Search Results for author: Jérémy Rapin

Found 11 papers, 6 papers with code

Code Llama: Open Foundation Models for Code

2 code implementations24 Aug 2023 Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Ellen Tan, Yossi Adi, Jingyu Liu, Romain Sauvestre, Tal Remez, Jérémy Rapin, Artyom Kozhevnikov, Ivan Evtimov, Joanna Bitton, Manish Bhatt, Cristian Canton Ferrer, Aaron Grattafiori, Wenhan Xiong, Alexandre Défossez, Jade Copet, Faisal Azhar, Hugo Touvron, Louis Martin, Nicolas Usunier, Thomas Scialom, Gabriel Synnaeve

We release Code Llama, a family of large language models for code based on Llama 2 providing state-of-the-art performance among open models, infilling capabilities, support for large input contexts, and zero-shot instruction following ability for programming tasks.

16k Code Generation +1

Does Zero-Shot Reinforcement Learning Exist?

1 code implementation29 Sep 2022 Ahmed Touati, Jérémy Rapin, Yann Ollivier

A zero-shot RL agent is an agent that can solve any RL task in a given environment, instantly with no additional planning or learning, after an initial reward-free learning phase.

Contrastive Learning reinforcement-learning +2

Decoding speech perception from non-invasive brain recordings

1 code implementation25 Aug 2022 Alexandre Défossez, Charlotte Caucheteux, Jérémy Rapin, Ori Kabeli, Jean-Rémi King

Overall, this effective decoding of perceived speech from non-invasive recordings delineates a promising path to decode language from brain activity, without putting patients at risk for brain surgery.

Contrastive Learning EEG

ROMUL: Scale Adaptative Population Based Training

no code implementations1 Jan 2021 Daniel Haziza, Jérémy Rapin, Gabriel Synnaeve

In most pragmatic settings, data augmentation and regularization are essential, and require hyperparameter search.

Data Augmentation Image Classification +1

Population Based Training for Data Augmentation and Regularization in Speech Recognition

no code implementations8 Oct 2020 Daniel Haziza, Jérémy Rapin, Gabriel Synnaeve

It compares favorably to a baseline that does not change those hyperparameters over the course of training, with an 8% relative WER improvement.

Data Augmentation speech-recognition +1

Inspirational Adversarial Image Generation

1 code implementation17 Jun 2019 Baptiste Rozière, Morgane Riviere, Olivier Teytaud, Jérémy Rapin, Yann Lecun, Camille Couprie

We design a simple optimization method to find the optimal latent parameters corresponding to the closest generation to any input inspirational image.

Image Generation

NMF with Sparse Regularizations in Transformed Domains

1 code implementation29 Jul 2014 Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck

In this article, we show how a sparse NMF algorithm coined non-negative generalized morphological component analysis (nGMCA) can be extended to impose non-negativity in the direct domain along with sparsity in a transformed domain, with both analysis and synthesis formulations.

blind source separation Retrieval

Sparse and Non-Negative BSS for Noisy Data

1 code implementation26 Aug 2013 Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck

In this context, it is fundamental that the sources to be estimated present some diversity in order to be efficiently retrieved.

blind source separation Diversity

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