Search Results for author: Einat Kermany

Found 3 papers, 1 papers with code

Neural network gradient-based learning of black-box function interfaces

no code implementations ICLR 2019 Alon Jacovi, Guy Hadash, Einat Kermany, Boaz Carmeli, Ofer Lavi, George Kour, Jonathan Berant

We propose a method for end-to-end training of a base neural network that integrates calls to existing black-box functions.

Estimate and Replace: A Novel Approach to Integrating Deep Neural Networks with Existing Applications

no code implementations24 Apr 2018 Guy Hadash, Einat Kermany, Boaz Carmeli, Ofer Lavi, George Kour, Alon Jacovi

At inference time, we replace each estimator with its existing application counterpart and let the base network solve the task by interacting with the existing application.

Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks

3 code implementations15 Aug 2016 Yossi Adi, Einat Kermany, Yonatan Belinkov, Ofer Lavi, Yoav Goldberg

The analysis sheds light on the relative strengths of different sentence embedding methods with respect to these low level prediction tasks, and on the effect of the encoded vector's dimensionality on the resulting representations.

Sentence Embedding Sentence-Embedding

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