Prabhant Singh

20 papers A* 1Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Automated Machine Learning for Unsupervised Tabular Tasks.
Mach. Learn.
Prabhant Singh, Pieter Gijsbers, Elif Ceren Gok Yildirim, Murat Onur Yildirim, Joaquin Vanschoren
2025 — conf
Analysis of Transferability Estimation Metrics for Surgical Phase Recognition.
DEMI@MICCAI
Prabhant Singh, Yiping Li, Yasmina Al Khalil
2025 J jnl
Analysis of Transferability Estimation Metrics for Surgical Phase Recognition.
CoRR
Prabhant Singh, Yiping Li, Yasmina Al Khalil
2025 J jnl
Automated Machine Learning for Unsupervised Tabular Tasks.
CoRR
Prabhant Singh, Pieter Gijsbers, Elif Ceren Gok Yildirim, Murat Onur Yildirim, Joaquin Vanschoren
2025 J jnl
How NOT to benchmark your SITE metric: Beyond Static Leaderboards and Towards Realistic Evaluation.
CoRR
Prabhant Singh, Sibylle Hess, Joaquin Vanschoren
2025 J jnl
Meta-Learning Transformers to Improve In-Context Generalization.
CoRR
Lorenzo Braccaioli, Anna Vettoruzzo, Prabhant Singh, Joaquin Vanschoren, Mohamed-Rafik Bouguelia, Nicola Conci
2025 J jnl
Occam's model: Selecting simpler representations for better transferability estimation.
CoRR
Prabhant Singh, Sibylle Hess, Joaquin Vanschoren
2025 J jnl
OpenML: Insights from 10 years and more than a thousand papers.
Patterns
Bernd Bischl, Giuseppe Casalicchio, Taniya Das, Matthias Feurer, Sebastian Fischer, Pieter Gijsbers, Subhaditya Mukherjee, Andreas C. Müller, László Németh, Luis Oala, Lennart Purucker, Sahithya Ravi, Jan N. van Rijn, Prabhant Singh, Joaquin Vanschoren, Jos van der Velde, Marcel Wever
2024 J jnl
CLAMS: A System for Zero-Shot Model Selection for Clustering.
CoRR
Prabhant Singh, Pieter Gijsbers, Murat Onur Yildirim, Elif Ceren Gok, Joaquin Vanschoren
2024 J jnl
On dataset transferability in medical image classification.
CoRR
Dovile Juodelyte, Enzo Ferrante, Yucheng Lu, Prabhant Singh, Joaquin Vanschoren, Veronika Cheplygina
2024 J jnl
Robust and Efficient Transfer Learning via Supernet Transfer in Warm-started Neural Architecture Search.
CoRR
Prabhant Singh, Joaquin Vanschoren
2024 J jnl
Towards efficient AutoML: a pipeline synthesis approach leveraging pre-trained transformers for multimodal data.
Mach. Learn.
Ambarish Moharil, Joaquin Vanschoren, Prabhant Singh, Damian A. Tamburri
2023 A* conf
AutoML for Outlier Detection with Optimal Transport Distances.
IJCAI
Prabhant Singh, Joaquin Vanschoren
2023 J jnl
Online AutoML: an adaptive AutoML framework for online learning.
Mach. Learn.
Bilge Celik, Prabhant Singh, Joaquin Vanschoren
2022 J jnl
Automated Imbalanced Learning.
CoRR
Prabhant Singh, Joaquin Vanschoren
2022 J jnl
EmProx: Neural Network Performance Estimation For Neural Architecture Search.
CoRR
G. G. H. Franken, Prabhant Singh, Joaquin Vanschoren
2022 — conf
Faster Performance Estimation for NAS with Embedding Proximity Score.
Meta-Knowledge Transfer @ ECML/PKDD
Gideon Franken, Prabhant Singh, Joaquin Vanschoren
2022 J jnl
Meta-Learning for Unsupervised Outlier Detection with Optimal Transport.
CoRR
Prabhant Singh, Joaquin Vanschoren
2022 J jnl
Online AutoML: An adaptive AutoML framework for online learning.
CoRR
Bilge Celik, Prabhant Singh, Joaquin Vanschoren
2019 J jnl
A Study of the Learning Progress in Neural Architecture Search Techniques.
CoRR
Prabhant Singh, Tobias Jacobs, Sebastien Nicolas, Mischa Schmidt