Search Results for author: Taraneh Younesian

Found 7 papers, 1 papers with code

GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks

1 code implementation5 Oct 2023 Taraneh Younesian, Daniel Daza, Emile van Krieken, Thiviyan Thanapalasingam, Peter Bloem

To this end, we introduce GRAPES, an adaptive sampling method that learns to identify the set of nodes crucial for training a GNN.

Graph Sampling Node Classification

End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models

no code implementations13 Nov 2020 Taraneh Younesian, Chi Hong, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen

Furthermore, relabeling only 10% of the data using the expert's results in over 90% classification accuracy with SVM.

BIG-bench Machine Learning

Active Learning for Noisy Data Streams Using Weak and Strong Labelers

no code implementations27 Oct 2020 Taraneh Younesian, Dick Epema, Lydia Y. Chen

Labeling data correctly is an expensive and challenging task in machine learning, especially for on-line data streams.

Active Learning Image Classification +1

TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise

no code implementations13 Jul 2020 Amirmasoud Ghiassi, Taraneh Younesian, Robert Birke, Lydia Y. Chen

Based on the insights, we design TrustNet that first adversely learns the pattern of noise corruption, being it both symmetric or asymmetric, from a small set of trusted data.

QActor: On-line Active Learning for Noisy Labeled Stream Data

no code implementations28 Jan 2020 Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen

A central feature of QActor is to dynamically adjust the query limit according to the learning loss for each data batch.

Active Learning

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