Edo Cohen-Karlik | DeepAI

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∙ 10/25/2022

Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Network

Overparameterization in deep learning typically refers to settings where...

0 Edo Cohen-Karlik, et al. ∙

∙ 02/09/2022

On the Implicit Bias of Gradient Descent for Temporal Extrapolation

Common practice when using recurrent neural networks (RNNs) is to apply ...

0 Edo Cohen-Karlik, et al. ∙

∙ 10/25/2020

Regularizing Towards Permutation Invariance in Recurrent Models

In many machine learning problems the output should not depend on the or...

0 Edo Cohen-Karlik, et al. ∙

∙ 10/13/2020

The workweek is the best time to start a family – A Study of GPT-2 Based Claim Generation

Argument generation is a challenging task whose research is timely consi...

0 Shai Gretz, et al. ∙

∙ 11/26/2019

A Large-scale Dataset for Argument Quality Ranking: Construction and Analysis

Identifying the quality of free-text arguments has become an important t...

0 Shai Gretz, et al. ∙

∙ 09/03/2019

Automatic Argument Quality Assessment -- New Datasets and Methods

We explore the task of automatic assessment of argument quality. To that...

0 Assaf Toledo, et al. ∙

∙ 06/10/2019

Learning to combine Grammatical Error Corrections

The field of Grammatical Error Correction (GEC) has produced various sys...

0 Yoav Kantor, et al. ∙

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