What's the verdict on Tensorflow Federated (TFF)? Anyone have a chance to use this on distributed data sets yet?
https://medium.com/tensorflow/introducing-tensorflow-federated-a4147aa20041
https://medium.com/tensorflow/introducing-tensorflow-federated-a4147aa20041
Medium
Introducing TensorFlow Federated
Posted by Alex Ingerman (Product Manager) and Krzys Ostrowski (Research Scientist)
Universal Transformers
Blog by Mostafa Dehghani : https://mostafadehghani.com/2019/05/05/universal-transformers/
#artificialintelligence #deeplearning #technology
Blog by Mostafa Dehghani : https://mostafadehghani.com/2019/05/05/universal-transformers/
#artificialintelligence #deeplearning #technology
Mostafa Dehghani
Universal Transformers: The Infinite Use of Finite Means!
Thanks to Stephan Gouws for his help on writing and improving this blog post.
Transformers have recently become a competitive alternative to RNNs for a range of sequence modeling tasks. They address a significant shortcoming of RNNs, i.e. their inherently…
Transformers have recently become a competitive alternative to RNNs for a range of sequence modeling tasks. They address a significant shortcoming of RNNs, i.e. their inherently…
"Deep Generative Models for Graphs: Methods & Applications"
Slides by Jure Leskovec :
https://i.stanford.edu/~jure/pub/talks2/graph_gen-iclr-may19-long.pdf
#artificialintelligence #deeplearning #machinelearning #ICLR2019
Slides by Jure Leskovec :
https://i.stanford.edu/~jure/pub/talks2/graph_gen-iclr-may19-long.pdf
#artificialintelligence #deeplearning #machinelearning #ICLR2019
BREAKING: MIT's new AI predicts breast cancer equally well for white & black women.
The model can look at a mammogram (left) & predict cancer (right) up to 5 years in advance. https://www.csail.mit.edu/news/using-ai-predict-breast-cancer-and-personalize-care
The model can look at a mammogram (left) & predict cancer (right) up to 5 years in advance. https://www.csail.mit.edu/news/using-ai-predict-breast-cancer-and-personalize-care
Videos of all sessions at ICLR 2019 (including live stream)
https://www.facebook.com/pg/iclr.cc/videos/?ref=page_internal
https://www.facebook.com/pg/iclr.cc/videos/?ref=page_internal
Facebook
ICLR
ICLR. 8,850 likes · 8 talking about this. International Conference on Learning Representations.
A forum for news and discussions about ICLR, deep learning and related topics.
A forum for news and discussions about ICLR, deep learning and related topics.
MAESTRO: awesome new dataset from Google Magenta of piano performance with audio and corresponding MIDI collected from Yamaha Disklaviers.
Nice presentation at ICLR on "wav2midi2wav" using this dataset:
"Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset" by Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse Engel, Douglas Eck
https://openreview.net/forum?id=r1lYRjC9F7
https://magenta.tensorflow.org/datasets/maestro
Nice presentation at ICLR on "wav2midi2wav" using this dataset:
"Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset" by Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse Engel, Douglas Eck
https://openreview.net/forum?id=r1lYRjC9F7
https://magenta.tensorflow.org/datasets/maestro
OpenReview
Enabling Factorized Piano Music Modeling and Generation with the...
We train a suite of models capable of transcribing, composing, and synthesizing audio waveforms with coherent musical structure, enabled by the new MAESTRO dataset.
#RP Mariya Toneva, Excited to present our work on understanding catastrophic example forgetting at ICLR on Wednesday from 11-1pm! Poster #44. Joint work with Alessandro Sordoni, Remi Tachet, Adam Trischler, Yoshua Bengio, and Geoff Gordon
Paper: https://bit.ly/2H8yQUg
Code: https://bit.ly/2vMH6mw
#ICLR #ICLR2019 #MachineLearning
Paper: https://bit.ly/2H8yQUg
Code: https://bit.ly/2vMH6mw
#ICLR #ICLR2019 #MachineLearning
GitHub
mtoneva/example_forgetting
Contribute to mtoneva/example_forgetting development by creating an account on GitHub.
https://www.humanbrainproject.eu/en/silicon-brains/how-we-work/hardware/
EU Human Brain Project (HBP) aimed at understanding cognition and human brain, budget €1 billion for 2013-2023, 100 universities, 500 scientists.
