Prabhant Singh

According to our database, Prabhant Singh authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Towards efficient AutoML: a pipeline synthesis approach leveraging pre-trained transformers for multimodal data.

Ambarish Moharil, Joaquin Vanschoren, Prabhant Singh, Damian A. Tamburri

Mach. Learn., September, 2024

Robust and Efficient Transfer Learning via Supernet Transfer in Warm-started Neural Architecture Search.

Prabhant Singh, Joaquin Vanschoren

CoRR, 2024

CLAMS: A System for Zero-Shot Model Selection for Clustering.

Prabhant Singh, Pieter Gijsbers, Murat Onur Yildirim, Elif Ceren Gok, Joaquin Vanschoren

CoRR, 2024

2023

Online AutoML: an adaptive AutoML framework for online learning.

Bilge Celik, Prabhant Singh, Joaquin Vanschoren

Mach. Learn., June, 2023

AutoML for Outlier Detection with Optimal Transport Distances.

Prabhant Singh, Joaquin Vanschoren

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Automated Imbalanced Learning.

Prabhant Singh, Joaquin Vanschoren

CoRR, 2022

Meta-Learning for Unsupervised Outlier Detection with Optimal Transport.

Prabhant Singh, Joaquin Vanschoren

CoRR, 2022

EmProx: Neural Network Performance Estimation For Neural Architecture Search.

G. G. H. Franken, Prabhant Singh, Joaquin Vanschoren

CoRR, 2022

Faster Performance Estimation for NAS with Embedding Proximity Score.

Gideon Franken, Prabhant Singh, Joaquin Vanschoren

Proceedings of the ECML/PKDD Workshop on Meta-Knowledge Transfer, 2022

2019

A Study of the Learning Progress in Neural Architecture Search Techniques.

Prabhant Singh, Tobias Jacobs, Sebastien Nicolas, Mischa Schmidt

CoRR, 2019