SynSin: End-to-end View Synthesis from a Single Image
Wiles et al.: https://arxiv.org/abs/1912.08804
#ArtificialIntelligence #DeepLearning #MachineLearning
Wiles et al.: https://arxiv.org/abs/1912.08804
#ArtificialIntelligence #DeepLearning #MachineLearning
arXiv.org
SynSin: End-to-end View Synthesis from a Single Image
Single image view synthesis allows for the generation of new views of a scene given a single input image. This is challenging, as it requires comprehensively understanding the 3D scene from a...
2019 has been a crazy year with all the AI hype but lets take a look at what all happened this year.
👉 AI Research went crazy. Between 1998 and 2018, there’s been a 300% increase in the publication of peer-reviewed papers on AI.
👉 Attendance at conferences went crazy too, for eg. NeurIPS, got some 13,500 attendees this year, up 800% from 2012.
👉 Education too bumped up, a lot of folks took up MSc / PhD with something in Machine Learning
👉 USA still leads in AI, no matter what other countries say
👉 AI algorithms are becoming cheaper and mainstream
👉 self driving vehicles market is coming of age and raking in a lot of investments
Download Full Stanford Report: https://hai.stanford.edu/sites/g/files/sbiybj10986/f/ai_index_2019_report.pdf
👉 AI Research went crazy. Between 1998 and 2018, there’s been a 300% increase in the publication of peer-reviewed papers on AI.
👉 Attendance at conferences went crazy too, for eg. NeurIPS, got some 13,500 attendees this year, up 800% from 2012.
👉 Education too bumped up, a lot of folks took up MSc / PhD with something in Machine Learning
👉 USA still leads in AI, no matter what other countries say
👉 AI algorithms are becoming cheaper and mainstream
👉 self driving vehicles market is coming of age and raking in a lot of investments
Download Full Stanford Report: https://hai.stanford.edu/sites/g/files/sbiybj10986/f/ai_index_2019_report.pdf
Report on an IPAM long program on ML for Physics and Physics for ML (which I co-organized), written by some of the participants.
https://www.ipam.ucla.edu/news/white-paper-machine-learning-for-physics-and-the-physics-of-learning/
https://www.ipam.ucla.edu/news/white-paper-machine-learning-for-physics-and-the-physics-of-learning/
IPAM
White Paper: Machine Learning for Physics and the Physics of Learning - IPAM
This white paper is an outcome of IPAM’s fall 2019 long program, Machine Learning for Physics and the Physics of Learning. During the last couple of decades advances in artificial intelligence and machine learning (ML) have revolutionized many application…
Yoshua Bengio
@ArtificialIntelligenceArticles
I am currently recruiting a postdoc for the visualizing climate change project at Mila (https://mila.quebec/en/ai-society/visualizing-climate-change/). The ideal candidate would have a strong background in ML/DL, specifically in Computer Vision and generative models, with a clear and strong interest in the environment and climate change in particular. Please apply on the mila website, specifying your interest for this project in the application. Application form here: https://docs.google.com/forms/d/1pIfuSBORzKRLBEG8zIdJoEwwlsfvvKi2D2ENFPcbX5c/viewform?edit_requested=true#start=invite
Sasha Lu
@ArtificialIntelligenceArticles
@ArtificialIntelligenceArticles
I am currently recruiting a postdoc for the visualizing climate change project at Mila (https://mila.quebec/en/ai-society/visualizing-climate-change/). The ideal candidate would have a strong background in ML/DL, specifically in Computer Vision and generative models, with a clear and strong interest in the environment and climate change in particular. Please apply on the mila website, specifying your interest for this project in the application. Application form here: https://docs.google.com/forms/d/1pIfuSBORzKRLBEG8zIdJoEwwlsfvvKi2D2ENFPcbX5c/viewform?edit_requested=true#start=invite
Sasha Lu
@ArtificialIntelligenceArticles
Mila
This Climate Does Not Exist - Mila
How Far is Too Far? | The Age of A.I.
https://www.youtube.com/watch?v=UwsrzCVZAb8&feature=youtu.be
https://www.youtube.com/watch?v=UwsrzCVZAb8&feature=youtu.be
YouTube
How Far is Too Far? | The Age of A.I.
Can A.I. make music? Can it feel excitement and fear? Is it alive? Will.i.am and Mark Sagar push the limits of what a machine can do. How far is too far, and how much further can we go?
The Age of A.I. is a 8 part documentary series hosted by Robert Downey…
The Age of A.I. is a 8 part documentary series hosted by Robert Downey…
Look at Tackling Climate Change with ML 2 on SlidesLive! #NeurIPS2019 climate change workshop, including a panel with our very own Andrew Ng, Yoshua Bengio, Jeff Dean, Carla Gomes, and Lester Mackey
https://slideslive.com/38922107/tackling-climate-change-with-ml-2
https://slideslive.com/38922107/tackling-climate-change-with-ml-2
SlidesLive
Leveraging digitalization for urban solutions in the Anthropocene
Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdo... https://arxiv.org/abs/1912.05684
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)....