EU Human Brain Project (HBP) aimed at understanding cognition and human brain, budget €1 billion for 2013-2023, 100 universities, 500 scientists.
Exponential Family Estimation via Adversarial Dynamics Embedding
Dai et al.: https://arxiv.org/abs/1904.12083
#ArtificialIntelligence #DeepLearning #MachineLearning
Dai et al.: https://arxiv.org/abs/1904.12083
#ArtificialIntelligence #DeepLearning #MachineLearning
Digging Into Self-Supervised Monocular Depth Estimation
Godard et al.: https://arxiv.org/abs/1806.01260
GitHub: https://github.com/nianticlabs/monodepth2
#ArtificialIntelligence #DeepLearning #MachineLearning
Godard et al.: https://arxiv.org/abs/1806.01260
GitHub: https://github.com/nianticlabs/monodepth2
#ArtificialIntelligence #DeepLearning #MachineLearning
arXiv.org
Digging Into Self-Supervised Monocular Depth Estimation
Per-pixel ground-truth depth data is challenging to acquire at scale. To overcome this limitation, self-supervised learning has emerged as a promising alternative for training models to perform...
Music Translation
"A Universal Music Translation Network", Mor et al.: https://arxiv.org/abs/1805.07848
PyTorch implementation: https://github.com/facebookresearch/music-translation
#artificialintelligence #machinelearning #pytorch #music
"A Universal Music Translation Network", Mor et al.: https://arxiv.org/abs/1805.07848
PyTorch implementation: https://github.com/facebookresearch/music-translation
#artificialintelligence #machinelearning #pytorch #music
arXiv.org
A Universal Music Translation Network
We present a method for translating music across musical instruments, genres, and styles. This method is based on a multi-domain wavenet autoencoder, with a shared encoder and a disentangled...
Open-sourcing Ax and BoTorch: New AI tools for adaptive experimentation
Written by Eytan Bakshy, Max Balandat, Kostya Kashin: https://ai.facebook.com/blog/open-sourcing-ax-and-botorch-new-ai-tools-for-adaptive-experimentation/
#ArtificialIntelligence #DeepLearning #MachineLearning #PyTorch
Written by Eytan Bakshy, Max Balandat, Kostya Kashin: https://ai.facebook.com/blog/open-sourcing-ax-and-botorch-new-ai-tools-for-adaptive-experimentation/
#ArtificialIntelligence #DeepLearning #MachineLearning #PyTorch
Facebook
Open-sourcing new AI tools for adaptive experimentation
We are open-sourcing BoTorch and Ax, two new tools that leverage adaptive experimentation to efficiently tackle optimization challenges in tuning software configurations, machine learning hyperparameters, ranking systems, and more.
Searching for MobileNetV3
Howard et al.: https://arxiv.org/abs/1905.02244
#ArtificialIntelligence #DeepLearning #MachineLearning
Howard et al.: https://arxiv.org/abs/1905.02244
#ArtificialIntelligence #DeepLearning #MachineLearning
arXiv.org
Searching for MobileNetV3
We present the next generation of MobileNets based on a combination of complementary search techniques as well as a novel architecture design. MobileNetV3 is tuned to mobile phone CPUs through a...
Deep Learning course: lecture slides and lab notebooks
Built and maintained by Olivier Grisel and Charles Ollion: https://m2dsupsdlclass.github.io/lectures-labs/
#ArtificialIntelligence #DeepLearning #GenerativeAdversarialNetworks #MachineLearning
Built and maintained by Olivier Grisel and Charles Ollion: https://m2dsupsdlclass.github.io/lectures-labs/
#ArtificialIntelligence #DeepLearning #GenerativeAdversarialNetworks #MachineLearning