ArtificialIntelligenceArticles

Machine Learning in High Energy Physics Community White Paper
Albertsson et al.: https://arxiv.org/abs/1807.02876
#machinelearning #physics #technology

357 views12:29

Playing Atari with Six Neurons
Cuccu et al.: https://arxiv.org/abs/1806.01363
#MachineLearning #ArtificialIntelligence #EvolutionaryComputing

arXiv.org

Playing Atari with Six Neurons

Deep reinforcement learning, applied to vision-based problems like Atari games, maps pixels directly to actions; internally, the deep neural network bears the responsibility of both extracting...

369 views12:31

ArtificialIntelligenceArticles

Machine Learning in High Energy Physics Community White Paper

Albertsson et al.: https://arxiv.org/abs/1807.02876

#machinelearning #physics #technology

391 views12:32

ArtificialIntelligenceArticles

A New Confidence Interval for the Mean of a Bounded Random Variable
Erik Learned-Miller and Philip S. Thomas: https://arxiv.org/abs/1905.06208
#Statistics #MachineLearning #Probability

417 views15:24

ArtificialIntelligenceArticles

https://medium.com/tensorflow/tensorflow-model-optimization-toolkit-pruning-api-42cac9157a6a

Medium

TensorFlow Model Optimization Toolkit — Pruning API

Since we introduced the Model Optimization Toolkit — a suite of techniques that developers, both novice and advanced, can use to optimize…

418 views17:13

ArtificialIntelligenceArticles

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

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...

419 views17:22

ArtificialIntelligenceArticles

https://www.cs.columbia.edu/~smith/hybrid_grains/

www.cs.columbia.edu

Hybrid Grains: Adaptive Coupling of Discrete and Continuum Simulations of Granular Media

Hybrid Grains: Adaptive Coupling of Discrete and Continuum Simulations of Granular Media Project Page

383 views17:52

ArtificialIntelligenceArticles

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

Medium

Geometric Deep Learning for Pose Estimation

Theory and Pytorch Implementation Tutorial to find Object Pose from Single Monocular Image

433 views20:48

ArtificialIntelligenceArticles

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

Medium

Introducing FastBert — A simple Deep Learning library for BERT Models

A simple to use Deep Learning library to build and deploy BERT models

390 views20:48

ArtificialIntelligenceArticles

A Survey on Neural Architecture Search
Wistuba et al.: https://arxiv.org/abs/1905.01392
#MachineLearning #ComputerVision #EvolutionaryComputing

411 views05:26

ArtificialIntelligenceArticles

Cellular automata as convolutional neural networks"

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...

387 views05:27

ArtificialIntelligenceArticles

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

405 views05:27

ArtificialIntelligenceArticles

UC Berkeley Graduate Receives ACM Doctoral Dissertation Award
https://www.acm.org/media-center/2019/may/dissertation-award-2018

422 views05:29

ArtificialIntelligenceArticles

Fast Bert
https://medium.com/huggingface/introducing-fastbert-a-simple-deep-learning-library-for-bert-models-89ff763ad384

Medium

Introducing FastBert — A simple Deep Learning library for BERT Models

A simple to use Deep Learning library to build and deploy BERT models

472 views05:32

ArtificialIntelligenceArticles

Deep Compressed Sensing
Wu et al.: https://arxiv.org/pdf/1905.06723.pdf
#deeplearning #generativeadversarialnetworks #technology

389 views12:36

ArtificialIntelligenceArticles

https://www.quora.com/What-are-the-most-interesting-things-Facebook-is-doing-in-ML-research/answer/Joaquin-Qui%C3%B1onero-Candela

385 views15:31

ArtificialIntelligenceArticles

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

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:…

388 views15:31

ArtificialIntelligenceArticles

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

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...

353 views16:06

ArtificialIntelligenceArticles

iNLTK

Natural Language Toolkit for Indic Languages

GitHub, by Gaurav Arora: https://github.com/goru001/inltk

#deeplearning #naturallanguageprocessing #NLP