Amjad Almahairi | DeepAI

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∙ 07/18/2023

Llama 2: Open Foundation and Fine-Tuned Chat Models

In this work, we develop and release Llama 2, a collection of pretrained...

0 Hugo Touvron, et al. ∙

∙ 05/22/2023

Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefixes

Many real-world applications require making multiple predictions from th...

0 Kuan-Hao Huang, et al. ∙

∙ 05/06/2023

Residual Prompt Tuning: Improving Prompt Tuning with Residual Reparameterization

Prompt tuning is one of the successful approaches for parameter-efficien...

3 Anastasia Razdaibiedina, et al. ∙

∙ 01/29/2023

Progressive Prompts: Continual Learning for Language Models

We introduce Progressive Prompts - a simple and efficient approach for c...

0 Anastasia Razdaibiedina, et al. ∙

∙ 12/10/2022

Uniform Masking Prevails in Vision-Language Pretraining

Masked Language Modeling (MLM) has proven to be an essential component o...

0 Siddharth Verma, et al. ∙

∙ 05/25/2022

Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI

Evaluating an explanation's faithfulness is desired for many reasons suc...

0 Suzanna Sia, et al. ∙

∙ 10/14/2021

UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning

Conventional fine-tuning of pre-trained language models tunes all model ...

1 Yuning Mao, et al. ∙

∙ 11/11/2020

Unsupervised Learning of Dense Visual Representations

Contrastive self-supervised learning has emerged as a promising approach...

0 Pedro O. Pinheiro, et al. ∙

∙ 06/27/2019

The Impact of Preprocessing on Arabic-English Statistical and Neural Machine Translation

Neural networks have become the state-of-the-art approach for machine tr...

0 Mai Oudah, et al. ∙

∙ 06/24/2019

Adversarial Computation of Optimal Transport Maps

Computing optimal transport maps between high-dimensional and continuous...

0 Jacob Leygonie, et al. ∙

∙ 06/11/2019

A Closer Look at the Optimization Landscapes of Generative Adversarial Networks

Generative adversarial networks have been very successful in generative ...

1 Hugo Berard, et al. ∙

∙ 06/18/2018

Learning Distributed Representations from Reviews for Collaborative Filtering

Recent work has shown that collaborative filter-based recommender system...

6 Amjad Almahairi, et al. ∙

∙ 02/27/2018

Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data

Learning inter-domain mappings from unpaired data can improve performanc...

0 Amjad Almahairi, et al. ∙

∙ 06/08/2016

First Result on Arabic Neural Machine Translation

Neural machine translation has become a major alternative to widely used...

0 Amjad Almahairi, et al. ∙

∙ 05/09/2016

Theano: A Python framework for fast computation of mathematical expressions

Theano is a Python library that allows to define, optimize, and evaluate...

0 The Theano Development Team, et al. ∙

∙ 11/24/2015

Dynamic Capacity Networks

We introduce the Dynamic Capacity Network (DCN), a neural network that c...

0 Amjad Almahairi, et al. ∙

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