Regression

Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence NeurIPS 2021 Learning Inertial Odometry for Dynamic Legged Robot State Estimation CoRL 2021 Learning Interaction Kernels for Agent Systems on Riemannian Manifolds ICML 2021 Learning interaction kernels in heterogeneous systems of agents from multiple trajectories JMLR 2021 Learning Model Preconditions for Planning with Multiple Models CoRL 2021 Learning Nonparametric Volterra Kernels with Gaussian Processes NeurIPS 2021 Learning Prediction Intervals for Regression: Generalization and Calibration AISTATS 2021 Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression CVPR 2021 Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization ICML 2021 Learning Recurrent Neural Net Models of Nonlinear Systems L4DC 2021 Learning Spatially-Variant MAP Models for Non-Blind Image Deblurring CVPR 2021 Learning the Dynamics of Time Delay Systems with Trainable Delays L4DC 2021 Learning the optimal Tikhonov regularizer for inverse problems NeurIPS 2021 Learning to Combine Per-Example Solutions for Neural Program Synthesis NeurIPS 2021 Learning to Count via Unbalanced Optimal Transport AAAI 2021 Learning to delegate for large-scale vehicle routing NeurIPS 2021 Learning to learn with Gaussian processes UAI 2021 Learning To Scale Mixed-Integer Programs AAAI 2021 Learn the Highest Label and Rest Label Description Degrees IJCAI 2021 Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortality NAACL 2021 Leveraging probabilistic circuits for nonparametric multi-output regression UAI 2021 Linguistic Complexity Loss in Text-Based Therapy NAACL 2021 Liquid Time-constant Networks AAAI 2021 Localizing Changes in High-Dimensional Regression Models AISTATS 2021 Locally private online change point detection NeurIPS 2021