| 2026 | WACV | Data-Driven Loss Functions for Inference-Time Optimization in Text-to-Image. | Sapir Esther Yiflach, Yuval Atzmon, Gal Chechik |
| 2025 | ICLR | Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models. | Yoad Tewel, Rinon Gal, Dvir Samuel, Yuval Atzmon, Lior Wolf, Gal Chechik |
| 2023 | ICLR | An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion. | Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit Haim Bermano, Gal Chechik, Daniel Cohen-Or |
| 2023 | ICML | Learning to Initiate and Reason in Event-Driven Cascading Processes. | Yuval Atzmon, Eli A. Meirom, Shie Mannor, Gal Chechik |
| 2023 | SIGGRAPH | Key-Locked Rank One Editing for Text-to-Image Personalization. | Yoad Tewel, Rinon Gal, Gal Chechik, Yuval Atzmon |
| 2023 | SiggraphA | Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models. | Moab Arar, Rinon Gal, Yuval Atzmon, Gal Chechik, Daniel Cohen-Or, Ariel Shamir, Amit H. Bermano |
| 2022 | ECCV | "This Is My Unicorn, Fluffy": Personalizing Frozen Vision-Language Representations. | Niv Cohen, Rinon Gal, Eli A. Meirom, Gal Chechik, Yuval Atzmon |
| 2021 | WACV | From generalized zero-shot learning to long-tail with class descriptors. | Dvir Samuel, Yuval Atzmon, Gal Chechik |
| 2021 | UAI | Known unknowns: Learning novel concepts using reasoning-by-elimination. | Harsh Agrawal, Eli A. Meirom, Yuval Atzmon, Shie Mannor, Gal Chechik |
| 2020 | EMNLP | ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization. | Tzuf Paz-Argaman, Reut Tsarfaty, Gal Chechik, Yuval Atzmon |
| 2019 | CVPR | Adaptive Confidence Smoothing for Generalized Zero-Shot Learning. | Yuval Atzmon, Gal Chechik |
| 2019 | ICCV | Joint Optimization for Cooperative Image Captioning. | Gilad Vered, Gal Oren, Yuval Atzmon, Gal Chechik |
| 2018 | UAI | Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning. | Yuval Atzmon, Gal Chechik |