| 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 |