Prabhant Singh

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Neural Architecture

Top Venues

Meta-Knowledge Transfer @ ECML/PKDD

Publications

Prabhant Singh, Pieter Gijsbers, Murat Onur Yildirim, Elif Ceren Gok, Joaquin Vanschoren
CLAMS: A System for Zero-Shot Model Selection for Clustering. CoRR (2024)
Ambarish Moharil, Joaquin Vanschoren, Prabhant Singh, Damian A. Tamburri
Towards efficient AutoML: a pipeline synthesis approach leveraging pre-trained transformers for multimodal data. Mach. Learn. 113 (9) (2024)
Prabhant Singh, Joaquin Vanschoren
Robust and Efficient Transfer Learning via Supernet Transfer in Warm-started Neural Architecture Search. CoRR (2024)
Bilge Celik, Prabhant Singh, Joaquin Vanschoren
Online AutoML: an adaptive AutoML framework for online learning. Mach. Learn. 112 (6) (2023)
Prabhant Singh, Joaquin Vanschoren
AutoML for Outlier Detection with Optimal Transport Distances. IJCAI (2023)
Prabhant Singh, Joaquin Vanschoren
Meta-Learning for Unsupervised Outlier Detection with Optimal Transport. CoRR (2022)
G. G. H. Franken, Prabhant Singh, Joaquin Vanschoren
EmProx: Neural Network Performance Estimation For Neural Architecture Search. CoRR (2022)
Prabhant Singh, Joaquin Vanschoren
Automated Imbalanced Learning. CoRR (2022)
Bilge Celik, Prabhant Singh, Joaquin Vanschoren
Online AutoML: An adaptive AutoML framework for online learning. CoRR (2022)
Gideon Franken, Prabhant Singh, Joaquin Vanschoren
Faster Performance Estimation for NAS with Embedding Proximity Score. Meta-Knowledge Transfer @ ECML/PKDD (2022)
Prabhant Singh, Tobias Jacobs, Sebastien Nicolas, Mischa Schmidt
A Study of the Learning Progress in Neural Architecture Search Techniques. CoRR (2019)