Parmida Atighehchian

According to our database, Parmida Atighehchian authored at least 9 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Stochastic Batch Acquisition: A Simple Baseline for Deep Active Learning.

Andreas Kirsch, Sebastian Farquhar, Parmida Atighehchian, Andrew Jesson, Frédéric Branchaud-Charron, Yarin Gal

Trans. Mach. Learn. Res., 2023

Mitigating stereotypical biases in text to image generative systems.

Piero Esposito, Parmida Atighehchian, Anastasis Germanidis, Deepti Ghadiyaram

CoRR, 2023

Structure and Content-Guided Video Synthesis with Diffusion Models.

Patrick Esser, Johnathan Chiu, Parmida Atighehchian, Jonathan Granskog, Anastasis Germanidis

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

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

Gaurav Sahu, Pau Rodríguez, Issam H. Laradji, Parmida Atighehchian, David Vázquez, Dzmitry Bahdanau

Proceedings of the 4th Workshop on NLP for Conversational AI, 2022

2021

Can Active Learning Preemptively Mitigate Fairness Issues?

Frédéric Branchaud-Charron, Parmida Atighehchian, Pau Rodríguez, Grace Abuhamad, Alexandre Lacoste

CoRR, 2021

2020

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

Issam H. Laradji, Pau Rodríguez, Frederic Branchaud-Charron, Keegan Lensink, Parmida Atighehchian, William Parker, David Vázquez, Derek Nowrouzezahrai

CoRR, 2020

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

Parmida Atighehchian, Frédéric Branchaud-Charron, Alexandre Lacoste

CoRR, 2020

Synbols: Probing Learning Algorithms with Synthetic Datasets.

Alexandre Lacoste, Pau Rodríguez López, Frederic Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam Hadj Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vázquez

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

DECoVaC: Design of Experiments with Controlled Variability Components.

Thomas Boquet, Laure Delisle, Denis Kochetkov, Nathan Schucher, Parmida Atighehchian, Boris N. Oreshkin, Julien Cornebise

CoRR, 2019