| A comprehensive study of image classification model sensitivity to foregrounds, backgrounds, and visual attributes M Moayeri, P Pope, Y Balaji, S Feizi CVPR 2022 (Oral), 2022 | 58 | 2022 |
| An introduction to vision-language modeling F Bordes, RY Pang, A Ajay, AC Li, A Bardes, S Petryk, O Mañas, Z Lin, ... arXiv preprint arXiv:2405.17247, 2024 | 53 | 2024 |
| Text-to-concept (and back) via cross-model alignment M Moayeri, K Rezaei, M Sanjabi, S Feizi ICML 2023, 2023 | 44 | 2023 |
| A holistic approach to unifying automatic concept extraction and concept importance estimation T Fel, V Boutin, M Moayeri, L Béthune, R Cadène, L Andéol, M Chalvidal, ... NeurIPS 2023 (Spotlight), 2024 | 37 | 2024 |
| Sample efficient detection and classification of adversarial attacks via self-supervised embeddings M Moayeri, S Feizi ICCV 2021, 2021 | 30 | 2021 |
| Hard imagenet: Segmentations for objects with strong spurious cues M Moayeri, S Singla, S Feizi NeurIPS 2022, 2022 | 28 | 2022 |
| Explicit tradeoffs between adversarial and natural distributional robustness M Moayeri, K Banihashem, S Feizi NeurIPS 2022, 2022 | 23 | 2022 |
| WorldBench: Quantifying Geographic Disparities in LLM Factual Recall M Moayeri, E Tabassi, S Feizi The 2024 ACM Conference on Fairness, Accountability, and Transparency, 1211-1228, 2024 | 11 | 2024 |
| Spuriosity rankings: sorting data to measure and mitigate biases M Moayeri, W Wang, S Singla, S Feizi NeurIPS 2023 (Spotlight), 2023 | 11* | 2023 |
| Core risk minimization using salient imagenet S Singla, M Moayeri, S Feizi arXiv preprint arXiv:2203.15566, 2022 | 9 | 2022 |
| Neural symbolic music genre transfer insights G Brunner, M Moayeri, O Richter, R Wattenhofer, C Zhang Machine Learning and Knowledge Discovery in Databases: International …, 2020 | 7 | 2020 |
| Data-Centric Debugging: mitigating model failures via targeted image retrieval S Singla, AM Chegini, M Moayeri, S Feizi WACV 2024 (Oral), 2024 | 5* | 2024 |
| Text2concept: Concept activation vectors directly from text M Moayeri, K Rezaei, M Sanjabi, S Feizi CVPR 2023, XAI4CV Workshop, 2023 | 5 | 2023 |
| Rethinking Artistic Copyright Infringements in the Era of Text-to-Image Generative Models M Moayeri, S Basu, S Balasubramanian, P Kattakinda, A Chengini, ... arXiv preprint arXiv:2404.08030, 2024 | 4 | 2024 |
| PRIME: Prioritizing Interpretability in Failure Mode Extraction K Rezaei, M Saberi, M Moayeri, S Feizi ICLR 2024, 2023 | 4 | 2023 |
| Embracing Diversity: Interpretable Zero-shot classification beyond one vector per class M Moayeri, M Rabbat, M Ibrahim, D Bouchacourt The 2024 ACM Conference on Fairness, Accountability, and Transparency, 2302-2321, 2024 | 2 | 2024 |
| Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models M Moayeri, V Balachandran, V Chandrasekaran, S Yousefi, T Fel, S Feizi, ... arXiv preprint arXiv:2410.13826, 2024 | 1 | 2024 |
| Understanding and Mitigating Compositional Issues in Text-to-Image Generative Models A Zarei, K Rezaei, S Basu, M Saberi, M Moayeri, P Kattakinda, S Feizi arXiv preprint arXiv:2406.07844, 2024 | 1 | 2024 |
| Rethinking Copyright Infringements In the Era Of Text-to-Image Generative Models M Moayeri, S Basu, S Balasubramanian, P Kattakinda, A Chegini, ... The Thirteenth International Conference on Learning Representations, 0 | | |
| Mitigating Compositional Issues in Text-to-Image Generative Models via Enhanced Text Embeddings A Zarei, K Rezaei, S Basu, M Saberi, M Moayeri, P Kattakinda, S Feizi | | |