Learning Sparse Metrics, One Feature at a Time. - Yuval Atzmon; Uri Shalit; Gal Chechik (FE@NIPS, 2015)

Learning to generalize to new compositions in image understanding. - Yuval Atzmon; Jonathan Berant; Vahid Kezami; Amir Globerson; Gal Chechik (CoRR, 2016)

Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning. - Yuval Atzmon; Gal Chechik (UAI, 2018)

Domain-Aware Generalized Zero-Shot Learning. - Yuval Atzmon; Gal Chechik (CoRR, 2018)

Learning with Per-Sample Side Information. - Roman Visotsky; Yuval Atzmon; Gal Chechik (AGI, 2019)

Adaptive Confidence Smoothing for Generalized Zero-Shot Learning. - Yuval Atzmon; Gal Chechik (CVPR, 2019)

Joint Optimization for Cooperative Image Captioning. - Gilad Vered; Gal Oren 002; Yuval Atzmon; Gal Chechik (ICCV, 2019)

Few-Shot Learning with Per-Sample Rich Supervision. - Roman Visotsky; Yuval Atzmon; Gal Chechik (CoRR, 2019)

Cooperative image captioning. - Gilad Vered; Gal Oren 002; Yuval Atzmon; Gal Chechik (CoRR, 2019)

ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization. - Tzuf Paz-Argaman; Reut Tsarfaty; Gal Chechik; Yuval Atzmon (EMNLP (Findings), 2020)

A causal view of compositional zero-shot recognition. - Yuval Atzmon; Felix Kreuk; Uri Shalit; Gal Chechik (NeurIPS, 2020)

Long-tail learning with attributes. - Dvir Samuel; Yuval Atzmon; Gal Chechik (CoRR, 2020)

Known unknowns: Learning novel concepts using reasoning-by-elimination. - Harsh Agrawal; Eli A. Meirom; Yuval Atzmon; Shie Mannor; Gal Chechik (UAI, 2021)

From generalized zero-shot learning to long-tail with class descriptors. - Dvir Samuel; Yuval Atzmon; Gal Chechik (WACV, 2021)

"This Is My Unicorn, Fluffy": Personalizing Frozen Vision-Language Representations. - Niv Cohen; Rinon Gal; Eli A. Meirom; Gal Chechik; Yuval Atzmon (ECCV (20), 2022)

Learning to reason about and to act on physical cascading events. - Yuval Atzmon; Eli A. Meirom; Shie Mannor; Gal Chechik (CoRR, 2022)

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 (ICLR, 2023)

Learning to Initiate and Reason in Event-Driven Cascading Processes. - Yuval Atzmon; Eli A. Meirom; Shie Mannor; Gal Chechik (ICML, 2023)

Key-Locked Rank One Editing for Text-to-Image Personalization. - Yoad Tewel; Rinon Gal; Gal Chechik; Yuval Atzmon (SIGGRAPH (Conference Paper Track), 2023)

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 (SIGGRAPH Asia, 2023)

Designing an Encoder for Fast Personalization of Text-to-Image Models. - Rinon Gal; Moab Arar; Yuval Atzmon; Amit H. Bermano; Gal Chechik; Daniel Cohen-Or (CoRR, 2023)

Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models. - Rinon Gal; Moab Arar; Yuval Atzmon; Amit H. Bermano; Gal Chechik; Daniel Cohen-Or (ACM Trans. Graph., 2023)

Lay-A-Scene: Personalized 3D Object Arrangement Using Text-to-Image Priors. - Ohad Rahamim; Hilit Segev; Idan Achituve; Yuval Atzmon; Yoni Kasten; Gal Chechik (CoRR, 2024)

Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models. - Yuval Atzmon; Maciej Bala; Yogesh Balaji; Tiffany Cai; Yin Cui; Jiaojiao Fan; Yunhao Ge; Siddharth Gururani; Jacob Samuel Huffman; Ronald Isaac; Pooya Jannaty; Tero Karras; et al. (CoRR, 2024)

Multi-Shot Character Consistency for Text-to-Video Generation. - Yuval Atzmon; Rinon Gal; Yoad Tewel; Yoni Kasten; Gal Chechik (CoRR, 2024)

Training-Free Consistent Text-to-Image Generation. - Yoad Tewel; Omri Kaduri; Rinon Gal; Yoni Kasten; Lior Wolf; Gal Chechik; Yuval Atzmon (ACM Trans. Graph., 2024)

Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models. - Yoad Tewel; Rinon Gal; Dvir Samuel; Yuval Atzmon; Lior Wolf; Gal Chechik (ICLR, 2025)