Parmida Atighehchian | DeepAI

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∙ 02/06/2023

Structure and Content-Guided Video Synthesis with Diffusion Models

Text-guided generative diffusion models unlock powerful image creation a...

0 Patrick Esser, et al. ∙

∙ 04/05/2022

Data Augmentation for Intent Classification with Off-the-shelf Large Language Models

Data augmentation is a widely employed technique to alleviate the proble...

13 Gaurav Sahu, et al. ∙

∙ 04/14/2021

Can Active Learning Preemptively Mitigate Fairness Issues?

Dataset bias is one of the prevailing causes of unfairness in machine le...

13 Frederic Branchaud-Charron, et al. ∙

∙ 09/14/2020

Synbols: Probing Learning Algorithms with Synthetic Datasets

Progress in the field of machine learning has been fueled by the introdu...

58 Alexandre Lacoste, et al. ∙

∙ 06/17/2020

Bayesian active learning for production, a systematic study and a reusable library

Active learning is able to reduce the amount of labelling effort by usin...

1 Parmida Atighehchian, et al. ∙

∙ 09/21/2019

DECoVaC: Design of Experiments with Controlled Variability Components

Reproducible research in Machine Learning has seen a salutary abundance ...

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