| Fitting very flexible models: Linear regression with large numbers of parameters | Jan 15, 2021 | DenoisingModel Selection | —Unverified | 0 |
| Fundamental Tradeoffs in Distributionally Adversarial Training | Jan 15, 2021 | Binary Classificationregression | —Unverified | 0 |
| A Novel Cluster Classify Regress Model Predictive Controller Formulation; CCR-MPC | Jan 15, 2021 | BIG-bench Machine LearningClustering | —Unverified | 0 |
| Joint Dimensionality Reduction for Separable Embedding Estimation | Jan 14, 2021 | Dimensionality Reductionfeature selection | —Unverified | 0 |
| TUDublin team at Constraint@AAAI2021 -- COVID19 Fake News Detection | Jan 14, 2021 | Binary ClassificationFake News Detection | —Unverified | 0 |
| Multiscale regression on unknown manifolds | Jan 13, 2021 | regression | —Unverified | 0 |
| Uniform Error and Posterior Variance Bounds for Gaussian Process Regression with Application to Safe Control | Jan 13, 2021 | Gaussian Processesregression | —Unverified | 0 |
| Empirical Decomposition of the IV-OLS Gap with Heterogeneous and Nonlinear Effects | Jan 12, 2021 | regression | —Unverified | 0 |
| Deep Neural Networks to Recover Unknown Physical Parameters from Oscillating Time Series | Jan 11, 2021 | Denoisingregression | —Unverified | 0 |
| Using the Econometric Models for Identification of Risk Factors for Albanian SMEs (Case study: SMEs of Gjirokastra region) | Jan 10, 2021 | regression | —Unverified | 0 |
| Joint Prediction of Remaining Useful Life and Failure Type of Train Wheelsets: A Multi-task Learning Approach | Jan 10, 2021 | feature selectionMulti-Task Learning | —Unverified | 0 |
| Discriminative Noise Robust Sparse Orthogonal Label Regression-based Domain Adaptation | Jan 9, 2021 | Domain Adaptationregression | —Unverified | 0 |
| Heteroscedasticity-aware residuals-based contextual stochastic optimization | Jan 8, 2021 | regressionStochastic Optimization | —Unverified | 0 |
| Learning a binary search with a recurrent neural network. A novel approach to ordinal regression analysis | Jan 7, 2021 | regressionSpecificity | —Unverified | 0 |
| Retrieval of Coloured Dissolved Organic Matter with Machine Learning Methods | Jan 7, 2021 | BIG-bench Machine LearningGPR | —Unverified | 0 |
| A Novel Regression Loss for Non-Parametric Uncertainty Optimization | Jan 7, 2021 | regression | —Unverified | 0 |
| Weighted Ensemble-model and Network Analysis: A method to predict fluid intelligence via naturalistic functional connectivity | Jan 6, 2021 | BIG-bench Machine LearningFunctional Connectivity | —Unverified | 0 |
| Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models | Jan 6, 2021 | Demand ForecastingManagement | —Unverified | 0 |
| Hyperboost: Hyperparameter Optimization by Gradient Boosting surrogate models | Jan 6, 2021 | AutoMLBayesian Optimization | —Unverified | 0 |
| Predicting CEO Compensation in Non-Controlled Public Corporations with the Canonical Regression Quantile Method | Jan 6, 2021 | regression | —Unverified | 0 |
| A unifying approach on bias and variance analysis for classification | Jan 5, 2021 | ClassificationGeneral Classification | —Unverified | 0 |
| CLeaR: An Adaptive Continual Learning Framework for Regression Tasks | Jan 4, 2021 | Continual LearningIncremental Learning | —Unverified | 0 |
| Gauss-Legendre Features for Gaussian Process Regression | Jan 4, 2021 | Gaussian ProcessesNumerical Integration | —Unverified | 0 |
| Regression Discontinuity Design with Many Thresholds | Jan 4, 2021 | counterfactualregression | —Unverified | 0 |
