Large-scale Pretraining for Neural Machine Translation with Tens of Billions of Sentence Pairs
https://openreview.net/forum?id=Bkl8YR4YDB
https://openreview.net/forum?id=Bkl8YR4YDB
openreview.net
Large-scale Pretraining for Neural Machine Translation with Tens of...
In this paper, we investigate the problem of training neural machine translation (NMT) systems with a dataset of more than 40 billion bilingual sentence pairs, which is larger than the largest...
The FEYNMAN technique of learning:
Step 1 - Pick and study a topic
Step 2 - Explain the topic to someone, like a child, who is unfamiliar with the topic
Step 3 - Identify any gaps in your understanding
Step 4 - Review and Simplify!
@ArtificialIntelligenceArticles
Step 1 - Pick and study a topic
Step 2 - Explain the topic to someone, like a child, who is unfamiliar with the topic
Step 3 - Identify any gaps in your understanding
Step 4 - Review and Simplify!
@ArtificialIntelligenceArticles
This is Your Brain on Code 🧠💻🔢 computer programming is often associated with math, but researchers used functional MRI scans to show the role of the brain's language processing centers:
https://www.fastcompany.com/3029364/this-is-your-brain-on-code-according-to-functional-mri-imaging
https://www.fastcompany.com/3029364/this-is-your-brain-on-code-according-to-functional-mri-imaging
Fast Company
This Is Your Brain On Code, According To Functional MRI Imaging
Non-coders often associate programming with math, but researchers have used fMRI readings to discover a possible link to the language processing centers of our brains.
TensorFlow 2.0 + Keras overview
For deep learning researchers, by François Chollet : https://colab.research.google.com/drive/1UCJt8EYjlzCs1H1d1X0iDGYJsHKwu-NO
#DeepLearning #MachineLearning #TensorFlow
For deep learning researchers, by François Chollet : https://colab.research.google.com/drive/1UCJt8EYjlzCs1H1d1X0iDGYJsHKwu-NO
#DeepLearning #MachineLearning #TensorFlow
Google
TensorFlow 2.0 + Keras Crash Course.ipynb
Colaboratory notebook
We are releasing a new benchmark and data set to evaluate performance across various neural code search techniques to make it easier to evaluate a new model on a common set of questions. https://ai.facebook.com/blog/neural-code-search-evaluation-dataset/
Facebook
Releasing a new benchmark and dataset for evaluating neural code search models
We are releasing a new benchmark and dataset to evaluate performance across various neural code search techniques to make it easier to evaluate a new model on a common set of questions.
Series of Jupyter Notebooks with step-by-step introduction to data science and machine learning
Code : https://github.com/rasbt/python-machine-learning-book-2nd-edition
#artificialintelligence #datascience #machinelearning
Code : https://github.com/rasbt/python-machine-learning-book-2nd-edition
#artificialintelligence #datascience #machinelearning
LeCun : Video of a debate on AI with Michael Collins, Mike Jordan, Scott Shenker, Jitendra Malik and me.
It took place 09/06 at Columbia U. as part of "Papafest", a workshop in honor of Christos Papadimitriou.
https://www.youtube.com/watch?v=XfUpLolW6m0&feature=youtu.be&fbclid=IwAR0O408mudqxF7htJQPHzbEtgdgaRuOZ8s27bvHggZ3MBxdutlQMN63wvMk
It took place 09/06 at Columbia U. as part of "Papafest", a workshop in honor of Christos Papadimitriou.
https://www.youtube.com/watch?v=XfUpLolW6m0&feature=youtu.be&fbclid=IwAR0O408mudqxF7htJQPHzbEtgdgaRuOZ8s27bvHggZ3MBxdutlQMN63wvMk
YouTube
AI Panel: Collins, Jordan, LeCun, Malik, Shenker
AI Panel moderated by Jitendra Malik (UC Berkeley) Panelists: Michael Collins (Columbia), Yann LeCun (NYU), Michael Jordan (UC Berkeley), Scott Shenker (UC B...
Unsupervised Doodling and Painting with Improved SPIRAL
“Under the right circumstances, some aspects of human drawing can emerge from simulated embodiment, without the need for external supervision, imitation or social cues.”
https://learning-to-paint.github.io
pdf https://arxiv.org/abs/1910.01007
“Under the right circumstances, some aspects of human drawing can emerge from simulated embodiment, without the need for external supervision, imitation or social cues.”
https://learning-to-paint.github.io
pdf https://arxiv.org/abs/1910.01007
YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection
Wong et al.: https://arxiv.org/abs/1910.01271
#ArtificialIntelligence #DeepLearning #MachineLearning
Wong et al.: https://arxiv.org/abs/1910.01271
#ArtificialIntelligence #DeepLearning #MachineLearning
arXiv.org
YOLO Nano: a Highly Compact You Only Look Once Convolutional...
Object detection remains an active area of research in the field of computer vision, and considerable advances and successes has been achieved in this area through the design of deep convolutional...
A Neural Network for Detailed Human Depth Estimation from a Single Image. https://arxiv.org/abs/1910.01275
Linking artificial and human neural representations of language. https://arxiv.org/abs/1910.01244
arXiv.org
Linking artificial and human neural representations of language
What information from an act of sentence understanding is robustly
represented in the human brain? We investigate this question by comparing
sentence encoding models on a brain decoding task,...
represented in the human brain? We investigate this question by comparing
sentence encoding models on a brain decoding task,...
Cardiac Segmentation of LGE MRI with Noisy Labels. https://arxiv.org/abs/1910.01242
arXiv.org
Cardiac Segmentation of LGE MRI with Noisy Labels
In this work, we attempt the segmentation of cardiac structures in late
gadolinium-enhanced (LGE) magnetic resonance images (MRI) using only minimal
supervision in a two-step approach. In the...
gadolinium-enhanced (LGE) magnetic resonance images (MRI) using only minimal
supervision in a two-step approach. In the...
OpenVSLAM: A Versatile Visual SLAM Framework. https://arxiv.org/abs/1910.01122
arXiv.org
OpenVSLAM: A Versatile Visual SLAM Framework
In this paper, we introduce OpenVSLAM, a visual SLAM framework with high usability and extensibility. Visual SLAM systems are essential for AR devices, autonomous control of robots and drones,...
Unsupervised Pose Flow Learning for Pose Guided Synthesis
Zheng et al.: https://arxiv.org/abs/1909.13819
#ArtificialIntelligence #DeepLearning #MachineLearning https://t.iss.one/ArtificialIntelligenceArticles
Zheng et al.: https://arxiv.org/abs/1909.13819
#ArtificialIntelligence #DeepLearning #MachineLearning https://t.iss.one/ArtificialIntelligenceArticles
Awesome Machine Learning
A curated list of awesome machine learning frameworks, libraries and software (by language).
libraries: https://github.com/josephmisiti/awesome-machine-learning
books: https://github.com/josephmisiti/awesome-machine-learning/blob/master/books.md
A curated list of awesome machine learning frameworks, libraries and software (by language).
libraries: https://github.com/josephmisiti/awesome-machine-learning
books: https://github.com/josephmisiti/awesome-machine-learning/blob/master/books.md
GitHub
GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome Machine Learning frameworks, libraries and software. - josephmisiti/awesome-machine-learning