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5 days ago · Shot at Ft. Lauderdale Fashion Week, on a loop so you can see your favorite parts.Shot originally 4K/60/10 Bit/n-raw/ Nikon Z9, this video is easier on your ...
As a Principal Scientist at DeepMind, Karén built and led the Large Scale Deep Learning team developing large AI models of real-world data. Karén played a key role in such AI breakthroughs as AlphaZero, AlphaFold, WaveNet, BigGAN, and Flamingo, to name a few.
May 18, 2015 · ICLR 2015 Talk: "Very Deep Convolutional Networks for Large-Scale Image Recognition" by Karen Simonyan, Andrew Zisserman (Oxford and Google DeepMind)
- 19 min
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- ICLR
The company was founded by entrepreneurs Reid Hoffman, Mustafa Suleyman and Karén Simonyan in 2022. The company has collaborated with Nvidia to develop hardware for generative artificial intelligence. In June 2023, the company raised $1.3 billion USD at $4 billion valuation.
- Overview
- Results
- Models
- Acknowledgements
Convolutional networks (ConvNets) currently set the state of the art in visual recognition. The aim of this project is to investigate how the ConvNet depth affects their accuracy in the large-scale image recognition setting. Our main contribution is a rigorous evaluation of networks of increasing depth, which shows that a significant improvement on...
ImageNet Challenge The very deep ConvNets were the basis of our ImageNet ILSVRC-2014 submission, where our team (VGG) secured the first and the second places in the localisation and classificationtasks respectively. After the competition, we further improved our models, which has lead to the following ImageNet classification results: Generalisation...
We release our two best-performing models, with 16 and 19 weight layers (denoted as configurations D and E in the publication). The models are released under Creative Commons Attribution License. Please cite our technical report if you use the models. The models are compatible with the Caffe toolbox. They are available in the Caffe format from the ...
This work was supported by ERC grant VisRec no. 228180. We gratefully acknowledge the support of NVIDIA Corporation with the donation of the GPUs used for this research.
Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition. M. Jaderberg, K. Simonyan, A. Vedaldi, A. Zisserman. NIPS 2014 Workshop on Deep Learning and Representation Learning. [arXiv ( updated 9 Dec 2014 )] [Project page, Demo & ConvNet models] [Dataset]
Karen Simonyan. Building models that can be rapidly adapted to numerous tasks using only a handful of annotated examples is an open challenge for multimodal machine learning research. We...