| COVID-19 spreading in financial networks: A semiparametric matrix regression model | Jan 2, 2021 | regression | —Unverified | 0 |
| On the Discovery of Feature Importance Distribution: An Overlooked Area | Jan 1, 2021 | Feature Importanceregression | CodeCode Available | 0 |
| Dataset Meta-Learning from Kernel-Ridge Regression | Jan 1, 2021 | Dataset DistillationMeta-Learning | —Unverified | 0 |
| Meta Gradient Boosting Neural Networks | Jan 1, 2021 | Meta-Learningregression | —Unverified | 0 |
| Removing the Bias of Integral Pose Regression | Jan 1, 2021 | 2D Human Pose Estimation2D Pose Estimation | —Unverified | 0 |
| On Single-environment Extrapolations in Graph Classification and Regression Tasks | Jan 1, 2021 | Classificationcounterfactual | —Unverified | 0 |
| Joint Learning of Full-structure Noise in Hierarchical Bayesian Regression Models | Jan 1, 2021 | EEGElectroencephalogram (EEG) | CodeCode Available | 0 |
| Differentiable Programming for Piecewise Polynomial Functions | Jan 1, 2021 | DenoisingImage Segmentation | —Unverified | 0 |
| Optimal allocation of data across training tasks in meta-learning | Jan 1, 2021 | Few-Shot Image Classificationimage-classification | —Unverified | 0 |
| Variational Deterministic Uncertainty Quantification | Jan 1, 2021 | Causal Inferenceregression | —Unverified | 0 |
| The Impact of the Mini-batch Size on the Dynamics of SGD: Variance and Beyond | Jan 1, 2021 | regression | —Unverified | 0 |
| QRGAN: Quantile Regression Generative Adversarial Networks | Jan 1, 2021 | quantile regressionregression | —Unverified | 0 |
| Generalized Shuffled Linear Regression | Jan 1, 2021 | regression | —Unverified | 0 |
| Bayesian Context Aggregation for Neural Processes | Jan 1, 2021 | Bayesian InferenceMulti-Task Learning | —Unverified | 0 |
| Normalizing Flows for Calibration and Recalibration | Jan 1, 2021 | regression | —Unverified | 0 |
| Hellinger Distance Constrained Regression | Jan 1, 2021 | MuJoCoregression | —Unverified | 0 |
| Discriminating Homonymy from Polysemy in Wordnets: English, Spanish and Polish Nouns | Jan 1, 2021 | LEMMAregression | —Unverified | 0 |
| Quantile Regularization : Towards Implicit Calibration of Regression Models | Jan 1, 2021 | regression | —Unverified | 0 |
| Sparse Recovery via Bootstrapping: Collaborative or Independent? | Jan 1, 2021 | Image Reconstructionregression | —Unverified | 0 |
| Median DC for Sign Recovery: Privacy can be Achieved by Deterministic Algorithms | Jan 1, 2021 | Common Sense ReasoningPrivacy Preserving | —Unverified | 0 |
| B-SMALL: A Bayesian Neural Network approach to Sparse Model-Agnostic Meta-Learning | Jan 1, 2021 | Domain AdaptationMeta-Learning | CodeCode Available | 0 |
| Predictive Uncertainty in Deep Object Detectors: Estimation and Evaluation | Jan 1, 2021 | Objectobject-detection | —Unverified | 0 |
| Incremental few-shot learning via vector quantization in deep embedded space | Jan 1, 2021 | class-incremental learningClass Incremental Learning | —Unverified | 0 |
| Batch Inverse-Variance Weighting: Deep Heteroscedastic Regression using Privileged Information | Jan 1, 2021 | regression | —Unverified | 0 |
| ChePAN: Constrained Black-Box Uncertainty Modelling with Quantile Regression | Jan 1, 2021 | quantile regressionregression | —Unverified | 0 |
| Semi-supervised regression with skewed data via adversarially forcing the distribution of predicted values | Jan 1, 2021 | Drug Discoveryregression | —Unverified | 0 |