Teacher-Student Consistency For Multi-Source Domain Adaptation. - Ohad Amosy; Gal Chechik (CoRR, 2020)

Inference-Time Personalized Federated Learning. - Ohad Amosy; Gal Eyal; Gal Chechik (CoRR, 2021)

Coupled Training for Multi-Source Domain Adaptation. - Ohad Amosy; Gal Chechik (WACV, 2022)

Example-based Hypernetworks for Out-of-Distribution Generalization. - Tomer Volk; Eyal Ben-David; Ohad Amosy; Gal Chechik; Roi Reichart (CoRR, 2022)

Text2Model: Model Induction for Zero-shot Generalization Using Task Descriptions. - Ohad Amosy; Tomer Volk; Eyal Ben-David; Roi Reichart; Gal Chechik (CoRR, 2022)

Example-based Hypernetworks for Multi-source Adaptation to Unseen Domains. - Tomer Volk; Eyal Ben-David; Ohad Amosy; Gal Chechik; Roi Reichart (EMNLP (Findings), 2023)

Text2Model: Text-based Model Induction for Zero-shot Image Classification. - Ohad Amosy; Tomer Volk; Eilam Shapira; Eyal Ben-David; Roi Reichart; Gal Chechik (EMNLP (Findings), 2024)

Late to the party? On-demand unlabeled personalized federated learning. - Ohad Amosy; Gal Eyal; Gal Chechik (WACV, 2024)

Iteration-Free quantum approximate optimization algorithm using neural networks. - Ohad Amosy; Tamuz Danzig; Ohad Lev; Ely Porat; Gal Chechik; Adi Makmal (Quantum Mach. Intell., 2024)