Publications

Text2Model: Model Induction for Zero-shot Generalization Using Task Descriptions (Accepted to EMNLP 2024)
Ohad Amosy, Tomer Volk, Eyal Ben-David, Roi Reichart Gal Chechik,
[paper] [code]

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Iterative-Free Quantum Approximate Optimization Algorithm Using Neural Networks (Accepted to Quantum Machine Intelligence 2024)
Ohad Amosy*, Tamuz Danzig*, Ely Porat, Gal Chechik, Adi Makmal
[paper] [code]

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Late to the party? On-demand unlabeled personalized federated learning (Accepted to WACV 2024)
Ohad Amosy, Gal Eyal, Gal Chechik
[paper] [code] [bibtex]

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Example-based Hypernetworks for Out-of-Distribution Generalization (Accepted to EMNLP 2023)
Tomer Volk*, Eyal Ben-David*, Ohad Amosy, Gal Chechik, Roi Reichart
[paper] [code] [bibtex]

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Coupled Training for Multi-Source Domain Adaptation (Accepted to WACV 2022)
Ohad Amosy, Gal Chechik
[paper] [code] [bibtex] [video]

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Using Explainability To Detect Adversarial Examples
Ohad Amosy, Gal Chechik
[paper] [code] [bibtex]