Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance

26 May 2018

Papers citing "Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance"

20 / 20 papers shown

Title
Learning Deep Kernels for Non-Parametric Independence Testing Nathaniel Xu Feng Liu Danica J. Sutherland BDL 36 0 0 10 Sep 2024
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling Y. Yin Yu Wang Gang Xu 37 4 0 04 May 2023
Mixed Semi-Supervised Generalized-Linear-Regression with applications to Deep-Learning and Interpolators Yuval Oren Saharon Rosset 21 1 0 19 Feb 2023
MMD-B-Fair: Learning Fair Representations with Statistical Testing Namrata Deka Danica J. Sutherland 20 7 0 15 Nov 2022
USB: A Unified Semi-supervised Learning Benchmark for Classification Yidong Wang Hao Chen Yue Fan Wangbin Sun R. Tao ... T. Shinozaki Bernt Schiele Jindong Wang Xingxu Xie Yue Zhang 32 113 0 12 Aug 2022
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors Ravid Shwartz-Ziv Micah Goldblum Hossein Souri Sanyam Kapoor Chen Zhu Yann LeCun A. Wilson UQCV BDL 64 43 0 20 May 2022
Improved Training of Physics-Informed Neural Networks with Model Ensembles Katsiaryna Haitsiukevich Alexander Ilin PINN 42 23 0 11 Apr 2022
FisherMatch: Semi-Supervised Rotation Regression via Entropy-based Filtering Yingda Yin Yingcheng Cai He Wang Baoquan Chen 26 16 0 29 Mar 2022
A Generalized Weighted Optimization Method for Computational Learning and Inversion Bjorn Engquist Kui Ren Yunan Yang 31 4 0 23 Jan 2022
Built Year Prediction from Buddha Face with Heterogeneous Labels Yiming Qian Cheikh Brahim El Vaigh Yuta Nakashima B. Renoust Hajime Nagahara Yutaka Fujioka CVBM 27 3 0 02 Sep 2021
Semi-supervised Learning for Data-driven Soft-sensing of Biological and Chemical Processes E. Esche Torben Talis J. Weigert Gerardo Brand-Rihm Byungjun You Christian Hoffmann J. Repke 8 19 0 29 Jul 2021
Twin Neural Network Regression is a Semi-Supervised Regression Algorithm S. J. Wetzel R. Melko Isaac Tamblyn 18 11 0 11 Jun 2021
A lightweight deep learning based cloud detection method for Sentinel-2A imagery fusing multi-scale spectral and spatial features Jun Li Zhaocong Wu Zhongwen Hu Canliang Jian Shaojie Luo Lichao Mou Xiaoxiang Zhu M. Molinier 28 52 0 29 Apr 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 106 1,383 0 14 Dec 2020
Few-shot Learning for Spatial Regression Tomoharu Iwata Yusuke Tanaka 30 11 0 09 Oct 2020
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift Alex J. Chan Ahmed Alaa Zhaozhi Qian M. Schaar UQCV BDL OOD 28 38 0 26 Jun 2020
Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information Esther Rolf Michael I. Jordan Benjamin Recht 19 6 0 12 Mar 2020
Learning Deep Kernels for Non-Parametric Two-Sample Tests Feng Liu Wenkai Xu Jie Lu Guangquan Zhang Arthur Gretton Danica J. Sutherland 21 177 0 21 Feb 2020
Learning to Impute: A General Framework for Semi-supervised Learning Wei-Hong Li Chuan-Sheng Foo Hakan Bilen SSL 24 9 0 22 Dec 2019
Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs Jun Zhu Ning Chen Eric Xing BDL 67 157 0 05 Oct 2012