Mazda Moayeri - RankMe

34 papers A* 11A 1Journal 16Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	DyePack: Provably Flagging Test Set Contamination in LLMs Using Backdoors. EMNLP Yize Cheng, Wenxiao Wang, Mazda Moayeri, Soheil Feizi
2025	J	`jnl`	DyePack: Provably Flagging Test Set Contamination in LLMs Using Backdoors. CoRR Yize Cheng, Wenxiao Wang, Mazda Moayeri, Soheil Feizi
2025	—	`conf`	Mitigating Compositional Failures in Text-to-Image Models with Causal Text Embedding Refinement. PerCom Workshops Arman Zarei, Keivan Rezaei, Samyadeep Basu, Mehrdad Saberi, Mazda Moayeri, Priyatham Kattakinda, Adrienne Raglin, Anjon Basak, Soheil Feizi
2025	A*	`conf`	Rethinking Artistic Copyright Infringements In the Era Of Text-to-Image Generative Models. ICLR Mazda Moayeri, Sriram Balasubramanian, Samyadeep Basu, Priyatham Kattakinda, Atoosa Malemir Chegini, Robert Brauneis, Soheil Feizi
2025	J	`jnl`	Seeing What's Not There: Spurious Correlation in Multimodal LLMs. CoRR Parsa Hosseini, Sumit Nawathe, Mazda Moayeri, Sriram Balasubramanian, Soheil Feizi
2025	A*	`conf`	Unearthing Skill-level Insights for Understanding Trade-offs of Foundation Models. ICLR Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran, Safoora Yousefi, Thomas Fel, Soheil Feizi, Besmira Nushi, Neel Joshi, Vibhav Vineet
2024	J	`jnl`	An Introduction to Vision-Language Modeling. CoRR 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
2024	A	`conf`	Data-Centric Debugging: mitigating model failures via targeted image retrieval. WACV Sahil Singla, Atoosa Malemir Chegini, Mazda Moayeri, Soheil Feizi
2024	—	`conf`	Embracing Diversity: Interpretable Zero-shot Classification Beyond One Vector Per Class. FAccT Mazda Moayeri, Michael Rabbat, Mark Ibrahim, Diane Bouchacourt
2024	J	`jnl`	Embracing Diversity: Interpretable Zero-shot classification beyond one vector per class. CoRR Mazda Moayeri, Michael Rabbat, Mark Ibrahim, Diane Bouchacourt
2024	A*	`conf`	PRIME: Prioritizing Interpretability in Failure Mode Extraction. ICLR Keivan Rezaei, Mehrdad Saberi, Mazda Moayeri, Soheil Feizi
2024	J	`jnl`	Rethinking Artistic Copyright Infringements in the Era of Text-to-Image Generative Models. CoRR Mazda Moayeri, Samyadeep Basu, Sriram Balasubramanian, Priyatham Kattakinda, Atoosa Malemir Chegini, Robert Brauneis, Soheil Feizi
2024	J	`jnl`	Understanding and Mitigating Compositional Issues in Text-to-Image Generative Models. CoRR Arman Zarei, Keivan Rezaei, Samyadeep Basu, Mehrdad Saberi, Mazda Moayeri, Priyatham Kattakinda, Soheil Feizi
2024	J	`jnl`	Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models. CoRR Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran, Safoora Yousefi, Thomas Fel, Soheil Feizi, Besmira Nushi, Neel Joshi, Vibhav Vineet
2024	—	`conf`	WorldBench: Quantifying Geographic Disparities in LLM Factual Recall. FAccT Mazda Moayeri, Elham Tabassi, Soheil Feizi
2023	A*	`conf`	A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation. NeurIPS Thomas Fel, Victor Boutin, Louis Béthune, Rémi Cadène, Mazda Moayeri, Léo Andéol, Mathieu Chalvidal, Thomas Serre
2023	J	`jnl`	A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation. CoRR Thomas Fel, Victor Boutin, Mazda Moayeri, Rémi Cadène, Louis Béthune, Léo Andéol, Mathieu Chalvidal, Thomas Serre
2023	J	`jnl`	PRIME: Prioritizing Interpretability in Failure Mode Extraction. CoRR Keivan Rezaei, Mehrdad Saberi, Mazda Moayeri, Soheil Feizi
2023	A*	`conf`	Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases. NeurIPS Mazda Moayeri, Wenxiao Wang, Sahil Singla, Soheil Feizi
2023	A*	`conf`	Text-To-Concept (and Back) via Cross-Model Alignment. ICML Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi
2023	J	`jnl`	Text-To-Concept (and Back) via Cross-Model Alignment. CoRR Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi
2023	—	`conf`	Text2Concept: Concept Activation Vectors Directly From Text. XAI4CV Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi
2023	—	`conf`	Text2Concept: Concept Activation Vectors Directly from Text. CVPR Workshops Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi
2022	A*	`conf`	A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes. CVPR Mazda Moayeri, Phillip Pope, Yogesh Balaji, Soheil Feizi
2022	J	`jnl`	A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes. CoRR Mazda Moayeri, Phillip Pope, Yogesh Balaji, Soheil Feizi
2022	J	`jnl`	Core Risk Minimization using Salient ImageNet. CoRR Sahil Singla, Mazda Moayeri, Soheil Feizi
2022	J	`jnl`	Data-Centric Debugging: mitigating model failures via targeted data collection. CoRR Sahil Singla, Atoosa Malemir Chegini, Mazda Moayeri, Soheil Feizi
2022	A*	`conf`	Explicit Tradeoffs between Adversarial and Natural Distributional Robustness. NeurIPS Mazda Moayeri, Kiarash Banihashem, Soheil Feizi
2022	J	`jnl`	Explicit Tradeoffs between Adversarial and Natural Distributional Robustness. CoRR Mazda Moayeri, Kiarash Banihashem, Soheil Feizi
2022	A*	`conf`	Hard ImageNet: Segmentations for Objects with Strong Spurious Cues. NeurIPS Mazda Moayeri, Sahil Singla, Soheil Feizi
2022	J	`jnl`	Spuriosity Rankings: Sorting Data for Spurious Correlation Robustness. CoRR Mazda Moayeri, Wenxiao Wang, Sahil Singla, Soheil Feizi
2021	A*	`conf`	Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings. ICCV Mazda Moayeri, Soheil Feizi
2021	J	`jnl`	Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings. CoRR Mazda Moayeri, Soheil Feizi
2019	—	`conf`	Neural Symbolic Music Genre Transfer Insights. PKDD/ECML Workshops (2) Gino Brunner, Mazda Moayeri, Oliver Richter, Roger Wattenhofer, Chi Zhang