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Mazda Moayeri
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2020 – today
- 2024
- [c13]Mazda Moayeri
, Elham Tabassi
WorldBench: Quantifying Geographic Disparities in LLM Factual Recall. FAccT 2024: 1211-1228 - [c12]Mazda Moayeri
Embracing Diversity: Interpretable Zero-shot Classification Beyond One Vector Per Class. FAccT 2024: 2302-2321 - [c11]Keivan Rezaei, Mehrdad Saberi, Mazda Moayeri, Soheil Feizi:
PRIME: Prioritizing Interpretability in Failure Mode Extraction. ICLR 2024 - [c10]Sahil Singla, Atoosa Malemir Chegini, Mazda Moayeri, Soheil Feizi:
Data-Centric Debugging: mitigating model failures via targeted image retrieval. WACV 2024: 63-74 - [i14]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 abs/2404.08030 (2024) - [i13]Mazda Moayeri, Michael Rabbat, Mark Ibrahim, Diane Bouchacourt:
Embracing Diversity: Interpretable Zero-shot classification beyond one vector per class. CoRR abs/2404.16717 (2024) - [i12]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 abs/2405.17247 (2024) - [i11]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 abs/2406.07844 (2024) - [i10]Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran, Safoora Yousefi, Thomas Fel, Soheil Feizi, Besmira Nushi, Neel Joshi, Vibhav Vineet:
Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models. CoRR abs/2410.13826 (2024) - 2023
- [c9]Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi:
Text2Concept: Concept Activation Vectors Directly from Text. CVPR Workshops 2023: 3744-3749 - [c8]Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi:
Text-To-Concept (and Back) via Cross-Model Alignment. ICML 2023: 25037-25060 - [c7]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 - [c6]Mazda Moayeri, Wenxiao Wang, Sahil Singla, Soheil Feizi:
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases. NeurIPS 2023 - [i9]Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi:
Text-To-Concept (and Back) via Cross-Model Alignment. CoRR abs/2305.06386 (2023) - [i8]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 abs/2306.07304 (2023) - [i7]Keivan Rezaei, Mehrdad Saberi, Mazda Moayeri, Soheil Feizi:
PRIME: Prioritizing Interpretability in Failure Mode Extraction. CoRR abs/2310.00164 (2023) - 2022
- [c5]Mazda Moayeri, Phillip Pope, Yogesh Balaji, Soheil Feizi:
A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes. CVPR 2022: 19065-19075 - [c4]Mazda Moayeri, Sahil Singla, Soheil Feizi:
Hard ImageNet: Segmentations for Objects with Strong Spurious Cues. NeurIPS 2022 - [c3]Mazda Moayeri, Kiarash Banihashem, Soheil Feizi:
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness. NeurIPS 2022 - [i6]Mazda Moayeri, Phillip Pope, Yogesh Balaji, Soheil Feizi:
A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes. CoRR abs/2201.10766 (2022) - [i5]Sahil Singla, Mazda Moayeri, Soheil Feizi:
Core Risk Minimization using Salient ImageNet. CoRR abs/2203.15566 (2022) - [i4]Mazda Moayeri, Kiarash Banihashem, Soheil Feizi:
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness. CoRR abs/2209.07592 (2022) - [i3]Sahil Singla, Atoosa Malemir Chegini, Mazda Moayeri, Soheil Feizi:
Data-Centric Debugging: mitigating model failures via targeted data collection. CoRR abs/2211.09859 (2022) - [i2]Mazda Moayeri, Wenxiao Wang, Sahil Singla, Soheil Feizi:
Spuriosity Rankings: Sorting Data for Spurious Correlation Robustness. CoRR abs/2212.02648 (2022) - 2021
- [c2]Mazda Moayeri, Soheil Feizi:
Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings. ICCV 2021: 7657-7666 - [i1]Mazda Moayeri, Soheil Feizi:
Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings. CoRR abs/2108.13797 (2021)
2010 – 2019
- 2019
- [c1]Gino Brunner, Mazda Moayeri, Oliver Richter, Roger Wattenhofer, Chi Zhang:
Neural Symbolic Music Genre Transfer Insights. PKDD/ECML Workshops (2) 2019: 437-445
Coauthor Index
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last updated on 2024-11-26 20:45 CET by the dblp team
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