Tomer Volk — accepted AI-conference papers

2024

Text2Model: Text-based Model Induction for Zero-shot Image Classification

Ohad Amosy, Tomer Volk, Eilam Shapira, Eyal Ben-David, Roi Reichart, Gal Chechik

EMNLP 2024finding

We address the challenge of building task-agnostic classifiers using only text descriptions, demonstrating a unified approach to image classification, 3D point cloud classification, and action recognition from scenes. Unlike approaches that learn a fixed representation of the output classes, we gene…

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2023

Example-based Hypernetworks for Multi-source Adaptation to Unseen Domains

Tomer Volk, Eyal Ben-David, Ohad Amosy, Gal Chechik, Roi Reichart

EMNLP 2023long findings

As Natural Language Processing (NLP) algorithms continually achieve new milestones, out-of-distribution generalization remains a significant challenge. This paper addresses the issue of multi-source adaptation for unfamiliar domains: We leverage labeled data from multiple source domains to generaliz…

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