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Prikvačeni tweet
Happy to share that my
@facebookai internship work "Depth-adaptive Transformer" has been accepted to#ICLR2020 . TL;DR: We dynamically adjust the computation per input and match the accuracy of a baseline Transformer with only 1/4 the decoder layers.https://openreview.net/forum?id=SJg7KhVKPH …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Maha Elbayad proslijedio/la je Tweet
Our work on FlauBERT and FLUE (language models and evaluation benchmark for French) have been released today (198th birthday of Gustave Flaubert).
#Flaubert Paper: https://arxiv.org/abs/1912.05372 Code and models: https://github.com/getalp/Flaubert https://twitter.com/laurent_besacie/status/1205062201687642112 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Maha Elbayad proslijedio/la je Tweet
Here is FlauBERT: a French LM learnt (with
#CNRS J-Zay supercomputer) on a large and heterogeneous corpus. Along with it comes FLUE (evaluation setup for French NLP). FlauBERT was successfully applied to complex tasks (NLI, WSD, Parsing). More onhttps://github.com/getalp/FlaubertHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Maha Elbayad proslijedio/la je Tweet
Application to 2019 PAISS summer school is now open https://project.inria.fr/paiss ! October 3>5 in Paris co-organized by MIAI and PRAIRIE
#AI#prAIrie@CNRS@inria_paris@institutpasteur@psl_univ@UParisDescartes@inria_grenoble @u_grenoblealpespic.twitter.com/oMajq2uiFx
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Maha Elbayad proslijedio/la je Tweet
Available
#PhD position on incremental seq2seq mapping for speech generation. Funded by the new#Grenoble#AI Research Institute (#3IA MIAI). More info at http://tinyurl.com/y62ut2coHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Maha Elbayad proslijedio/la je Tweet
Interested to work on incremental sequence-to-sequence mapping for speech generation using deep neural networks (PhD funded by Grenoble Artificial Intelligence Institute) ? Please contact (
@thomashueber ;@laurent_besacie and laurent.girin@gipsa-lab.fr) to know more...Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Maha Elbayad proslijedio/la je Tweet
I've spent most of 2018 training models that could barely fit 1-4 samples/GPU. But SGD usually needs more than few samples/batch for decent results. I wrote a post gathering practical tips I use, from simple tricks to multi-GPU code & distributed setups: https://medium.com/huggingface/training-larger-batches-practical-tips-on-1-gpu-multi-gpu-distributed-setups-ec88c3e51255 …pic.twitter.com/pQTXQ9X7Ug
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Maha Elbayad proslijedio/la je Tweet
New seq2seq architecture - jointly encodes source and targets into a 2D ConvNet. No enc/dec or explicit attention. Outperforming ConvS2S and Transformers on IWSLT'14 de<->en, with 3 to 8 times less parameters from
@melbayad and team https://arxiv.org/abs/1808.03867 https://github.com/elbayadm/attn2d pic.twitter.com/KFdcucErHI
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Our paper "2D Convolutional Input-Output Coding for Sequence-to-Sequence Prediction" has been accepted
@conll2018. Pre-print soon#NLProcpic.twitter.com/tyQ5X4ns20
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Maha Elbayad proslijedio/la je Tweet
Simplicity is still competitive! Standard LSTM/QRNN models can achieve state-of-the-art results on character (PTB, enwik8) + word level (WikiText-103) language modeling datasets in 12-48 hours w/ a single GPU. Joint work w/
@StrongDuality &@RichardSocher https://arxiv.org/abs/1803.08240 pic.twitter.com/wvn6fLqiJb
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Maha Elbayad proslijedio/la je Tweet
One week left to apply to
#PAISS2018, our summer school on AI, co-organized by@inria_grenoble,@naverlabseurope ! http://bit.ly/2CKOrUJ - July 2-6th in Grenoble. Featuring@ylecun@kchonyc@hugo_larochelle , A. Zisserman, L. Bottou, L. Agapito, M. Hebert, E. Dupoux and more.pic.twitter.com/lAw5hlN5Mk
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