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neural network regression

16 papers

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Co-occurring keywords

neural network (6616) uncertainty quantification (1393) probabilistic calibration (3) training stability (36) soft sensor (2) minimum variance estimation (1) 3d rendering (41) model optimization (75) predictive distribution (39) quantile recalibration (2)

Papers

Individual Text Corpora Predict Openness, Interests, Knowledge and Level of Education COLING 2024
Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient NIPS 2024
Probabilistic Calibration by Design for Neural Network Regression AISTATS 2024
Guiding GBFS through Learned Pairwise Rankings IJCAI 2024
Solving Stabilize-Avoid via Epigraph Form Optimal Control using Deep Reinforcement Learning RSS 2023
A Framework and Benchmark for Deep Batch Active Learning for Regression JMLR 2023
A Large-Scale Study of Probabilistic Calibration in Neural Network Regression ICML 2023
NOMU: Neural Optimization-based Model Uncertainty ICML 2022
HHP-Net: A Light Heteroscedastic Neural Network for Head Pose Estimation With Uncertainty WACV 2022
SPDE-Net: Neural Network based prediction of stabilization parameter for SUPG technique ACML 2021
Statistical Estimation from Dependent Data ICML 2021
EMLight: Lighting Estimation via Spherical Distribution Approximation AAAI 2021
Financial Thought Experiment: A GAN-based Approach to Vast Robust Portfolio Selection IJCAI 2020
Significance Tests for Neural Networks JMLR 2020
Expressive Body Capture: 3D Hands, Face, and Body From a Single Image CVPR 2019
Direct F0 Estimation with Neural-Network-Based Regression INTERSPEECH 2019