Picture for Parmida Atighehchian

Parmida Atighehchian

Mitigating stereotypical biases in text to image generative systems

Add code
Oct 10, 2023
Viaarxiv icon

Structure and Content-Guided Video Synthesis with Diffusion Models

Add code
Feb 06, 2023
Viaarxiv icon

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

Add code
Apr 05, 2022
Figure 1 for Data Augmentation for Intent Classification with Off-the-shelf Large Language Models
Figure 2 for Data Augmentation for Intent Classification with Off-the-shelf Large Language Models
Figure 3 for Data Augmentation for Intent Classification with Off-the-shelf Large Language Models
Figure 4 for Data Augmentation for Intent Classification with Off-the-shelf Large Language Models
Viaarxiv icon

Can Active Learning Preemptively Mitigate Fairness Issues?

Add code
Apr 14, 2021
Figure 1 for Can Active Learning Preemptively Mitigate Fairness Issues?
Figure 2 for Can Active Learning Preemptively Mitigate Fairness Issues?
Figure 3 for Can Active Learning Preemptively Mitigate Fairness Issues?
Figure 4 for Can Active Learning Preemptively Mitigate Fairness Issues?
Viaarxiv icon

Synbols: Probing Learning Algorithms with Synthetic Datasets

Add code
Sep 14, 2020
Figure 1 for Synbols: Probing Learning Algorithms with Synthetic Datasets
Figure 2 for Synbols: Probing Learning Algorithms with Synthetic Datasets
Figure 3 for Synbols: Probing Learning Algorithms with Synthetic Datasets
Figure 4 for Synbols: Probing Learning Algorithms with Synthetic Datasets
Viaarxiv icon

A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images

Add code
Jul 07, 2020
Figure 1 for A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images
Figure 2 for A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images
Figure 3 for A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images
Figure 4 for A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images
Viaarxiv icon

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

Add code
Jun 17, 2020
Figure 1 for Bayesian active learning for production, a systematic study and a reusable library
Figure 2 for Bayesian active learning for production, a systematic study and a reusable library
Figure 3 for Bayesian active learning for production, a systematic study and a reusable library
Figure 4 for Bayesian active learning for production, a systematic study and a reusable library
Viaarxiv icon

DECoVaC: Design of Experiments with Controlled Variability Components

Add code
Sep 21, 2019
Figure 1 for DECoVaC: Design of Experiments with Controlled Variability Components
Figure 2 for DECoVaC: Design of Experiments with Controlled Variability Components
Figure 3 for DECoVaC: Design of Experiments with Controlled Variability Components
Figure 4 for DECoVaC: Design of Experiments with Controlled Variability Components
Viaarxiv icon