research
∙
07/20/2023
Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering
Despite the empirical success and practical significance of (relational)...
share
research
∙
07/19/2023
Novel Batch Active Learning Approach and Its Application to Synthetic Aperture Radar Datasets
Active learning improves the performance of machine learning methods by ...
research
∙
10/27/2022
Poisson Reweighted Laplacian Uncertainty Sampling for Graph-based Active Learning
We show that uncertainty sampling is sufficient to achieve exploration v...
research
∙
03/31/2022
Graph-based Active Learning for Semi-supervised Classification of SAR Data
We present a novel method for classification of Synthetic Aperture Radar...
research
∙
12/12/2021
Efficient and Reliable Overlay Networks for Decentralized Federated Learning
We propose near-optimal overlay networks based on d-regular expander gra...
research
∙
10/14/2021
Model-Change Active Learning in Graph-Based Semi-Supervised Learning
Active learning in semi-supervised classification involves introducing a...
research
∙
07/25/2020
Posterior Consistency of Semi-Supervised Regression on Graphs
Graph-based semi-supervised regression (SSR) is the problem of estimatin...
research
∙
07/21/2020
Efficient Graph-Based Active Learning with Probit Likelihood via Gaussian Approximations
We present a novel adaptation of active learning to graph-based semi-sup...
research
∙
05/08/2019
Meta-learning of Sequential Strategies
In this report we review memory-based meta-learning as a tool for buildi...
research
∙
05/20/2017