How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions
Glavas et al.: https://arxiv.org/abs/1902.00508
#ArtificialIntelligence #MachineLearning #NaturalLanguageProcessing
Glavas et al.: https://arxiv.org/abs/1902.00508
#ArtificialIntelligence #MachineLearning #NaturalLanguageProcessing
arXiv.org
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On...
Cross-lingual word embeddings (CLEs) enable multilingual modeling of meaning
and facilitate cross-lingual transfer of NLP models. Despite their ubiquitous
usage in downstream tasks, recent...
and facilitate cross-lingual transfer of NLP models. Despite their ubiquitous
usage in downstream tasks, recent...
Geometric Deep Learning for Pose Estimation
Theory and Pytorch Implementation Tutorial to find Object Pose from Single Monocular Image
By Vaishak Kumar: https://towardsdatascience.com/geometric-deep-learning-for-pose-estimation-6af45da05922
#MachineLearning #ComputerVision #DeepLearning #Robotics #PoseEstimation
Theory and Pytorch Implementation Tutorial to find Object Pose from Single Monocular Image
By Vaishak Kumar: https://towardsdatascience.com/geometric-deep-learning-for-pose-estimation-6af45da05922
#MachineLearning #ComputerVision #DeepLearning #Robotics #PoseEstimation
Medium
Geometric Deep Learning for Pose Estimation
Theory and Pytorch Implementation Tutorial to find Object Pose from Single Monocular Image
Introducing FastBert — A simple Deep Learning library for BERT Models
Blog by Kaushal Trivedi: https://medium.com/huggingface/introducing-fastbert-a-simple-deep-learning-library-for-bert-models-89ff763ad384
#MachineLearning #ArtificialIntelligence #NLP #NaturalLanguageProcessing
Blog by Kaushal Trivedi: https://medium.com/huggingface/introducing-fastbert-a-simple-deep-learning-library-for-bert-models-89ff763ad384
#MachineLearning #ArtificialIntelligence #NLP #NaturalLanguageProcessing
Medium
Introducing FastBert — A simple Deep Learning library for BERT Models
A simple to use Deep Learning library to build and deploy BERT models
A Survey on Neural Architecture Search
Wistuba et al.: https://arxiv.org/abs/1905.01392
#MachineLearning #ComputerVision #EvolutionaryComputing
Wistuba et al.: https://arxiv.org/abs/1905.01392
#MachineLearning #ComputerVision #EvolutionaryComputing
Cellular automata as convolutional neural networks"
By William Gilpin: https://arxiv.org/abs/1809.02942
#CellularAutomata #NeuralNetworks #NeuralComputing #EvolutionaryComputing #ComputationalPhysics
By William Gilpin: https://arxiv.org/abs/1809.02942
#CellularAutomata #NeuralNetworks #NeuralComputing #EvolutionaryComputing #ComputationalPhysics
arXiv.org
Cellular automata as convolutional neural networks
Deep learning techniques have recently demonstrated broad success in predicting complex dynamical systems ranging from turbulence to human speech, motivating broader questions about how neural...
GAN Lab: Play with Generative Adversarial Networks (GANs) in your browser!
By created by Minsuk Kahng, Nikhil Thorat, Polo Chau, Fernanda Viégas, and Martin Wattenberg: https://poloclub.github.io/ganlab/
Research paper: https://minsuk.com/research/papers/kahng-ganlab-vast2018.pdf
#AI #ArtificialIntelligence #DeepLearning #GenerativeAdversarialNetworks
By created by Minsuk Kahng, Nikhil Thorat, Polo Chau, Fernanda Viégas, and Martin Wattenberg: https://poloclub.github.io/ganlab/
Research paper: https://minsuk.com/research/papers/kahng-ganlab-vast2018.pdf
#AI #ArtificialIntelligence #DeepLearning #GenerativeAdversarialNetworks
UC Berkeley Graduate Receives ACM Doctoral Dissertation Award
https://www.acm.org/media-center/2019/may/dissertation-award-2018
https://www.acm.org/media-center/2019/may/dissertation-award-2018
Deep Compressed Sensing
Wu et al.: https://arxiv.org/pdf/1905.06723.pdf
#deeplearning #generativeadversarialnetworks #technology
Wu et al.: https://arxiv.org/pdf/1905.06723.pdf
#deeplearning #generativeadversarialnetworks #technology
Sam Altman’s leap of faith
“We’ve made a soft promise to investors that, ‘Once we build a generally intelligent system, that basically we will ask it to figure out a way to make an investment return for you.'” - Sam Altman
Article by Connie Loizos: https://techcrunch.com/2019/05/18/sam-altmans-leap-of-faith/
#ArtificialIntelligence #AGI #ArtificialGeneralIntelligence #OpenAI #ReinforcementLearning
“We’ve made a soft promise to investors that, ‘Once we build a generally intelligent system, that basically we will ask it to figure out a way to make an investment return for you.'” - Sam Altman
Article by Connie Loizos: https://techcrunch.com/2019/05/18/sam-altmans-leap-of-faith/
#ArtificialIntelligence #AGI #ArtificialGeneralIntelligence #OpenAI #ReinforcementLearning
TechCrunch
Sam Altman’s leap of faith
Earlier this year, founder-investor Sam Altman left his high-profile role as the president of Y Combinator to become the CEO of OpenAI, an AI research outfit that was founded by some of the most prominent people in the tech industry in late 2015. The idea:…
AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
Qian et al.: https://arxiv.org/abs/1905.05879
Demo: https://auspicious3000.github.io/autovc-demo/
#ArtificialIntelligence #DeepLearning #MachineLearning
Qian et al.: https://arxiv.org/abs/1905.05879
Demo: https://auspicious3000.github.io/autovc-demo/
#ArtificialIntelligence #DeepLearning #MachineLearning
arXiv.org
AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
Non-parallel many-to-many voice conversion, as well as zero-shot voice conversion, remain under-explored areas. Deep style transfer algorithms, such as generative adversarial networks (GAN) and...
