Parmida Atighehchian

15 papers A* 2Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Prompt to Production:Automating Brand-Safe Marketing Imagery with Text-to-Image Models. CoRR Parmida Atighehchian, Henry Wang, Andrei Kapustin, Boris Lerner, Tiancheng Jiang, Taylor Jensen, Negin Sokhandan
2025	—	`conf`	Domain Adaptation of VLM for Soccer Video Understanding. CVPR Workshops Tiancheng Jiang, Henry Wang, Md Sirajus Salekin, Parmida Atighehchian, Shinan Zhang
2025	J	`jnl`	Domain Adaptation of VLM for Soccer Video Understanding. CoRR Tiancheng Jiang, Henry Wang, Md Sirajus Salekin, Parmida Atighehchian, Shinan Zhang
2023	J	`jnl`	Mitigating stereotypical biases in text to image generative systems. CoRR Piero Esposito, Parmida Atighehchian, Anastasis Germanidis, Deepti Ghadiyaram
2023	J	`jnl`	Stochastic Batch Acquisition: A Simple Baseline for Deep Active Learning. Trans. Mach. Learn. Res. Andreas Kirsch, Sebastian Farquhar, Parmida Atighehchian, Andrew Jesson, Frédéric Branchaud-Charron, Yarin Gal
2023	A*	`conf`	Structure and Content-Guided Video Synthesis with Diffusion Models. ICCV Patrick Esser, Johnathan Chiu, Parmida Atighehchian, Jonathan Granskog, Anastasis Germanidis
2023	J	`jnl`	Structure and Content-Guided Video Synthesis with Diffusion Models. CoRR Patrick Esser, Johnathan Chiu, Parmida Atighehchian, Jonathan Granskog, Anastasis Germanidis
2022	—	`conf`	Data Augmentation for Intent Classification with Off-the-shelf Large Language Models. ConvAI@ACL Gaurav Sahu, Pau Rodríguez, Issam H. Laradji, Parmida Atighehchian, David Vázquez, Dzmitry Bahdanau
2022	J	`jnl`	Data Augmentation for Intent Classification with Off-the-shelf Large Language Models. CoRR Gaurav Sahu, Pau Rodríguez, Issam H. Laradji, Parmida Atighehchian, David Vázquez, Dzmitry Bahdanau
2021	J	`jnl`	Can Active Learning Preemptively Mitigate Fairness Issues? CoRR Frédéric Branchaud-Charron, Parmida Atighehchian, Pau Rodríguez, Grace Abuhamad, Alexandre Lacoste
2020	J	`jnl`	A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images. CoRR Issam H. Laradji, Pau Rodríguez, Frederic Branchaud-Charron, Keegan Lensink, Parmida Atighehchian, William Parker, David Vázquez, Derek Nowrouzezahrai
2020	J	`jnl`	Bayesian active learning for production, a systematic study and a reusable library. CoRR Parmida Atighehchian, Frédéric Branchaud-Charron, Alexandre Lacoste
2020	A*	`conf`	Synbols: Probing Learning Algorithms with Synthetic Datasets. NeurIPS Alexandre Lacoste, Pau Rodríguez López, Frederic Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam Hadj Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vázquez
2020	J	`jnl`	Synbols: Probing Learning Algorithms with Synthetic Datasets. CoRR Alexandre Lacoste, Pau Rodríguez, Frédéric Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam H. Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vázquez
2019	J	`jnl`	DECoVaC: Design of Experiments with Controlled Variability Components. CoRR Thomas Boquet, Laure Delisle, Denis Kochetkov, Nathan Schucher, Parmida Atighehchian, Boris N. Oreshkin, Julien Cornebise