Supervised learning with quantum-enhanced feature spaces

- Vojtěch Havlíček et. al.

Nature Version:
https://www.nature.com/articles/s41586-019-0980-2

Free Access:
https://arxiv.org/pdf/1804.11326

Google’s dataset search: https://toolbox.google.com/datasetsearch

#dataset #artificialintelligence #datasets #deeplearning #machinelearning

Deep Learning Drizzle

"Read enough so you start developing intuitions and then trust your intuitions and go for it!" ​- Geoffrey Hinton
https://deep-learning-drizzle.github.io/

#artificialintelligence #deeplearning #machinelearning

The Neural Aesthetic

Notes and around 30 hours of video lectures, by Gene Kogan: https://ml4a.github.io/classes/itp-F18/

#art #artificialintelligence #deeplearning #generativeadversarialnetworks

Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly

By K. Kandasamy et al.: https://www.cs.cmu.edu/~kkandasa/docs/proposal.pdf

Python Library: https://github.com/dragonfly/dragonfly/
Docs: https://dragonfly-opt.readthedocs.io/en/master/

#ArtificialIntelligence #DeepLearning #MachineLearning

Tracking Progress in Natural Language Processing

By Sebastian Ruder: https://github.com/sebastianruder/NLP-progress

#deeplearning #machinelearning #naturallanguageprocessing

Semantic Image Synthesis with Spatially-Adaptive Normalization”

Park et al.: https://nvlabs.github.io/SPADE/

#artificialintelligence #deeplearning #generativedesign

Reinforcement Learning for Improving Agent Design"

By David Ha

Blog: https://designrl.github.io
Paper: https://arxiv.org/abs/1810.03779
Code: https://github.com/hardmaru/astool/

#ReinforcementLearning
#MachineLearning #Design

Seven Myths in Machine Learning Research
https://crazyoscarchang.github.io/

Neighbourhood Consensus Networks

Rocco et al.: https://arxiv.org/abs/1810.10510

#ArtificialIntelligence #DeepLearning #MachineLearning #NeuralNetworks #nips2018

Coconet 🥥

The ML model behind yesterday’s Bach Doodle. By Huang et al.:

https://magenta.tensorflow.org/coconet

#artificialintelligence #deeplearning #machinelearning #tensorflow #tensorflowjs

This resume does not exist

The following resume is generated by neural network trained on public resources.

By Enhancv: https://thisresumedoesnotexist.com/

#artificialintelligence #deeplearning #generativeadversarialnetworks

This Waifu Does Not Exist

StyleGAN-generated anime face & GPT-2-small-generated anime plot: https://www.thiswaifudoesnotexist.net/

#ArtificialIntelligence #generativeadversarialnetworks #StyleGAN

Best Practices of ML Engineering"

https://martin.zinkevich.org/rules_of_ml/rules_of_ml.pdf

#ArtificialIntelligence #DeepLearning #MachineLearning

Brain signals converted into speech for the first time in human history


https://www.youtube.com/watch?v=TRIlCedyxOw

Stylegan for art

GAN for generative art: https://github.com/ak9250/stylegan-art

#artificialintelligence #deeplearning #generativeadversarialnetworks

Visualizing memorization in RNNs

https://distill.pub/2019/memorization-in-rnns/

#artificialintelligence #deeplearning #machinelearning

Machine learning, meet quantum computing

A quantum version of the building block behind neural networks could be exponentially more powerful. By Emerging Technology from the arXiv: https://www.technologyreview.com/s/612435/machine-learning-meet-quantum-computing/

An Artificial Neuron Implemented on an Actual Quantum Processor, Tacchino et al.: https://arxiv.org/abs/1811.02266

#artificialinteligence #quantumcomputing #neuralnetworks #machinelearning #processors

PHYSICS | MACHINE LEARNING

Recent papers combining the fields of physics - especially quantum mechanics - and machine learning : https://physicsml.github.io/pages/papers.html