Probabilistic Regression with Natural Gradient Boosting | Jun 7, 2021 | regression | CodeCode Available | 2 |
| Statistical Inference for High-Dimensional Linear Regression with Blockwise Missing Data | Jun 7, 2021 | Imputationregression | CodeCode Available | 0 |
| Automation for Interpretable Machine Learning Through a Comparison of Loss Functions to Regularisers | Jun 7, 2021 | BIG-bench Machine LearningInterpretable Machine Learning | —Unverified | 0 |
| Stateful Strategic Regression | Jun 7, 2021 | Decision Makingregression | —Unverified | 0 |
| How to Evaluate Uncertainty Estimates in Machine Learning for Regression? | Jun 7, 2021 | BIG-bench Machine LearningPrediction | —Unverified | 0 |
| Learning a performance metric of Buchberger's algorithm | Jun 7, 2021 | regression | CodeCode Available | 0 |
| Pointwise visual field estimation from optical coherence tomography in glaucoma: a structure-function analysis using deep learning | Jun 7, 2021 | Managementregression | —Unverified | 0 |
| The Fine-Grained Hardness of Sparse Linear Regression | Jun 6, 2021 | regression | —Unverified | 0 |
| Linear Rescaling to Accurately Interpret Logarithms | Jun 6, 2021 | regression | —Unverified | 0 |
| SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction | Jun 6, 2021 | 3D Face Alignment3D Face Reconstruction | CodeCode Available | 1 |
| COVID-19 cases prediction using regression and novel SSM model for non-converged countries | Jun 4, 2021 | regression | —Unverified | 0 |
| Credit spread approximation and improvement using random forest regression | Jun 4, 2021 | regression | —Unverified | 0 |
| Adiabatic Quantum Feature Selection for Sparse Linear Regression | Jun 4, 2021 | feature selectionregression | —Unverified | 0 |
| Out-of-Distribution Generalization in Kernel Regression | Jun 4, 2021 | BIG-bench Machine LearningOut-of-Distribution Generalization | CodeCode Available | 0 |
| Materials Representation and Transfer Learning for Multi-Property Prediction | Jun 4, 2021 | BIG-bench Machine LearningGenerative Adversarial Network | CodeCode Available | 1 |
| Minimax Optimal Regression over Sobolev Spaces via Laplacian Regularization on Neighborhood Graphs | Jun 3, 2021 | regression | —Unverified | 0 |
| Linear regression with partially mismatched data: local search with theoretical guarantees | Jun 3, 2021 | regression | —Unverified | 0 |
| Three-dimensional Epanechnikov mixture regression in image coding | Jun 3, 2021 | regression | —Unverified | 0 |
| Bayesian Inference for Gamma Models | Jun 3, 2021 | Bayesian InferenceData Augmentation | —Unverified | 0 |
| The Earth Mover's Pinball Loss: Quantiles for Histogram-Valued Regression | Jun 3, 2021 | regression | CodeCode Available | 0 |
| Gradient Boosted Binary Histogram Ensemble for Large-scale Regression | Jun 3, 2021 | Computational EfficiencyEnsemble Learning | —Unverified | 0 |
| Gaussian Processes on Hypergraphs | Jun 3, 2021 | Gaussian ProcessesMulti-class Classification | —Unverified | 0 |
| Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence | Jun 3, 2021 | object-detectionObject Detection | —Unverified | 0 |
| Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning | Jun 3, 2021 | regression | —Unverified | 0 |
| Machine learning models for DOTA 2 outcomes prediction | Jun 3, 2021 | BIG-bench Machine LearningDota 2 | CodeCode Available | 1 |
| Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression | Jun 3, 2021 | regressionTime Series Analysis | CodeCode Available | 1 |
| OctoPath: An OcTree Based Self-Supervised Learning Approach to Local Trajectory Planning for Mobile Robots | Jun 2, 2021 | BenchmarkingDecoder | —Unverified | 0 |
| Field Estimation using Robotic Swarms through Bayesian Regression and Mean-Field Feedback | Jun 2, 2021 | Density Estimationregression | —Unverified | 0 |