:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sardina, Jeffrey, Kelleher, John D., O'Sullivan, Declan
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2412.14801
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models
by: Sardina, Jeffrey, et al.
Published: (2024)

A Survey on Knowledge Graph Structure and Knowledge Graph Embeddings
by: Sardina, Jeffrey, et al.
Published: (2024)

Structural Alignment in Link Prediction
by: Sardina, Jeffrey Seathrún
Published: (2025)

Veni, Vidi, Vici: Solving the Myriad of Challenges before Knowledge Graph Learning
by: Sardina, Jeffrey, et al.
Published: (2024)

Predicted-occupancy grids for vehicle safety applications based on autoencoders and the Random Forest algorithm
by: Nadarajan, Parthasarathy, et al.
Published: (2025)

Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators
by: Li, Shanda, et al.
Published: (2025)

Machine Learning Architectures for the Estimation of Predicted Occupancy Grids in Road Traffic
by: Nadarajan, Parthasarathy, et al.
Published: (2025)

Pre-Hoc Predictions in AutoML: Leveraging LLMs to Enhance Model Selection and Benchmarking for Tabular datasets
by: Belkhiter, Yannis, et al.
Published: (2025)

Hyperparameter Selection in Continual Learning
by: Lee, Thomas L., et al.
Published: (2024)

Selecting Hyperparameters for Tree-Boosting
by: Koster, Floris Jan, et al.
Published: (2026)

The Role of Hyperparameters in Predictive Multiplicity
by: Cavus, Mustafa, et al.
Published: (2025)

Frequency-Based Hyperparameter Selection in Games
by: Sanyal, Aniket, et al.
Published: (2026)

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs
by: Farzaneh, Amirmohammad, et al.
Published: (2025)

A framework for measuring the training efficiency of a neural architecture
by: Cueto-Mendoza, Eduardo, et al.
Published: (2024)

Interpreting a Semantic Segmentation Model for Coastline Detection
by: O'Sullivan, Conor, et al.
Published: (2024)

A Generalization Theory for Zero-Shot Prediction
by: Mehta, Ronak, et al.
Published: (2025)

Bridging conformal prediction and scenario optimization
by: O'Sullivan, Niall, et al.
Published: (2025)

Predicting Language Models' Success at Zero-Shot Probabilistic Prediction
by: Ren, Kevin, et al.
Published: (2025)

From Few-Shot to Zero-Shot: Towards Generalist Graph Anomaly Detection
by: Liu, Yixin, et al.
Published: (2026)

Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference
by: McNamara, Declan, et al.
Published: (2024)

Prediction of Coffee Ratings Based On Influential Attributes Using SelectKBest and Optimal Hyperparameters
by: Agyemang, Edmund, et al.
Published: (2025)

Globally Convergent Variational Inference
by: McNamara, Declan, et al.
Published: (2025)

LLMs as In-Context Meta-Learners for Model and Hyperparameter Selection
by: Hili, Youssef Attia El, et al.
Published: (2025)

A Graph Based Raman Spectral Processing Technique for Exosome Classification
by: Ngo, Vuong M., et al.
Published: (2025)

Towards Utilising a Range of Neural Activations for Comprehending Representational Associations
by: O'Mahony, Laura, et al.
Published: (2024)

On the Detection of Anomalous or Out-Of-Distribution Data in Vision Models Using Statistical Techniques
by: O'Mahony, Laura, et al.
Published: (2024)

Zero-Shot Relational Learning for Multimodal Knowledge Graphs
by: Cai, Rui, et al.
Published: (2024)

Masked Extended Attention for Zero-Shot Virtual Try-On In The Wild
by: Orzech, Nadav, et al.
Published: (2024)

Semantic-Inductive Attribute Selection for Zero-Shot Learning
by: Herrera-Aranda, Juan Jose, et al.
Published: (2025)

GLIP-OOD: Zero-Shot Graph OOD Detection with Graph Foundation Model
by: Xu, Haoyan, et al.
Published: (2025)

Optimising 4th-Order Runge-Kutta Methods: A Dynamic Heuristic Approach for Efficiency and Low Storage
by: Goodship, Gavin Lee, et al.
Published: (2025)

Protein Language Model Zero-Shot Fitness Predictions are Improved by Inference-only Dropout
by: Ravuri, Aditya, et al.
Published: (2025)

LLM-FS: Zero-Shot Feature Selection for Effective and Interpretable Malware Detection
by: Gill, Naveen, et al.
Published: (2026)

Zero-Shot Robustification of Zero-Shot Models
by: Adila, Dyah, et al.
Published: (2023)

The Initial Exploration Problem in Knowledge Graph Exploration
by: McNamara, Claire, et al.
Published: (2026)

ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
by: Li, Yuhan, et al.
Published: (2024)

Ensuring Reliability via Hyperparameter Selection: Review and Advances
by: Farzaneh, Amirmohammad, et al.
Published: (2025)

CLAMS: A System for Zero-Shot Model Selection for Clustering
by: Singh, Prabhant, et al.
Published: (2024)

Zero-Shot Performance Prediction for Probabilistic Scaling Laws
by: Schram, Viktoria, et al.
Published: (2025)

Active Learning and Transfer Learning for Anomaly Detection in Time-Series Data
by: Kelleher, John D., et al.
Published: (2025)