Geoffrey Hinton: What is wrong with convolutional neural nets?
https://youtube.com/watch?v=Jv1VDdI4vy4
#geoffreyhinton
https://youtube.com/watch?v=Jv1VDdI4vy4
#geoffreyhinton
YouTube
Geoffrey Hinton: What is wrong with convolutional neural nets?
Geoffrey Hinton, Professor of Computer Science at the University of Toronto and a member of the Google Brain team, presents "What is wrong with convolutional neural nets?" at the Fields Institute. Special thanks to the Vector Institute for organizing the…
Selective Brain Damage: Measuring the Disparate Impact of Model Compression
Sara Hooker, Aaron Courville, Yann Dauphin, Andrea Frome: https://weightpruningdamage.github.io
#ArtificialIntelligence #DeepLearning #NeuralNetworks
Sara Hooker, Aaron Courville, Yann Dauphin, Andrea Frome: https://weightpruningdamage.github.io
#ArtificialIntelligence #DeepLearning #NeuralNetworks
Deep Neural Network Pruning
Selective Brain Damage
What do pruned deep neural networks forget?
Connecting Vision and Language with Localized Narratives
Pont-Tuset et al.: https://arxiv.org/abs/1912.03098
#ArtificialIntelligence #DeepLearning #MachineLearning
Pont-Tuset et al.: https://arxiv.org/abs/1912.03098
#ArtificialIntelligence #DeepLearning #MachineLearning
3DPeople: Modeling the Geometry of Dressed Humans
Pumarola et al.: https://cv.iri.upc-csic.es
#ArtificialIntelligence #Dataset #DeepLearning
Pumarola et al.: https://cv.iri.upc-csic.es
#ArtificialIntelligence #Dataset #DeepLearning
cv.iri.upc-csic.es
3DPeople Dataset
Advbox: a toolbox to generate adversarial examples that fool neural networks
Goodman et al.: https://arxiv.org/abs/2001.05574
GitHub: https://github.com/advboxes/AdvBox
#MachineLearning #Cryptography #Security
Goodman et al.: https://arxiv.org/abs/2001.05574
GitHub: https://github.com/advboxes/AdvBox
#MachineLearning #Cryptography #Security
GitHub
GitHub - advboxes/AdvBox: Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTor…
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning mode...
On the Morality of Artificial Intelligence
Alexandra Luccioni, Yoshua Bengio : https://arxiv.org/abs/1912.11945
#Society #AIEthics #ArtificialIntelligence
Alexandra Luccioni, Yoshua Bengio : https://arxiv.org/abs/1912.11945
#Society #AIEthics #ArtificialIntelligence
UKRI Centre for Doctoral Training in Artificial Intelligence and Music (AIM)
https://www.aim.qmul.ac.uk/apply/
https://www.aim.qmul.ac.uk/apply/
2019 in Review: 10 AI Papers That Made an Impact
https://medium.com/syncedreview/2019-in-review-10-ai-papers-that-made-an-impact-6f607c9c6035
https://medium.com/syncedreview/2019-in-review-10-ai-papers-that-made-an-impact-6f607c9c6035
Medium
2019 in Review: 10 AI Papers That Made an Impact
Synced spotlights 10 artificial intelligence papers that garnered extraordinary attention and accolades in 2019.
Yoshua Bengio is currently recruiting a postdoc for his project on visualizing the impacts of climate change at Mila, Montreal.
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 postdoc application form (https://docs.google.com/forms/d/1pIfuSBORzKRLBEG8zIdJoEwwlsfvvKi2D2ENFPcbX5c) mentioning "VICC" and specifying your interest for this project in the application.
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 postdoc application form (https://docs.google.com/forms/d/1pIfuSBORzKRLBEG8zIdJoEwwlsfvvKi2D2ENFPcbX5c) mentioning "VICC" and specifying your interest for this project in the application.
Latest from Stanford, Adobe and IIT researchers: State of the art in Virtual Try on!
