Mazda Moayeri

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 26

Top Topics

Data Collection

Language Modeling

Risk Minimization

Discriminant Functions

Top Venues

Publications

Mazda Moayeri, Michael Rabbat, Mark Ibrahim, Diane Bouchacourt
Embracing Diversity: Interpretable Zero-shot Classification Beyond One Vector Per Class. FAccT (2024)
Mazda Moayeri, Samyadeep Basu, Sriram Balasubramanian, Priyatham Kattakinda, Atoosa Malemir Chegini, Robert Brauneis, Soheil Feizi
Rethinking Artistic Copyright Infringements in the Era of Text-to-Image Generative Models. CoRR (2024)
Keivan Rezaei, Mehrdad Saberi, Mazda Moayeri, Soheil Feizi
PRIME: Prioritizing Interpretability in Failure Mode Extraction. ICLR (2024)
Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra
An Introduction to Vision-Language Modeling. CoRR (2024)
Mazda Moayeri, Elham Tabassi, Soheil Feizi
WorldBench: Quantifying Geographic Disparities in LLM Factual Recall. FAccT (2024)
Arman Zarei, Keivan Rezaei, Samyadeep Basu, Mehrdad Saberi, Mazda Moayeri, Priyatham Kattakinda, Soheil Feizi
Understanding and Mitigating Compositional Issues in Text-to-Image Generative Models. CoRR (2024)
Sahil Singla, Atoosa Malemir Chegini, Mazda Moayeri, Soheil Feizi
Data-Centric Debugging: mitigating model failures via targeted image retrieval. WACV (2024)
Mazda Moayeri, Michael Rabbat, Mark Ibrahim, Diane Bouchacourt
Embracing Diversity: Interpretable Zero-shot classification beyond one vector per class. CoRR (2024)
Keivan Rezaei, Mehrdad Saberi, Mazda Moayeri, Soheil Feizi
PRIME: Prioritizing Interpretability in Failure Mode Extraction. CoRR (2023)
Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi
Text-To-Concept (and Back) via Cross-Model Alignment. ICML (2023)
Mazda Moayeri, Wenxiao Wang, Sahil Singla, Soheil Feizi
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases. NeurIPS (2023)
Thomas Fel, Victor Boutin, Louis Béthune, Rémi Cadène, Mazda Moayeri, Léo Andéol, Mathieu Chalvidal, Thomas Serre
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation. NeurIPS (2023)
Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi
Text2Concept: Concept Activation Vectors Directly from Text. CVPR Workshops (2023)
Thomas Fel, Victor Boutin, Mazda Moayeri, Rémi Cadène, Louis Béthune, Léo Andéol, Mathieu Chalvidal, Thomas Serre
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation. CoRR (2023)
Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi
Text-To-Concept (and Back) via Cross-Model Alignment. CoRR (2023)
Mazda Moayeri, Phillip Pope, Yogesh Balaji, Soheil Feizi
A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes. CVPR (2022)
Mazda Moayeri, Kiarash Banihashem, Soheil Feizi
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness. NeurIPS (2022)
Sahil Singla, Atoosa Malemir Chegini, Mazda Moayeri, Soheil Feizi
Data-Centric Debugging: mitigating model failures via targeted data collection. CoRR (2022)
Mazda Moayeri, Wenxiao Wang, Sahil Singla, Soheil Feizi
Spuriosity Rankings: Sorting Data for Spurious Correlation Robustness. CoRR (2022)
Sahil Singla, Mazda Moayeri, Soheil Feizi
Core Risk Minimization using Salient ImageNet. CoRR (2022)
Mazda Moayeri, Sahil Singla, Soheil Feizi
Hard ImageNet: Segmentations for Objects with Strong Spurious Cues. NeurIPS (2022)
Mazda Moayeri, Phillip Pope, Yogesh Balaji, Soheil Feizi
A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes. CoRR (2022)
Mazda Moayeri, Kiarash Banihashem, Soheil Feizi
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness. CoRR (2022)
Mazda Moayeri, Soheil Feizi
Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings. CoRR (2021)
Mazda Moayeri, Soheil Feizi
Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings. ICCV (2021)
Gino Brunner, Mazda Moayeri, Oliver Richter, Roger Wattenhofer, Chi Zhang
Neural Symbolic Music Genre Transfer Insights. PKDD/ECML Workshops (2) (2019)