Search Results for author: Morgane Riviere

Found 7 papers, 3 papers with code

Pushing the performances of ASR models on English and Spanish accents

no code implementations22 Dec 2022 Pooja Chitkara, Morgane Riviere, Jade Copet, Frank Zhang, Yatharth Saraf

Speech to text models tend to be trained and evaluated against a single target accent.

ASR4REAL: An extended benchmark for speech models

no code implementations16 Oct 2021 Morgane Riviere, Jade Copet, Gabriel Synnaeve

Popular ASR benchmarks such as Librispeech and Switchboard are limited in the diversity of settings and speakers they represent.

Language Modelling

The Open Catalyst 2020 (OC20) Dataset and Community Challenges

5 code implementations20 Oct 2020 Lowik Chanussot, Abhishek Das, Siddharth Goyal, Thibaut Lavril, Muhammed Shuaibi, Morgane Riviere, Kevin Tran, Javier Heras-Domingo, Caleb Ho, Weihua Hu, Aini Palizhati, Anuroop Sriram, Brandon Wood, Junwoong Yoon, Devi Parikh, C. Lawrence Zitnick, Zachary Ulissi

Catalyst discovery and optimization is key to solving many societal and energy challenges including solar fuels synthesis, long-term energy storage, and renewable fertilizer production.

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

GDPP: Learning Diverse Generations Using Determinantal Point Process

4 code implementations30 Nov 2018 Mohamed Elfeki, Camille Couprie, Morgane Riviere, Mohamed Elhoseiny

Generative models have proven to be an outstanding tool for representing high-dimensional probability distributions and generating realistic-looking images.

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