| Semi-supervised regression with skewed data via adversarially forcing the distribution of predicted values | Jan 1, 2021 | Drug Discoveryregression | —Unverified | 0 |
| Knowledge distillation via softmax regression representation learning | Jan 1, 2021 | Knowledge DistillationModel Compression | —Unverified | 0 |
| Predictive Uncertainty in Deep Object Detectors: Estimation and Evaluation | Jan 1, 2021 | Objectobject-detection | —Unverified | 0 |
| Deep Repulsive Clustering of Ordered Data Based on Order-Identity Decomposition | Jan 1, 2021 | Age EstimationClustering | —Unverified | 0 |
| Learning What Not to Model: Gaussian Process Regression with Negative Constraints | Jan 1, 2021 | Navigateregression | —Unverified | 0 |
| Differentiable Programming for Piecewise Polynomial Functions | Jan 1, 2021 | DenoisingImage Segmentation | —Unverified | 0 |
| Normalizing Flows for Calibration and Recalibration | Jan 1, 2021 | regression | —Unverified | 0 |
| The Impact of the Mini-batch Size on the Dynamics of SGD: Variance and Beyond | Jan 1, 2021 | regression | —Unverified | 0 |
| A Bayesian-Symbolic Approach to Learning and Reasoning for Intuitive Physics | Jan 1, 2021 | Bayesian InferenceCommon Sense Reasoning | —Unverified | 0 |
| On Single-environment Extrapolations in Graph Classification and Regression Tasks | Jan 1, 2021 | Classificationcounterfactual | —Unverified | 0 |
| Optimal allocation of data across training tasks in meta-learning | Jan 1, 2021 | Few-Shot Image Classificationimage-classification | —Unverified | 0 |
| On the Discovery of Feature Importance Distribution: An Overlooked Area | Jan 1, 2021 | Feature Importanceregression | CodeCode Available | 0 |
| Meta Gradient Boosting Neural Networks | Jan 1, 2021 | Meta-Learningregression | —Unverified | 0 |
| A framework for learned sparse sketches | Jan 1, 2021 | Clusteringregression | —Unverified | 0 |
| Dataset Meta-Learning from Kernel-Ridge Regression | Jan 1, 2021 | Dataset DistillationMeta-Learning | —Unverified | 0 |
| Batch Inverse-Variance Weighting: Deep Heteroscedastic Regression using Privileged Information | Jan 1, 2021 | regression | —Unverified | 0 |
| Sparse Recovery via Bootstrapping: Collaborative or Independent? | Jan 1, 2021 | Image Reconstructionregression | —Unverified | 0 |
| Variational Deterministic Uncertainty Quantification | Jan 1, 2021 | Causal Inferenceregression | —Unverified | 0 |
| Joint Learning of Full-structure Noise in Hierarchical Bayesian Regression Models | Jan 1, 2021 | EEGElectroencephalogram (EEG) | CodeCode Available | 0 |
| Hellinger Distance Constrained Regression | Jan 1, 2021 | MuJoCoregression | —Unverified | 0 |
| Regression from Upper One-side Labeled Data | Jan 1, 2021 | regression | —Unverified | 0 |
| QRGAN: Quantile Regression Generative Adversarial Networks | Jan 1, 2021 | quantile regressionregression | —Unverified | 0 |
| Median DC for Sign Recovery: Privacy can be Achieved by Deterministic Algorithms | Jan 1, 2021 | Common Sense ReasoningPrivacy Preserving | —Unverified | 0 |
| Breaking Ties: Regression Discontinuity Design Meets Market Design | Dec 31, 2020 | Mathregression | —Unverified | 0 |
| Boarding House Renting Price Prediction Using Deep Neural Network Regression on Mobile Apps | Dec 31, 2020 | regressionSurvey | CodeCode Available | 0 |