NeurIPS 2019 Notes
David Abel : https://david-abel.github.io/notes/neurips_2019.pdf
#ArtificialIntelligence #DeepLearning #NeurIPS2019
David Abel : https://david-abel.github.io/notes/neurips_2019.pdf
#ArtificialIntelligence #DeepLearning #NeurIPS2019
Few-shot Video-to-Video Synthesis
https://www.youtube.com/watch?v=8AZBuyEuDqc&feature=youtu.be
[Paper] 👉 https://arxiv.org/abs/1910.12713
[Video]👉https://www.youtube.com/watch?v=8AZBuyEuDqc&feature=youtu.be
Code👉https://github.com/NVlabs/few-shot-vid2vid
https://www.youtube.com/watch?v=8AZBuyEuDqc&feature=youtu.be
[Paper] 👉 https://arxiv.org/abs/1910.12713
[Video]👉https://www.youtube.com/watch?v=8AZBuyEuDqc&feature=youtu.be
Code👉https://github.com/NVlabs/few-shot-vid2vid
YouTube
Few-Shot Video-to-Video Synthesis (NeurIPS 2019)
Few-shot photorealistic video-to-video translation. It can be used for generating human motions from poses, synthesizing people talking from edge maps, or turning semantic label maps into photo-realistic videos. For more details, please visit https://nvl…
Nvidia’s StyleGAN2: Analyzing and Improving the Image Quality of StyleGAN
Paper: https://arxiv.org/pdf/1912.04958.pdf
Code: https://github.com/NVlabs/stylegan2
https://www.marktechpost.com/2019/12/13/nvidias-stylegan2-analyzing-and-improving-the-image-quality-of-stylegan/
Paper: https://arxiv.org/pdf/1912.04958.pdf
Code: https://github.com/NVlabs/stylegan2
https://www.marktechpost.com/2019/12/13/nvidias-stylegan2-analyzing-and-improving-the-image-quality-of-stylegan/
GitHub
GitHub - NVlabs/stylegan2: StyleGAN2 - Official TensorFlow Implementation
StyleGAN2 - Official TensorFlow Implementation. Contribute to NVlabs/stylegan2 development by creating an account on GitHub.
How Meta-Learning Could Help Us Accomplish Our Grandest AI Ambitions, and Early, Exotic Steps in that Direction
Jeff Clune : https://www.cs.uwyo.edu/~jeffclune/share/2019_12_13_NeurIPS_Metalearning.pdf
#ArtificialGeneralIntelligence #AGI #MetaLearning
Jeff Clune : https://www.cs.uwyo.edu/~jeffclune/share/2019_12_13_NeurIPS_Metalearning.pdf
#ArtificialGeneralIntelligence #AGI #MetaLearning
Nice list of references on using deep nets and models of brain and behavior, specifically using ConvNets as models of the visual cortex.
https://docs.google.com/document/d/1qil2ylAnw6XrHPymYjKKYNDJn2qZQYA_Qg2_ijl-MaQ/mobilebasic
@ArtificialIntelligenceArticles
https://docs.google.com/document/d/1qil2ylAnw6XrHPymYjKKYNDJn2qZQYA_Qg2_ijl-MaQ/mobilebasic
@ArtificialIntelligenceArticles
Neural network reconstructs human thoughts from brain waves in real time
https://techxplore.com/news/2019-10-neural-network-reconstructs-human-thoughts.html
https://techxplore.com/news/2019-10-neural-network-reconstructs-human-thoughts.html
Tech Xplore
Neural network reconstructs human thoughts from brain waves in real time
Researchers from Russian corporation Neurobotics and the Moscow Institute of Physics and Technology have found a way to visualize a person's brain activity as actual images mimicking what they observe ...
New paper from Geoffry Hinton
NASA: Neural Articulated Shape Approximation. Timothy Jeruzalski, Boyang Deng, Mohammad Norouzi, JP Lewis, Geoffrey Hinton, and Andrea Tagliasacchi
arxiv.org/abs/1912.03207
@ArtificialIntelligenceArticles
NASA: Neural Articulated Shape Approximation. Timothy Jeruzalski, Boyang Deng, Mohammad Norouzi, JP Lewis, Geoffrey Hinton, and Andrea Tagliasacchi
arxiv.org/abs/1912.03207
@ArtificialIntelligenceArticles
arXiv.org
NASA: Neural Articulated Shape Approximation
Efficient representation of articulated objects such as human bodies is an important problem in computer vision and graphics. To efficiently simulate deformation, existing approaches represent 3D...
how will machine learning transform the neurosciences?
https://nikokriegeskorte.org/2016/10/27/how-will-the-neurosciences-be-transformed-by-machine-learning-and-big-data/
https://nikokriegeskorte.org/2016/10/27/how-will-the-neurosciences-be-transformed-by-machine-learning-and-big-data/
nikokriegeskorte
How will the neurosciences be transformed by machine learning and big data?
