Alon Jacovi | DeepAI

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∙ 05/17/2023

Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks

Data contamination has become especially prevalent and challenging with ...

0 Alon Jacovi, et al. ∙

∙ 05/04/2023

Neighboring Words Affect Human Interpretation of Saliency Explanations

Word-level saliency explanations ("heat maps over words") are often used...

0 Alon Jacovi, et al. ∙

∙ 01/13/2023

Trends in Explainable AI (XAI) Literature

The XAI literature is decentralized, both in terminology and in publicat...

0 Alon Jacovi, et al. ∙

∙ 01/27/2022

Human Interpretation of Saliency-based Explanation Over Text

While a lot of research in explainable AI focuses on producing effective...

14 Hendrik Schuff, et al. ∙

∙ 01/27/2022

Diagnosing AI Explanation Methods with Folk Concepts of Behavior

When explaining AI behavior to humans, how is the communicated informati...

0 Alon Jacovi, et al. ∙

∙ 03/02/2021

Contrastive Explanations for Model Interpretability

Contrastive explanations clarify why an event occurred in contrast to an...

35 Alon Jacovi, et al. ∙

∙ 10/15/2020

Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI

Trust is a central component of the interaction between people and AI, i...

0 Alon Jacovi, et al. ∙

∙ 10/07/2020

Exposing Shallow Heuristics of Relation Extraction Models with Challenge Data

The process of collecting and annotating training data may introduce dis...

0 Shachar Rosenman, et al. ∙

∙ 06/01/2020

Aligning Faithful Interpretations with their Social Attribution

We find that the requirement of model interpretations to be faithful is ...

6 Alon Jacovi, et al. ∙

∙ 06/01/2020

When Bert Forgets How To POS: Amnesic Probing of Linguistic Properties and MLM Predictions

A growing body of work makes use of probing in order to investigate the ...

0 Yanai Elazar, et al. ∙

∙ 04/07/2020

Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?

With the growing popularity of deep-learning based NLP models, comes a n...

0 Alon Jacovi, et al. ∙

∙ 10/29/2019

Scalable Evaluation and Improvement of Document Set Expansion via Neural Positive-Unlabeled Learning

We consider the situation in which a user has collected a small set of d...

0 Alon Jacovi, et al. ∙

∙ 01/13/2019

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

Deep neural networks work well at approximating complicated functions wh...

14 Alon Jacovi, et al. ∙

∙ 09/21/2018

Understanding Convolutional Neural Networks for Text Classification

We present an analysis into the inner workings of Convolutional Neural N...

0 Alon Jacovi, et al. ∙

∙ 04/24/2018

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

Existing applications include a huge amount of knowledge that is out of ...

0 Guy Hadash, et al. ∙

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