Summary of Batch Active Learning in Gaussian Process Regression Using Derivatives, by Hon Sum Alec Yu et al.
Batch Active Learning in Gaussian Process Regression using Derivativesby Hon Sum Alec Yu, Christoph Zimmer,…
Summary of Active Learning For Neural Pde Solvers, by Daniel Musekamp et al.
Active Learning for Neural PDE Solversby Daniel Musekamp, Marimuthu Kalimuthu, David Holzmüller, Makoto Takamoto, Mathias…
Summary of A Cross-domain Benchmark For Active Learning, by Thorben Werner et al.
A Cross-Domain Benchmark for Active Learningby Thorben Werner, Johannes Burchert, Maximilian Stubbemann, Lars Schmidt-ThiemeFirst submitted…
Summary of Amortized Active Learning For Nonparametric Functions, by Cen-you Li et al.
Amortized Active Learning for Nonparametric Functionsby Cen-You Li, Marc Toussaint, Barbara Rakitsch, Christoph ZimmerFirst submitted…
Summary of Exploring and Addressing Reward Confusion in Offline Preference Learning, by Xin Chen et al.
Exploring and Addressing Reward Confusion in Offline Preference Learningby Xin Chen, Sam Toyer, Florian ShkurtiFirst…
Summary of Downstream-pretext Domain Knowledge Traceback For Active Learning, by Beichen Zhang et al.
Downstream-Pretext Domain Knowledge Traceback for Active Learningby Beichen Zhang, Liang Li, Zheng-Jun Zha, Jiebo Luo,…
Summary of Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge From Large Language Models, By Quan Li et al.
Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language…
Summary of Generalized Coverage For More Robust Low-budget Active Learning, by Wonho Bae et al.
Generalized Coverage for More Robust Low-Budget Active Learningby Wonho Bae, Junhyug Noh, Danica J. SutherlandFirst…
Summary of Sampling and Active Learning Methods For Network Reliability Estimation Using K-terminal Spanning Tree, by Chen Ding et al.
Sampling and active learning methods for network reliability estimation using K-terminal spanning treeby Chen Ding,…
Summary of Active Learning For Derivative-based Global Sensitivity Analysis with Gaussian Processes, by Syrine Belakaria et al.
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processesby Syrine Belakaria, Benjamin Letham, Janardhan…