[R8I7] Machine learning and statistics have been rapidly advancing in the past decade. Boosted by big data sets, new methods for inference and prediction are transforming many fields of science and…
Postdoctoral Fellow in Bioinformatics, Deep Learning
https://bioinformatics.ca/job-postings/a24301d0-1c3b-11ea-947d-63bc5c89c0f8/#/?&order=desc
https://t.iss.one/ArtificialIntelligenceArticles
https://bioinformatics.ca/job-postings/a24301d0-1c3b-11ea-947d-63bc5c89c0f8/#/?&order=desc
https://t.iss.one/ArtificialIntelligenceArticles
Telegram
ArtificialIntelligenceArticles
for who have a passion for -
1. #ArtificialIntelligence
2. Machine Learning
3. Deep Learning
4. #DataScience
5. #Neuroscience
6. #ResearchPapers
7. Related Courses and Ebooks
1. #ArtificialIntelligence
2. Machine Learning
3. Deep Learning
4. #DataScience
5. #Neuroscience
6. #ResearchPapers
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"The International Mathematical Olympiad Grand Challenge"
The challenge: build an AI that can win a gold medal in the competition -- https://imo-grand-challenge.github.io
#ArtificialIntelligence #DeepLearning #Mathematics
The challenge: build an AI that can win a gold medal in the competition -- https://imo-grand-challenge.github.io
#ArtificialIntelligence #DeepLearning #Mathematics
A Beginner's Guide to the Mathematics of Neural Networks
https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.161.3556&rep=rep1&type=pdf
https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.161.3556&rep=rep1&type=pdf
Machine Learning on Graphs @ NeurIPS 2019
https://medium.com/mlreview/machine-learning-on-graphs-neurips-2019-875eecd41069
https://medium.com/mlreview/machine-learning-on-graphs-neurips-2019-875eecd41069
Yoshua Bengio From System 1 Deep Learning to System 2 Deep Learning | NeurIPS 2019
@ArtificialIntelligenceArticles
https://youtu.be/FtUbMG3rlFs
https://t.iss.one/ArtificialIntelligenceArticles
@ArtificialIntelligenceArticles
https://youtu.be/FtUbMG3rlFs
https://t.iss.one/ArtificialIntelligenceArticles
YouTube
Yoshua Bengio | From System 1 Deep Learning to System 2 Deep Learning | NeurIPS 2019
Slides: https://www.iro.umontreal.ca/~bengioy/NeurIPS-11dec2019.pdf
Summary:
Past progress in deep learning has concentrated mostly on learning from a static dataset, mostly for perception tasks and other System 1 tasks which are done intuitively and unconsciously…
Summary:
Past progress in deep learning has concentrated mostly on learning from a static dataset, mostly for perception tasks and other System 1 tasks which are done intuitively and unconsciously…
Analyzed 1k+ Deep Learning Projects on Github and related StackOverflow issues. And interviewed 20 researchers and practitioners
https://arxiv.org/abs/1910.11015
https://t.iss.one/ArtificialIntelligenceArticles
https://arxiv.org/abs/1910.11015
https://t.iss.one/ArtificialIntelligenceArticles
Telegram
ArtificialIntelligenceArticles
for who have a passion for -
1. #ArtificialIntelligence
2. Machine Learning
3. Deep Learning
4. #DataScience
5. #Neuroscience
6. #ResearchPapers
7. Related Courses and Ebooks
1. #ArtificialIntelligence
2. Machine Learning
3. Deep Learning
4. #DataScience
5. #Neuroscience
6. #ResearchPapers
7. Related Courses and Ebooks
Intel buys AI chipmaker Habana for $2 billion
https://techcrunch.com/2019/12/16/intel-buys-ai-chipmaker-habana-for-2-billion/
https://techcrunch.com/2019/12/16/intel-buys-ai-chipmaker-habana-for-2-billion/
TechCrunch
Intel buys AI chipmaker Habana for $2 billion
Intel this morning issued a statement noting that it has picked up Israeli AI chipmaker Habana Labs. The deal, valued at around $2 billion, is the latest piece of some hefty investments in artificial intelligence that include names like Nervana Systems and…
Anomaly Detection - Another Challenge for Artificial Intelligence
https://www.experfy.com/blog/anomaly-detection-another-challenge-for-artificial-intelligence
https://www.experfy.com/blog/anomaly-detection-another-challenge-for-artificial-intelligence
Newtonian Monte Carlo: a second-order gradient method for speeding up MCMC
https://openreview.net/forum?id=SklKcJ3EFH
https://openreview.net/forum?id=SklKcJ3EFH
openreview.net
Newtonian Monte Carlo: a second-order gradient method for speeding...
We present Newtonian Monte Carlo (NMC), a method to improve Markov Chain Monte Carlo (MCMC) convergence by analyzing the first and second order gradients of the target density to determine a...
"Top 100 most discussed academic papers" (across all fields) this year:
Explore the list of the most discussed and shared research of 2019. The world’s climate emergency, vaccinations, and developments in AI all feature heavily in this year’s list. https://www.altmetric.com/top100/ #AltmetricTop100 https://t.iss.one/ArtificialIntelligenceArticles
Explore the list of the most discussed and shared research of 2019. The world’s climate emergency, vaccinations, and developments in AI all feature heavily in this year’s list. https://www.altmetric.com/top100/ #AltmetricTop100 https://t.iss.one/ArtificialIntelligenceArticles