4 citations · 10 across the 11 of their papers we have counts for
5 papers · 1 filter
Text2Model: Text-based Model Induction for Zero-shot Image Classification
Ohad Amosy, Tomer Volk, Eilam Shapira +3
We address the challenge of building task-agnostic classifiers using only text descriptions, demonstrating a unified approach to image classification, 3D point cloud classification…
Domain Adaptation from Scratch
Eyal Ben-David, Yftah Ziser, Roi Reichart
Natural language processing (NLP) algorithms are rapidly improving but often struggle when applied to out-of-distribution examples. A prominent approach to mitigate the domain gap…
IDANI: Inference-time Domain Adaptation via Neuron-level Interventions
Omer Antverg, Eyal Ben-David, Yonatan Belinkov
Large pre-trained models are usually fine-tuned on downstream task data, and tested on unseen data. When the train and test data come from different domains, the model is likely to…
DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation
Nitay Calderon, Eyal Ben-David, Amir Feder +1
Natural language processing (NLP) algorithms have become very successful, but they still struggle when applied to out-of-distribution examples. In this paper we propose a controlla…
Example-based Hypernetworks for Out-of-Distribution Generalization
Tomer Volk, Eyal Ben-David, Ohad Amosy +2
As Natural Language Processing (NLP) algorithms continually achieve new milestones, out-of-distribution generalization remains a significant challenge. This paper addresses the iss…