Abdollahzadeh, Milad

9 publications

TMLR 2025 A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot Milad Abdollahzadeh, Guimeng Liu, Touba Malekzadeh, Christopher T.H Teo, Keshigeyan Chandrasegaran, Ngai-Man Cheung

NeurIPS 2024 FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation Christopher T. H. Teo, Milad Abdollahzadeh, Xinda Ma, Ngai-Man Cheung

CVPR 2023 Exploring Incompatible Knowledge Transfer in Few-Shot Image Generation Yunqing Zhao, Chao Du, Milad Abdollahzadeh, Tianyu Pang, Min Lin, Shuicheng Yan, Ngai-Man Cheung

AAAI 2023 Fair Generative Models via Transfer Learning Christopher T. H. Teo, Milad Abdollahzadeh, Ngai-Man Cheung

NeurIPS 2023 Label-Only Model Inversion Attacks via Knowledge Transfer Bao-Ngoc Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung

NeurIPS 2023 On Measuring Fairness in Generative Models Christopher Teo, Milad Abdollahzadeh, Ngai-Man Cheung

CVPR 2023 Re-Thinking Model Inversion Attacks Against Deep Neural Networks Ngoc-Bao Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung

NeurIPS 2022 Few-Shot Image Generation via Adaptation-Aware Kernel Modulation Yunqing Zhao, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung

NeurIPS 2021 Revisit Multimodal Meta-Learning Through the Lens of Multi-Task Learning Milad Abdollahzadeh, Touba Malekzadeh, Ngai-Man Cheung