Articles by Luis Oala | Synthical

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14

Croissant: A Metadata Format for ML-Ready Datasets

9 December 2024 by Mubashara Akhtar and others at

Machine Learning, Artificial Intelligence

Generative Fractional Diffusion Models

31 October 2024 by Gabriel Nobis and others at

Ghent University

Machine Learning

DMLR: Data-centric Machine Learning Research -- Past, Present and Future

1 June 2024 by Luis Oala and others at

Carnegie Mellon University

Machine Learning, Artificial Intelligence

Introducing v0.5 of the AI Safety Benchmark from MLCommons

13 May 2024 by Bertie Vidgen and others

Computation and Language, Artificial Intelligence

DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology

25 October 2023 by Marco Aversa and others

Image and Video Processing, Computer Vision and Pattern Recognition

Localized Data Work as a Precondition for Data-Centric ML: A Case Study of Full Lifecycle Crop Disease Identification in Ghana

4 July 2023 by Darlington Akogo and others

Machine Learning, Computer Vision and Pattern Recognition

Data Models for Dataset Drift Controls in Machine Learning With Images

19 January 2023 by Luis Oala and others

Machine Learning, Artificial Intelligence

Machine Learning for Health symposium 2022 -- Extended Abstract track

28 November 2022 by Antonio Parziale and others

Machine Learning

A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021

30 November 2021 by Fabian Falck and others

Machine Learning

More Than Meets The Eye: Semi-supervised Learning Under Non-IID Data

20 April 2021 by Saul Calderon-Ramirez and Luis Oala

Machine Learning, Computer Vision and Pattern Recognition

Post-Hoc Domain Adaptation via Guided Data Homogenization

8 April 2021 by Kurt Willis and Luis Oala

Machine Learning, Artificial Intelligence

MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures

14 June 2020 by Saul Calderon-Ramirez and others

Machine Learning

Interval Neural Networks as Instability Detectors for Image Reconstructions

27 March 2020 by Jan Macdonald and others

Image and Video Processing, Computer Vision and Pattern Recognition

Interval Neural Networks: Uncertainty Scores

25 March 2020 by Luis Oala and others

Machine Learning, Computer Vision and Pattern Recognition

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Machine Learning Computer Vision and Pattern Recognition Artificial Intelligence Image and Video Processing Distributed, Parallel, and Cluster Computing Signal Processing Databases Information Retrieval Computation and Language Neural and Evolutionary Computing