A Review of the Recent History of Natural Language Processing
By Sebastian Ruder: https://blog.aylien.com/a-review-of-the-recent-history-of-natural-language-processing/
By Sebastian Ruder: https://blog.aylien.com/a-review-of-the-recent-history-of-natural-language-processing/
Why Momentum Really Works
By Gabriel Goh: https://distill.pub/2017/momentum/
#artificialintelligence #deeplearning #machinelearning
By Gabriel Goh: https://distill.pub/2017/momentum/
#artificialintelligence #deeplearning #machinelearning
Search ICLR 2019
Having trouble finding the papers that use technique X, dataset D, or cite author ME in the #ICLR2019 submissions?
Search ICLR 2019: https://search.iclr2019.smerity.com/
Having trouble finding the papers that use technique X, dataset D, or cite author ME in the #ICLR2019 submissions?
Search ICLR 2019: https://search.iclr2019.smerity.com/
Free online textbook of Jupyter notebooks for fast.ai
Computational Linear Algebra course
https://github.com/fastai/numerical-linear-algebra
Computational Linear Algebra course
https://github.com/fastai/numerical-linear-algebra
Generative Ensembles for Robust Anomaly Detection
By Hyunsun Choi, Eric Jang: https://arxiv.org/abs/1810.01392
By Hyunsun Choi, Eric Jang: https://arxiv.org/abs/1810.01392
New TPU example
Fashion MNIST in Colab: https://colab.research.google.com/github/tensorflow/tpu/blob/master/tools/colab/fashion_mnist.ipynb
Fashion MNIST in Colab: https://colab.research.google.com/github/tensorflow/tpu/blob/master/tools/colab/fashion_mnist.ipynb
Probabilistic Meta-Representations Of Neural Networks
Karaletsos et al. : https://www.gatsby.ucl.ac.uk/~balaji/udl-camera-ready/UDL-13.pdf
Karaletsos et al. : https://www.gatsby.ucl.ac.uk/~balaji/udl-camera-ready/UDL-13.pdf
SOTAWHAT - A script to keep track of state-of-the-art AI research
Post: https://huyenchip.com/2018/10/04/sotawhat.html
GitHub: https://github.com/chiphuyen/sotawhat
Post: https://huyenchip.com/2018/10/04/sotawhat.html
GitHub: https://github.com/chiphuyen/sotawhat
Why we need to continue to try to better understand human/animal brains for #AI research. "Neuroscience-Inspired Artificial Intelligence" https://www.cell.com/neuron/fulltext/S0896-6273(17)30509-3
Connections between physics and deep learning
https://www.youtube.com/watch?v=5MdSE-N0bxs @ArtificialIntelligenceArticles
https://www.youtube.com/watch?v=5MdSE-N0bxs @ArtificialIntelligenceArticles
Human Pose Estimation 101
By Sudharshan Chandra Babu: https://github.com/cbsudux/Human-Pose-Estimation-101
By Sudharshan Chandra Babu: https://github.com/cbsudux/Human-Pose-Estimation-101
CosmoFlow: Using Deep Learning to Learn the Universe at Scale
arxiv.org/abs/1808.04728 #deeplearning #physics #universe
arxiv.org/abs/1808.04728 #deeplearning #physics #universe
Imperial College Mathematics department Deep Learning course
From scratch to BigGANs : https://www.deeplearningmathematics.com
#artificialintelligence #deeplearning #mathematics
From scratch to BigGANs : https://www.deeplearningmathematics.com
#artificialintelligence #deeplearning #mathematics
Google DeepMind founder Demis Hassabis: Three truths about AI
1) AI will save us from ourselves
2) AI will lead to Nobel-prize winning science breakthroughs
3) Deep learning is not enough to crack AI
video : https://www.techrepublic.com/videos/artificial-intelligence-is-vital-for-business-but-its-no-magic-bullet/
https://www.techrepublic.com/google-amp/article/google-deepmind-founder-demis-hassabis-three-truths-about-ai/
https://t.iss.one/ArtificialIntelligenceArticles
1) AI will save us from ourselves
2) AI will lead to Nobel-prize winning science breakthroughs
3) Deep learning is not enough to crack AI
video : https://www.techrepublic.com/videos/artificial-intelligence-is-vital-for-business-but-its-no-magic-bullet/
https://www.techrepublic.com/google-amp/article/google-deepmind-founder-demis-hassabis-three-truths-about-ai/
https://t.iss.one/ArtificialIntelligenceArticles
TechRepublic
AI is vital for business but it's no magic bullet
Machine learning can be a black box. Before you invest in AI technologies, make sure you have a clear understanding of how the technology can help achieve your business goals.
Announcing fast.ai part 1 now available as Kaggle Kernels
Blog by William Horton : https://medium.com/@hortonhearsafoo/announcing-fast-ai-part-1-now-available-as-kaggle-kernels-8ef4ca3b9ce6
Blog by William Horton : https://medium.com/@hortonhearsafoo/announcing-fast-ai-part-1-now-available-as-kaggle-kernels-8ef4ca3b9ce6
Where Did My Optimum Go? : An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods
Henderson et al.: https://arxiv.org/abs/1810.02525
Henderson et al.: https://arxiv.org/abs/1810.02525
ArviZ: Exploratory analysis of Bayesian models
Includes functions for posterior analysis, model checking, comparison and diagnostics.
GitHub : https://github.com/arviz-devs/arviz
Includes functions for posterior analysis, model checking, comparison and diagnostics.
GitHub : https://github.com/arviz-devs/arviz
Video lectures of MLSS2018, Tubingen.
You can learn various ML topics from big names, e.g., Scholkopf, Jordan, Ghahramani, Salakhutdinov, Mnih, Peters, Schaal, etc. https://goo.gl/1ahzJh
You can learn various ML topics from big names, e.g., Scholkopf, Jordan, Ghahramani, Salakhutdinov, Mnih, Peters, Schaal, etc. https://goo.gl/1ahzJh
Talos : Hyperparameter Scanning and Optimization for Keras
Code : https://github.com/autonomio/talos
#ai #bigdata #machinelearning
Code : https://github.com/autonomio/talos
#ai #bigdata #machinelearning
PHYSICS | MACHINE LEARNING
Recent papers combining the fields of physics - especially quantum mechanics - and machine learning : https://physicsml.github.io/pages/papers.html
Recent papers combining the fields of physics - especially quantum mechanics - and machine learning : https://physicsml.github.io/pages/papers.html