Mazda Moayeri

According to our database, Mazda Moayeri authored at least 20 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models.

Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran, Safoora Yousefi, Thomas Fel, Soheil Feizi, Besmira Nushi, Neel Joshi, Vibhav Vineet

CoRR, 2024

Understanding and Mitigating Compositional Issues in Text-to-Image Generative Models.

Arman Zarei, Keivan Rezaei, Samyadeep Basu, Mehrdad Saberi, Mazda Moayeri, Priyatham Kattakinda, Soheil Feizi

CoRR, 2024

An Introduction to Vision-Language Modeling.

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

CoRR, 2024

Rethinking Artistic Copyright Infringements in the Era of Text-to-Image Generative Models.

Mazda Moayeri, Samyadeep Basu, Sriram Balasubramanian, Priyatham Kattakinda, Atoosa Malemir Chegini, Robert Brauneis, Soheil Feizi

CoRR, 2024

Data-Centric Debugging: mitigating model failures via targeted image retrieval.

Sahil Singla, Atoosa Malemir Chegini, Mazda Moayeri, Soheil Feizi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

PRIME: Prioritizing Interpretability in Failure Mode Extraction.

Keivan Rezaei, Mehrdad Saberi, Mazda Moayeri, Soheil Feizi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

WorldBench: Quantifying Geographic Disparities in LLM Factual Recall.

Mazda Moayeri, Elham Tabassi, Soheil Feizi

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Embracing Diversity: Interpretable Zero-shot Classification Beyond One Vector Per Class.

Mazda Moayeri, Michael Rabbat, Mark Ibrahim, Diane Bouchacourt

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023

Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases.

Mazda Moayeri, Wenxiao Wang, Sahil Singla, Soheil Feizi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation.

Thomas Fel, Victor Boutin, Louis Béthune, Rémi Cadène, Mazda Moayeri, Léo Andéol, Mathieu Chalvidal, Thomas Serre

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Text-To-Concept (and Back) via Cross-Model Alignment.

Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi

Proceedings of the International Conference on Machine Learning, 2023

Text2Concept: Concept Activation Vectors Directly from Text.

Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Spuriosity Rankings: Sorting Data for Spurious Correlation Robustness.

Mazda Moayeri, Wenxiao Wang, Sahil Singla, Soheil Feizi

CoRR, 2022

Data-Centric Debugging: mitigating model failures via targeted data collection.

Sahil Singla, Atoosa Malemir Chegini, Mazda Moayeri, Soheil Feizi

CoRR, 2022

Core Risk Minimization using Salient ImageNet.

Sahil Singla, Mazda Moayeri, Soheil Feizi

CoRR, 2022

Explicit Tradeoffs between Adversarial and Natural Distributional Robustness.

Mazda Moayeri, Kiarash Banihashem, Soheil Feizi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Hard ImageNet: Segmentations for Objects with Strong Spurious Cues.

Mazda Moayeri, Sahil Singla, Soheil Feizi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes.

Mazda Moayeri, Phillip Pope, Yogesh Balaji, Soheil Feizi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings.

Mazda Moayeri, Soheil Feizi

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2019

Neural Symbolic Music Genre Transfer Insights.

Gino Brunner, Mazda Moayeri, Oliver Richter, Roger Wattenhofer, Chi Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019