| Adversarial Robust Low Rank Matrix Estimation: Compressed Sensing and Matrix Completion | Oct 25, 2020 | compressed sensingMatrix Completion | —Unverified | 0 |
| Statistical optimality and stability of tangent transform algorithms in logit models | Oct 25, 2020 | regressionVariational Inference | —Unverified | 0 |
| Improving the generalization of network based relative pose regression: dimension reduction as a regularizer | Oct 24, 2020 | 3D ReconstructionDimensionality Reduction | —Unverified | 0 |
| Stochastic Gradient Descent Meets Distribution Regression | Oct 24, 2020 | regression | —Unverified | 0 |
| Nearly Optimal Variational Inference for High Dimensional Regression with Shrinkage Priors | Oct 24, 2020 | Computational Efficiencyregression | —Unverified | 0 |
| Autoencoder Watchdog Outlier Detection for Classifiers | Oct 24, 2020 | Outlier Detectionregression | —Unverified | 0 |
| Out-of-distribution detection for regression tasks: parameter versus predictor entropy | Oct 24, 2020 | DiversityOut-of-Distribution Detection | —Unverified | 0 |
| MIMO ILC for Precision SEA robots using Input-weighted Complex-Kernel Regression | Oct 23, 2020 | GPRregression | —Unverified | 0 |
| CP Degeneracy in Tensor Regression | Oct 22, 2020 | regression | —Unverified | 0 |
| On the intrinsic robustness to noise of some leading classifiers and symmetric loss function -- an empirical evaluation | Oct 22, 2020 | Fraud Detectionregression | —Unverified | 0 |
| Robust Audio-Based Vehicle Counting in Low-to-Moderate Traffic Flow | Oct 22, 2020 | regression | —Unverified | 0 |
| Spike and slab variational Bayes for high dimensional logistic regression | Oct 22, 2020 | Bayesian InferenceModel Selection | —Unverified | 0 |
| Graph Neural Network for Large-Scale Network Localization | Oct 22, 2020 | Graph Neural Networkregression | CodeCode Available | 1 |
| Computationally and Statistically Efficient Truncated Regression | Oct 22, 2020 | Computational Efficiencyregression | —Unverified | 0 |
| Neural Network-based Acoustic Vehicle Counting | Oct 22, 2020 | Distance regressionregression | —Unverified | 0 |
| Learning Invariances in Neural Networks | Oct 22, 2020 | image-classificationImage Classification | CodeCode Available | 1 |
| Differentiable Optimal Adversaries for Learning Fair Representations | Oct 21, 2020 | Fairnessregression | —Unverified | 0 |
| How Data Augmentation affects Optimization for Linear Regression | Oct 21, 2020 | Data Augmentationregression | —Unverified | 0 |
| Regularised Least-Squares Regression with Infinite-Dimensional Output Space | Oct 21, 2020 | Learning Theoryregression | —Unverified | 0 |
| Impact of crop diversification on tribal farmer's income: A case study from Eastern ghats of India | Oct 20, 2020 | Descriptiveregression | —Unverified | 0 |
| Deep Importance Sampling based on Regression for Model Inversion and Emulation | Oct 20, 2020 | Gaussian Processesregression | —Unverified | 0 |
| Temperature Scaling for Quantile Calibration | Oct 19, 2020 | Classificationregression | —Unverified | 0 |
| Local Linear Approximation Algorithm for Neural Network | Oct 19, 2020 | regression | —Unverified | 0 |
| Non-parametric Binary regression in metric spaces with KL loss | Oct 19, 2020 | Generalization Boundsregression | —Unverified | 0 |
| A Concentration of Measure Framework to study convex problems and other implicit formulation problems in machine learning | Oct 19, 2020 | regression | —Unverified | 0 |
| Efficient Estimation and Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling | Oct 19, 2020 | ImputationMissing Labels | CodeCode Available | 0 |
| Increasing Depth Leads to U-Shaped Test Risk in Over-parameterized Convolutional Networks | Oct 19, 2020 | image-classificationImage Classification | —Unverified | 0 |
| JSRT: James-Stein Regression Tree | Oct 18, 2020 | Predictionregression | —Unverified | 0 |
| Addressing Variance Shrinkage in Variational Autoencoders using Quantile Regression | Oct 18, 2020 | Anomaly DetectionLesion Detection | —Unverified | 0 |
| Conformal prediction interval for dynamic time-series | Oct 18, 2020 | Conformal PredictionEnsemble Learning | CodeCode Available | 2 |
| A Seq2Seq approach to Symbolic Regression | Oct 17, 2020 | Benchmarkingregression | CodeCode Available | 0 |
| Learning from Suboptimal Demonstration via Self-Supervised Reward Regression | Oct 17, 2020 | regression | CodeCode Available | 1 |
| Robust Face Alignment by Multi-order High-precision Hourglass Network | Oct 17, 2020 | Face Alignmentregression | —Unverified | 0 |
| Quantum-Inspired Classical Algorithm for Principal Component Regression | Oct 16, 2020 | Recommendation Systemsregression | —Unverified | 0 |
| Binary Choice with Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Racial Justice | Oct 16, 2020 | BIG-bench Machine LearningEconometrics | —Unverified | 0 |
| Quantile regression with deep ReLU Networks: Estimators and minimax rates | Oct 16, 2020 | quantile regressionregression | CodeCode Available | 1 |
| Multi-fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces | Oct 16, 2020 | Gaussian Processesregression | CodeCode Available | 1 |
| Deep and interpretable regression models for ordinal outcomes | Oct 16, 2020 | image-classificationImage Classification | CodeCode Available | 0 |
| Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning | Oct 16, 2020 | quantile regressionregression | —Unverified | 0 |
| An Accurate and Fully-Automated Ensemble Model for Weekly Time Series Forecasting | Oct 16, 2020 | Meta-Learningregression | CodeCode Available | 1 |
| A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery | Oct 16, 2020 | BIG-bench Machine Learningregression | —Unverified | 0 |
| LTN: Long-Term Network for Long-Term Motion Prediction | Oct 15, 2020 | Autonomous Navigationmotion prediction | —Unverified | 0 |
| A Theory of Hyperbolic Prototype Learning | Oct 15, 2020 | regression | —Unverified | 0 |
| Instrumental Variable Regression via Kernel Maximum Moment Loss | Oct 15, 2020 | regression | CodeCode Available | 0 |
| Task Decoupled Knowledge Distillation For Lightweight Face Detectors | Oct 14, 2020 | Face DetectionKnowledge Distillation | CodeCode Available | 1 |
| Decomposing non-stationary signals with time-varying wave-shape functions | Oct 14, 2020 | Computational Efficiencyregression | CodeCode Available | 1 |
| Learning Deep Features in Instrumental Variable Regression | Oct 14, 2020 | regression | CodeCode Available | 1 |
| VEST: Automatic Feature Engineering for Forecasting | Oct 14, 2020 | Feature Engineeringfeature selection | CodeCode Available | 1 |
| Neural Mixture Distributional Regression | Oct 14, 2020 | Deep Learningregression | —Unverified | 0 |
| ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different Datasets | Oct 12, 2020 | DiversityFace Alignment | CodeCode Available | 1 |