iNLTK
Natural Language Toolkit for Indic Languages
GitHub, by Gaurav Arora: https://github.com/goru001/inltk
#deeplearning #naturallanguageprocessing #NLP
Natural Language Toolkit for Indic Languages
GitHub, by Gaurav Arora: https://github.com/goru001/inltk
#deeplearning #naturallanguageprocessing #NLP
GitHub
GitHub - goru001/inltk: Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks…
Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need - goru001/inltk
The AI Supply Chain Runs on Ignorance
By Sidney Fussell : https://www.theatlantic.com/technology/archive/2019/05/ever-strava-ai-human-ignorance/589306/
#AISupplyChain #ArtificialIntelligence #SupplyChainTech
By Sidney Fussell : https://www.theatlantic.com/technology/archive/2019/05/ever-strava-ai-human-ignorance/589306/
#AISupplyChain #ArtificialIntelligence #SupplyChainTech
Ford government slashes funding to research institutes focused on artificial intelligence
By Kate Allen:
https://www.thestar.com/news/gta/2019/05/19/ford-government-slashes-funding-to-research-institutes-focused-on-artificial-intelligence.html https://t.iss.one/ArtificialIntelligenceArticles
#ArtificialIntelligence #Ontario #Canada #Research
By Kate Allen:
https://www.thestar.com/news/gta/2019/05/19/ford-government-slashes-funding-to-research-institutes-focused-on-artificial-intelligence.html https://t.iss.one/ArtificialIntelligenceArticles
#ArtificialIntelligence #Ontario #Canada #Research
Check out our new #GAN work on person re-id. Training data is one of the keys to deep learning😈. Given N images, our #cvpr19 oral paper could generate O(NxN) high-fidelity images for training.
Paper link: https://arxiv.org/abs/1904.07223
Full Video: https://www.youtube.com/watch?v=ubCrEAIpQs4
#NVIDIA #UTS #ANU
Paper link: https://arxiv.org/abs/1904.07223
Full Video: https://www.youtube.com/watch?v=ubCrEAIpQs4
#NVIDIA #UTS #ANU
arXiv.org
Joint Discriminative and Generative Learning for Person Re-identification
Person re-identification (re-id) remains challenging due to significant intra-class variations across different cameras. Recently, there has been a growing interest in using generative models to...
Alex Conneau defends his PhD at FAIR-Paris.
He and Guillaume Lample showed that completely-unsupervised language translation is feasible.
Their latest work on unsupervised training of large multilingual transformer auto-encoders can be found here: https://arxiv.org/abs/1901.07291
He and Guillaume Lample showed that completely-unsupervised language translation is feasible.
Their latest work on unsupervised training of large multilingual transformer auto-encoders can be found here: https://arxiv.org/abs/1901.07291
arXiv.org
Cross-lingual Language Model Pretraining
Recent studies have demonstrated the efficiency of generative pretraining for English natural language understanding. In this work, we extend this approach to multiple languages and show the...
Top 100 trending repository of GitHub for Deep learning
https://github.com/mbadry1/Trending-Deep-Learning
https://github.com/mbadry1/Trending-Deep-Learning
GitHub
GitHub - mbadry1/Trending-Deep-Learning: Top 100 trending deep learning repositories sorted by the number of stars gained on a…
Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day. - mbadry1/Trending-Deep-Learning
SinGAN: Learning a Generative Model from a Single Natural Image
Shaham et al.: https://arxiv.org/abs/1905.01164v1
#ArtificialIntelligence #DeepLearning #GenerativeAdversarialNetworks
Shaham et al.: https://arxiv.org/abs/1905.01164v1
#ArtificialIntelligence #DeepLearning #GenerativeAdversarialNetworks