VIBE: Video Inference for Human Body Pose and Shape Estimation. https://arxiv.org/abs/1912.05656
arXiv.org
VIBE: Video Inference for Human Body Pose and Shape Estimation
Human motion is fundamental to understanding behavior. Despite progress on single-image 3D pose and shape estimation, existing video-based state-of-the-art methods fail to produce accurate and...
Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection. https://arxiv.org/abs/1912.05651
arXiv.org
Bayesian Variational Autoencoders for Unsupervised...
Despite their successes, deep neural networks may make unreliable predictions when faced with test data drawn from a distribution different to that of the training data, constituting a major...
Neural Voice Puppetry: Audio-driven Facial Reenactment. https://arxiv.org/abs/1912.05566
arXiv.org
Neural Voice Puppetry: Audio-driven Facial Reenactment
We present Neural Voice Puppetry, a novel approach for audio-driven facial video synthesis. Given an audio sequence of a source person or digital assistant, we generate a photo-realistic output...
XGBoost: An Intuitive Explanation
Ashutosh Nayak : https://towardsdatascience.com/xgboost-an-intuitive-explanation-88eb32a48eff
#MachineLearning #DataScience #RandomForest #Xgboost #DecisionTree
Ashutosh Nayak : https://towardsdatascience.com/xgboost-an-intuitive-explanation-88eb32a48eff
#MachineLearning #DataScience #RandomForest #Xgboost #DecisionTree
What can the brain teach us about building artificial intelligence?
Dileep George : https://arxiv.org/abs/1909.01561v1
#ArtificialIntelligence #Brain #Cognition
Dileep George : https://arxiv.org/abs/1909.01561v1
#ArtificialIntelligence #Brain #Cognition
YouTube's new documentary demystifying artificial intelligence features Robert Downey Jr. and an AI baby
https://www.businessinsider.com/youtube-ai-documentary-series-hosted-by-robert-downey-jr-2019-12
video :
https://www.youtube.com/watch?v=UwsrzCVZAb8&feature=youtu.be
https://www.businessinsider.com/youtube-ai-documentary-series-hosted-by-robert-downey-jr-2019-12
video :
https://www.youtube.com/watch?v=UwsrzCVZAb8&feature=youtu.be
Business Insider
YouTube's new documentary demystifying artificial intelligence features Robert Downey Jr. and an AI baby
The stated aim of "The Age of AI" is to demystify misconceptions about AI, and showcases bizarre new technologies.
Computer Vision Intern – Zurich
https://ai-jobs.net/job/computer-vision-intern-zurich/
https://ai-jobs.net/job/computer-vision-intern-zurich/
ICLR 2020 Decisions: two papers got accepted ICLR. Grateful to have contributed to these works with a great set of collaborators !
1) Compositional Continual Language Learning
Yuanpeng Li, Liang Zhao, Ken Church, Mohamed Elhoseiny.
https://openreview.net/forum?id=rklnDgHtDS
2) Uncertainty-guided Continual Learning with Bayesian Neural Networks
Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach
https://openreview.net/forum?id=HklUCCVKDB
1) Compositional Continual Language Learning
Yuanpeng Li, Liang Zhao, Ken Church, Mohamed Elhoseiny.
https://openreview.net/forum?id=rklnDgHtDS
2) Uncertainty-guided Continual Learning with Bayesian Neural Networks
Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach
https://openreview.net/forum?id=HklUCCVKDB
openreview.net
Compositional Language Continual Learning
Motivated by the human's ability to continually learn and gain knowledge over time, several research efforts have been pushing the limits of machines to constantly learn while alleviating...
"Y-Autoencoders: disentangling latent representations via sequential-encoding"
Patacchiola et al.: https://arxiv.org/abs/1907.10949
GitHub: https://github.com/mpatacchiola/Y-AE
#AutoEncoders #GenerativeModel #MachineLearning
Patacchiola et al.: https://arxiv.org/abs/1907.10949
GitHub: https://github.com/mpatacchiola/Y-AE
#AutoEncoders #GenerativeModel #MachineLearning
arXiv.org
Y-Autoencoders: disentangling latent representations via...
