Yanai Elazar | DeepAI

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∙ 08/01/2023

The Bias Amplification Paradox in Text-to-Image Generation

Bias amplification is a phenomenon in which models increase imbalances p...

0 Preethi Seshadri, et al. ∙

∙ 06/24/2023

Estimating the Causal Effect of Early ArXiving on Paper Acceptance

What is the effect of releasing a preprint of a paper before it is submi...

0 Yanai Elazar, et al. ∙

∙ 05/26/2023

Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation

Few-shot fine-tuning and in-context learning are two alternative strateg...

3 Marius Mosbach, et al. ∙

∙ 03/07/2023

At Your Fingertips: Extracting Piano Fingering Instructions from Videos

Piano fingering – knowing which finger to use to play each note in a mus...

12 Amit Moryossef, et al. ∙

∙ 10/23/2022

Lexical Generalization Improves with Larger Models and Longer Training

While fine-tuned language models perform well on many tasks, they were a...

0 Elron Bandel, et al. ∙

∙ 10/12/2022

CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm

Recently, the community has achieved substantial progress on many common...

9 Hongming Zhang, et al. ∙

∙ 07/28/2022

Measuring Causal Effects of Data Statistics on Language Model's `Factual' Predictions

Large amounts of training data are one of the major reasons for the high...

0 Yanai Elazar, et al. ∙

∙ 09/24/2021

Text-based NP Enrichment

Understanding the relations between entities denoted by NPs in text is a...

0 Yanai Elazar, et al. ∙

∙ 04/17/2021

Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes

We explore Few-Shot Learning (FSL) for Relation Classification (RC). Foc...

0 Ofer Sabo, et al. ∙

∙ 04/16/2021

Back to Square One: Bias Detection, Training and Commonsense Disentanglement in the Winograd Schema

The Winograd Schema (WS) has been proposed as a test for measuring commo...

0 Yanai Elazar, 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. ∙

∙ 01/26/2021

First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT

Multilingual pretrained language models have demonstrated remarkable zer...

0 Benjamin Müller, et al. ∙

∙ 10/16/2020

It's not Greek to mBERT: Inducing Word-Level Translations from Multilingual BERT

Recent works have demonstrated that multilingual BERT (mBERT) learns ric...

10 Hila Gonen, et al. ∙

∙ 10/12/2020

The Extraordinary Failure of Complement Coercion Crowdsourcing

Crowdsourcing has eased and scaled up the collection of linguistic annot...

3 Yanai Elazar, et al. ∙

∙ 10/11/2020

Do Language Embeddings Capture Scales?

Pretrained Language Models (LMs) have been shown to possess significant ...

0 Xikun Zhang, et al. ∙

∙ 10/11/2020

Unsupervised Distillation of Syntactic Information from Contextualized Word Representations

Contextualized word representations, such as ELMo and BERT, were shown t...

6 Shauli Ravfogel, 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. ∙

∙ 04/16/2020

Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection

The ability to control for the kinds of information encoded in neural re...

0 Shauli Ravfogel, et al. ∙

∙ 04/06/2020

Evaluating NLP Models via Contrast Sets

Standard test sets for supervised learning evaluate in-distribution gene...

0 Matt Gardner, et al. ∙

∙ 12/31/2019

oLMpics – On what Language Model Pre-training Captures

Recent success of pre-trained language models (LMs) has spurred widespre...

14 Alon Talmor, et al. ∙

∙ 06/04/2019

How Large Are Lions? Inducing Distributions over Quantitative Attributes

Most current NLP systems have little knowledge about quantitative attrib...

0 Yanai Elazar, et al. ∙

∙ 05/26/2019

Where's My Head? Definition, Dataset and Models for Numeric Fused-Heads Identification and Resolution

We provide the first computational treatment of fused-heads construction...

0 Yanai Elazar, et al. ∙

∙ 08/20/2018

Adversarial Removal of Demographic Attributes from Text Data

Recent advances in Representation Learning and Adversarial Training seem...

0 Yanai Elazar, et al. ∙

∙ 07/10/2018

Privacy-Adversarial User Representations in Recommender Systems

Latent factor models for recommender systems represent users and items a...

0 Yehezkel S. Resheff, et al. ∙

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