Data Science by ODS.ai 🦜
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First Telegram Data Science channel. Covering all technical and popular staff about anything related to Data Science: AI, Big Data, Machine Learning, Statistics, general Math and the applications of former. To reach editors contact: @haarrp
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Neural Voice Cloning with a Few Samples

Paper behind Baidu's Neural Voice Cloning with Few samples: http://research.baidu.com/neural-voice-cloning-samples/

Arxiv: https://arxiv.org/abs/1802.06006

#arxiv #baidu #neuralnetworks #voice #sound #dl
​​STACL: Simultaneous Translation with Integrated Anticipation and Controllable Latency

Baidu technology presented at #NIPS2018

Website: https://simultrans-demo.github.io
ArXiV: https://arxiv.org/abs/1810.08398

#NLP #translation #Baidu
​​StNet: Local and Global Spatial-Temporal Modeling for Action Recognition

Baidu in one of #AAAI19 papers, proposed StNet, a novel framework for both local and global spatial-temporal modeling in videos. StNet outperforms several state-of-the-art approaches in action recognition and balances btw accuracy and model complexity.

ArXiV: https://arxiv.org/pdf/1811.01549.pdf

#SOTA #Baidu
Parallel Neural Text-to-Speech

#Baidu Research team has reached a new milestone in text-to-speech (#TTS) with the release of the first fully parallel neural TTS system. It generates speech from text with a single feed-forward pass, which brings ~17.5X speed-up over previous autoregressive models.

Link: https://arxiv.org/pdf/1905.08459.pdf
​​Baidu announced opening 10k sq m park with 200 operating autonomous vehicles in China.

Source: https://twitter.com/Baidu_Inc/status/1420776376861405185

#Baidu #selfdriving
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity

#Baidu research proposed a structure-aware interactive graph neural network ( #SIGN ) to better learn representations of protein-ligand complexes, since drug discovery relies on the successful prediction of protein-ligand binding affinity.

Link: https://dl.acm.org/doi/10.1145/3447548.3467311

#biolearning #deeplearning