LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning. - Amit Alfassy; Leonid Karlinsky; Amit Aides; Joseph Shtok; Sivan Harary; Rogério Schmidt Feris; Raja Giryes; Alexander M. Bronstein (CVPR, 2019)

StarNet: towards weakly supervised few-shot detection and explainable few-shot classification. - Leonid Karlinsky; Joseph Shtok; Amit Alfassy; Moshe Lichtenstein; Sivan Harary; Eli Schwartz; Sivan Doveh; Prasanna Sattigeri; Rogério Schmidt Feris; Alexander M. Bronstein; Raja Giryes (CoRR, 2020)

StarNet: towards Weakly Supervised Few-Shot Object Detection. - Leonid Karlinsky; Joseph Shtok; Amit Alfassy; Moshe Lichtenstein; Sivan Harary; Eli Schwartz; Sivan Doveh; Prasanna Sattigeri; Rogério Feris; Alex M. Bronstein; Raja Giryes (AAAI, 2021)

Detector-Free Weakly Supervised Grounding by Separation. - Assaf Arbelle; Sivan Doveh; Amit Alfassy; Joseph Shtok; Guy Lev; Eli Schwartz; Hilde Kuehne; Hila Barak Levi; Prasanna Sattigeri; Rameswar Panda; Chun-Fu Chen 001; Alex M. Bronstein; et al. (ICCV, 2021)

Unsupervised Domain Generalization by Learning a Bridge Across Domains. - Sivan Harary; Eli Schwartz; Assaf Arbelle; Peter W. J. Staar; Shady Abu-Hussein; Elad Amrani; Roei Herzig; Amit Alfassy; Raja Giryes; Hilde Kuehne; Dina Katabi; Kate Saenko; et al. (CVPR, 2022)

FETA: Towards Specializing Foundational Models for Expert Task Applications. - Amit Alfassy; Assaf Arbelle; Oshri Halimi; Sivan Harary; Roei Herzig; Eli Schwartz; Rameswar Panda; Michele Dolfi; Christoph Auer; Peter W. J. Staar; Kate Saenko; Rogério Feris; et al. (NeurIPS, 2022)

FETA: Towards Specializing Foundation Models for Expert Task Applications. - Amit Alfassy; Assaf Arbelle; Oshri Halimi; Sivan Harary; Roei Herzig; Eli Schwartz; Rameswar Panda; Michele Dolfi; Christoph Auer; Kate Saenko; Peter W. J. Staar; Rogério Feris; et al. (CoRR, 2022)

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model. - Teven Le Scao; Angela Fan; Christopher Akiki; Ellie Pavlick; Suzana Ilic; Daniel Hesslow; Roman Castagné; Alexandra Sasha Luccioni; François Yvon; Matthias Gallé; Jonathan Tow; Alexander M. Rush; et al. (CoRR, 2022)

Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. - Sivan Doveh; Assaf Arbelle; Sivan Harary; Roei Herzig; Donghyun Kim 006; Paola Cascante-Bonilla; Amit Alfassy; Rameswar Panda; Raja Giryes; Rogério Feris; Shimon Ullman; Leonid Karlinsky (NeurIPS, 2023)

Towards Multimodal In-context Learning for Vision and Language Models. - Sivan Doveh; Shaked Perek; Muhammad Jehanzeb Mirza; Wei Lin 019; Amit Alfassy; Assaf Arbelle; Shimon Ullman; Leonid Karlinsky (ECCV Workshops (19), 2024)

Towards Multimodal In-Context Learning for Vision & Language Models. - Sivan Doveh; Shaked Perek; Muhammad Jehanzeb Mirza; Amit Alfassy; Assaf Arbelle; Shimon Ullman; Leonid Karlinsky (CoRR, 2024)

Augmenting In-Context-Learning in LLMs via Automatic Data Labeling and Refinement. - Joseph Shtok; Amit Alfassy; Foad Abo Dahood; Eliyahu Schwartz; Sivan Doveh; Assaf Arbelle (CoRR, 2024)