Guillaume Lample | DeepAI

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∙ 02/27/2023

LLaMA: Open and Efficient Foundation Language Models

We introduce LLaMA, a collection of foundation language models ranging f...

6 Hugo Touvron, et al. ∙

∙ 02/22/2023

Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search

Symbolic regression (SR) is the problem of learning a symbolic expressio...

0 Pierre-Alexandre Kamienny, et al. ∙

∙ 10/21/2022

Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs

The formalization of existing mathematical proofs is a notoriously diffi...

0 Albert Q. Jiang, et al. ∙

∙ 05/23/2022

HyperTree Proof Search for Neural Theorem Proving

We propose an online training procedure for a transformer-based automate...

0 Guillaume Lample, et al. ∙

∙ 04/22/2022

End-to-end symbolic regression with transformers

Symbolic regression, the task of predicting the mathematical expression ...

63 Pierre-Alexandre Kamienny, et al. ∙

∙ 01/12/2022

Deep Symbolic Regression for Recurrent Sequences

Symbolic regression, i.e. predicting a function from the observation of ...

13 Stéphane d'Ascoli, et al. ∙

∙ 10/13/2021

Leveraging Automated Unit Tests for Unsupervised Code Translation

With little to no parallel data available for programming languages, uns...

0 Baptiste Roziere, et al. ∙

∙ 02/15/2021

DOBF: A Deobfuscation Pre-Training Objective for Programming Languages

Recent advances in self-supervised learning have dramatically improved t...

1 Baptiste Roziere, et al. ∙

∙ 09/21/2020

Target Conditioning for One-to-Many Generation

Neural Machine Translation (NMT) models often lack diversity in their ge...

19 Marie-Anne Lachaux, et al. ∙

∙ 06/11/2020

Deep Differential System Stability – Learning advanced computations from examples

Can advanced mathematical computations be learned from examples? Using t...

0 François Charton, et al. ∙

∙ 06/05/2020

Unsupervised Translation of Programming Languages

A transcompiler, also known as source-to-source translator, is a system ...

0 Marie-Anne Lachaux, et al. ∙

∙ 12/02/2019

Deep Learning for Symbolic Mathematics

Neural networks have a reputation for being better at solving statistica...

0 Guillaume Lample, et al. ∙

∙ 07/10/2019

Large Memory Layers with Product Keys

This paper introduces a structured memory which can be easily integrated...

0 Guillaume Lample, et al. ∙

∙ 07/02/2019

Augmenting Self-attention with Persistent Memory

Transformer networks have lead to important progress in language modelin...

6 Sainbayar Sukhbaatar, et al. ∙

∙ 02/04/2019

Two New Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English

The vast majority of language pairs in the world are low-resource becaus...

0 Francisco Guzmán, et al. ∙

∙ 01/22/2019

Cross-lingual Language Model Pretraining

Recent studies have demonstrated the efficiency of generative pretrainin...

0 Guillaume Lample, et al. ∙

∙ 11/01/2018

Multiple-Attribute Text Style Transfer

The dominant approach to unsupervised "style transfer" in text is based ...

0 Sandeep Subramanian, et al. ∙

∙ 09/13/2018

XNLI: Evaluating Cross-lingual Sentence Representations

State-of-the-art natural language processing systems rely on supervision...

8 Alexis Conneau, et al. ∙

∙ 05/03/2018

What you can cram into a single vector: Probing sentence embeddings for linguistic properties

Although much effort has recently been devoted to training high-quality ...

0 Alexis Conneau, et al. ∙

∙ 04/20/2018

Phrase-Based & Neural Unsupervised Machine Translation

Machine translation systems achieve near human-level performance on some...

0 Guillaume Lample, et al. ∙

∙ 10/31/2017

Unsupervised Machine Translation Using Monolingual Corpora Only

Machine translation has recently achieved impressive performance thanks ...

0 Guillaume Lample, et al. ∙

∙ 10/11/2017

Word Translation Without Parallel Data

State-of-the-art methods for learning cross-lingual word embeddings have...

0 Alexis Conneau, et al. ∙

∙ 06/01/2017

Fader Networks: Manipulating Images by Sliding Attributes

This paper introduces a new encoder-decoder architecture that is trained...

0 Guillaume Lample, et al. ∙

∙ 09/18/2016

Playing FPS Games with Deep Reinforcement Learning

Advances in deep reinforcement learning have allowed autonomous agents t...

0 Guillaume Lample, et al. ∙

∙ 05/12/2016

Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning

We introduce polyglot language models, recurrent neural network models t...

0 Yulia Tsvetkov, et al. ∙

∙ 03/04/2016

Neural Architectures for Named Entity Recognition

State-of-the-art named entity recognition systems rely heavily on hand-c...

0 Guillaume Lample, et al. ∙

∙ 02/05/2016

Massively Multilingual Word Embeddings

We introduce new methods for estimating and evaluating embeddings of wor...

0 Waleed Ammar, et al. ∙

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