Search Results for author: Rihan Hai

Found 3 papers, 1 papers with code

Model Selection with Model Zoo via Graph Learning

2 code implementations5 Apr 2024 Ziyu Li, Hilco van der Wilk, Danning Zhan, Megha Khosla, Alessandro Bozzon, Rihan Hai

Pre-trained deep learning (DL) models are increasingly accessible in public repositories, i. e., model zoos.

Graph Learning Model Selection

SiloFuse: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models

no code implementations4 Apr 2024 Aditya Shankar, Hans Brouwer, Rihan Hai, Lydia Chen

We introduce SiloFuse, a novel generative framework for high-quality synthesis from cross-silo tabular data.

Synthetic Data Generation

Metadata Representations for Queryable ML Model Zoos

no code implementations19 Jul 2022 Ziyu Li, Rihan Hai, Alessandro Bozzon, Asterios Katsifodimos

Machine learning (ML) practitioners and organizations are building model zoos of pre-trained models, containing metadata describing properties of the ML models and datasets that are useful for reporting, auditing, reproducibility, and interpretability purposes.

Management

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