In the last few years there have been important advancements in generative models with the two dominant approaches being Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs)....
Deepinsight : User-Friendly Deep Learning Tool to Decode Neural Activity in an Automated Way
Paper PDF: https://www.biorxiv.org/content/10.1101/871848v1.full.pdf
Github: https://github.com/CYHSM/DeepInsight
https://www.marktechpost.com/2019/12/20/deepinsight-user-friendly-deep-learning-tool-to-decode-neural-activity-in-an-automated-way/
Paper PDF: https://www.biorxiv.org/content/10.1101/871848v1.full.pdf
Github: https://github.com/CYHSM/DeepInsight
https://www.marktechpost.com/2019/12/20/deepinsight-user-friendly-deep-learning-tool-to-decode-neural-activity-in-an-automated-way/
Paper accepted at ICLR, Improves on the previous DeepMind paper "NALU
Neural Arithmetic Units
paper https://openreview.net/forum?id=H1gNOeHKPS
code https://github.com/AndreasMadsen/stable-nalu
Neural Arithmetic Units
paper https://openreview.net/forum?id=H1gNOeHKPS
code https://github.com/AndreasMadsen/stable-nalu
OpenReview
Neural Arithmetic Units
Neural networks can approximate complex functions, but they struggle to perform exact arithmetic operations over real numbers. The lack of inductive bias for arithmetic operations leaves neural...
Best of Machine Learning in 2019
A look at 17 of the most popular projects, research papers, demos, and more from the subreddit r/MachineLearning over the past year
Few-Shot Unsupervised Image-to-Image Translation
Decomposing latent space to generate custom anime girls
A list of the biggest datasets for machine learning
...
https://heartbeat.fritz.ai/best-of-machine-learning-in-2019-reddit-edition-5fbb676a808
A look at 17 of the most popular projects, research papers, demos, and more from the subreddit r/MachineLearning over the past year
Few-Shot Unsupervised Image-to-Image Translation
Decomposing latent space to generate custom anime girls
A list of the biggest datasets for machine learning
...
https://heartbeat.fritz.ai/best-of-machine-learning-in-2019-reddit-edition-5fbb676a808
Fritz ai
Best of Machine Learning in 2019: Reddit Edition - Fritz ai
To help sift through some of the incredible projects, research, demos, and more in 2019, here’s a look at 17 of the most popular and talked-about projects in machine learning, curated from the r/MachineLearning subreddit. I hope you find something… Continue…
Paper accepted at ICLR, Improves on the previous DeepMind paper "NALU
Neural Arithmetic Units
paper https://openreview.net/forum?id=H1gNOeHKPS
code https://github.com/AndreasMadsen/stable-nalu
Neural Arithmetic Units
paper https://openreview.net/forum?id=H1gNOeHKPS
code https://github.com/AndreasMadsen/stable-nalu
OpenReview
Neural Arithmetic Units
Neural networks can approximate complex functions, but they struggle to perform exact arithmetic operations over real numbers. The lack of inductive bias for arithmetic operations leaves neural...
RVOS: End-to-End Recurrent Network for Video Object Segmentation
CVPR 2019
CODE
https://imatge-upc.github.io/rvos/
CVPR 2019
CODE
https://imatge-upc.github.io/rvos/
imatge-upc.github.io
RVOS: End-to-End Recurrent Network for Video Object Segmentation
Description here
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
Clark et al.: https://openreview.net/forum?id=r1xMH1BtvB
#ArtificialIntelligence #DeepLearning #NaturalLanguageProcessing
Clark et al.: https://openreview.net/forum?id=r1xMH1BtvB
#ArtificialIntelligence #DeepLearning #NaturalLanguageProcessing
OpenReview
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than...
A text encoder trained to distinguish real input tokens from plausible fakes efficiently learns effective language representations.