Regression

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression

Interrupted time series regression for the evaluation of public health interventions: a tutorial

Simple and Scalable Predictive Uncertainty Estimation using Deep\n Ensembles

Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics

Data-Driven Design of HPDC Aluminum Alloys Using Machine Learning and Inverse Design

Density-aware active learning for materials discovery: a case study on functionalized nanoporous materials