| Distributional robustness loss for long-tail learning D Samuel, G Chechik Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 107 | 2021 |
| From Generalized Zero-shot Learning to Long-tail With Class Descriptors D Samuel, Y Atzmon, G Chechik WACV 2021, 2020 | 46 | 2020 |
| Generating images of rare concepts using pre-trained diffusion models D Samuel, R Ben-Ari, S Raviv, N Darshan, G Chechik Proceedings of the AAAI Conference on Artificial Intelligence 38 (5), 4695-4703, 2024 | 27* | 2024 |
| Norm-guided latent space exploration for text-to-image generation D Samuel, R Ben-Ari, N Darshan, H Maron, G Chechik Advances in Neural Information Processing Systems 36, 2024 | 8 | 2024 |
| Regularized Newton Raphson Inversion for Text-to-Image Diffusion Models D Samuel, B Meiri, N Darshan, S Avidan, G Chechik, R Ben-Ari arXiv e-prints, arXiv: 2312.12540, 2023 | 7* | 2023 |
| EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition I Tzachor, B Lerner, M Levy, M Green, TB Shalev, G Habib, D Samuel, ... arXiv preprint arXiv:2405.18065, 2024 | 2 | 2024 |
| Unveiling the Power of Diffusion Features For Personalized Segmentation and Retrieval D Samuel, R Ben-Ari, M Levy, N Darshan, G Chechik arXiv preprint arXiv:2405.18025, 2024 | | 2024 |
