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ORCIDParmida Atighehchian
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2020 – today
- 2023
[j1]Andreas Kirsch, Sebastian Farquhar, Parmida Atighehchian, Andrew Jesson, Frédéric Branchaud-Charron, Yarin Gal:
Stochastic Batch Acquisition: A Simple Baseline for Deep Active Learning. Trans. Mach. Learn. Res. 2023 (2023)- [c3]Patrick Esser, Johnathan Chiu, Parmida Atighehchian, Jonathan Granskog, Anastasis Germanidis:
Structure and Content-Guided Video Synthesis with Diffusion Models. ICCV 2023: 7312-7322 - [i8]Patrick Esser, Johnathan Chiu, Parmida Atighehchian, Jonathan Granskog, Anastasis Germanidis:
Structure and Content-Guided Video Synthesis with Diffusion Models. CoRR abs/2302.03011 (2023) - [i7]Piero Esposito, Parmida Atighehchian, Anastasis Germanidis, Deepti Ghadiyaram:
Mitigating stereotypical biases in text to image generative systems. CoRR abs/2310.06904 (2023) - 2022
- [c2]Gaurav Sahu, Pau Rodríguez, Issam H. Laradji, Parmida Atighehchian, David Vázquez, Dzmitry Bahdanau:
Data Augmentation for Intent Classification with Off-the-shelf Large Language Models. ConvAI@ACL 2022: 47-57 - [i6]Gaurav Sahu, Pau Rodríguez, Issam H. Laradji, Parmida Atighehchian, David Vázquez, Dzmitry Bahdanau:
Data Augmentation for Intent Classification with Off-the-shelf Large Language Models. CoRR abs/2204.01959 (2022) - 2021
- [i5]Frédéric Branchaud-Charron, Parmida Atighehchian, Pau Rodríguez, Grace Abuhamad, Alexandre Lacoste:
Can Active Learning Preemptively Mitigate Fairness Issues? CoRR abs/2104.06879 (2021) - 2020
- [c1]Alexandre Lacoste, Pau Rodríguez López, Frederic Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam Hadj Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vázquez:
Synbols: Probing Learning Algorithms with Synthetic Datasets. NeurIPS 2020 - [i4]Parmida Atighehchian, Frédéric Branchaud-Charron, Alexandre Lacoste:
Bayesian active learning for production, a systematic study and a reusable library. CoRR abs/2006.09916 (2020) - [i3]Issam H. Laradji, Pau Rodríguez, Frederic Branchaud-Charron, Keegan Lensink, Parmida Atighehchian, William Parker, David Vázquez, Derek Nowrouzezahrai:
A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images. CoRR abs/2007.07012 (2020) - [i2]Alexandre Lacoste, Pau Rodríguez, Frédéric Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam H. Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vázquez:
Synbols: Probing Learning Algorithms with Synthetic Datasets. CoRR abs/2009.06415 (2020)
2010 – 2019
- 2019
- [i1]Thomas Boquet, Laure Delisle, Denis Kochetkov, Nathan Schucher, Parmida Atighehchian, Boris N. Oreshkin, Julien Cornebise:
DECoVaC: Design of Experiments with Controlled Variability Components. CoRR abs/1909.09859 (2019)
Coauthor Index
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