[https://www.profillic.com/paper/arxiv:2001.06265](https://www.profillic.com/paper/arxiv:2001.06265)
(An efficient framework for this is composed of 2 stages: (1) warping (transforming) the try-on cloth to align with the pose and shape of the target model, and (2) a texture transfer)
[https://www.profillic.com/paper/arxiv:2001.06265](https://www.profillic.com/paper/arxiv:2001.06265)
(An efficient framework for this is composed of 2 stages: (1) warping (transforming) the try-on cloth to align with the pose and shape of the target model, and (2) a texture transfer)
Profillic
SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On: Model and Code
Click To Get Model/Code. Image-based virtual try-on for fashion has gained considerable attention recently. The task requires trying on a clothing item on a target model image. An efficient framework for this is composed of two stages: (1) warping (transforming)…
RobBERT: a Dutch RoBERTa-based Language Model
Paper: https://arxiv.org/pdf/2001.06286.pdf
Github: https://github.com/iPieter/RobBERT
Web: https://people.cs.kuleuven.be/~pieter.delobelle/robbert/
Paper: https://arxiv.org/pdf/2001.06286.pdf
Github: https://github.com/iPieter/RobBERT
Web: https://people.cs.kuleuven.be/~pieter.delobelle/robbert/
GitHub
GitHub - iPieter/RobBERT: A Dutch RoBERTa-based language model
A Dutch RoBERTa-based language model. Contribute to iPieter/RobBERT development by creating an account on GitHub.
Deep Learning Drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
GitHub by Marimuthu Kalimuthu: https://github.com/kmario23/deep-learning-drizzle
Webpage: https://deep-learning-drizzle.github.io
#artificialintelligence #deeplearning #machinelearning #reinforcementlearning
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
GitHub by Marimuthu Kalimuthu: https://github.com/kmario23/deep-learning-drizzle
Webpage: https://deep-learning-drizzle.github.io
#artificialintelligence #deeplearning #machinelearning #reinforcementlearning
GitHub
GitHub - kmario23/deep-learning-drizzle: Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision…
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!! - kmario23/deep-learning-drizzle
https://hscnews.usc.edu/new-ai-algorithm-may-lead-to-safer-and-more-efficient-treatment-of-stroke/
Clinicians need to act quickly to administer effective treatment when a patient has an acute ischemic stroke - the most common type - which occurs when a clot blocks blood flow through an artery in the brain. Often, this involves conducting a brain scan to map the damage caused by the stroke - either using magnetic resonance imaging (MRI) or computed tomography (CT).
But these scans expose patients to chemical contrast agents, which can be problematic. Some contain high doses of radiation, while others can be dangerous for patients with kidney or vascular problems.
Clinicians need to act quickly to administer effective treatment when a patient has an acute ischemic stroke - the most common type - which occurs when a clot blocks blood flow through an artery in the brain. Often, this involves conducting a brain scan to map the damage caused by the stroke - either using magnetic resonance imaging (MRI) or computed tomography (CT).
But these scans expose patients to chemical contrast agents, which can be problematic. Some contain high doses of radiation, while others can be dangerous for patients with kidney or vascular problems.
CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data
Wenzek et al.: https://arxiv.org/abs/1911.00359
GitHub: https://github.com/facebookresearch/cc_net
#ArtificialIntelligence #Datasets #MachineLearning
Wenzek et al.: https://arxiv.org/abs/1911.00359
GitHub: https://github.com/facebookresearch/cc_net
#ArtificialIntelligence #Datasets #MachineLearning
GitHub
GitHub - facebookresearch/cc_net: Tools to download and cleanup Common Crawl data
Tools to download and cleanup Common Crawl data. Contribute to facebookresearch/cc_net development by creating an account on GitHub.
Came across this tool that lets you convert images to LaTeX
It works by taking a screenshot of maths and pasting the LaTeX into an editor with a keyboard shortcut
https://mathpix.com/
It works by taking a screenshot of maths and pasting the LaTeX into an editor with a keyboard shortcut
https://mathpix.com/
Mathpix
Mathpix: document conversion done right.
Convert images and PDFs to LaTeX, DOCX, Overleaf, Markdown, Excel, ChemDraw and more, with our AI-powered document conversion technology.