List of accepted #ICML2019 papers: https://icml.cc/Conferences/2019/AcceptedPapersInitial

#ArtificialIntelligence #Conference #MachineLearning

ICML | 2019
Thirty-sixth International Conference on Machine Learning

#ICML2019 tutorials have been announced.

Schedule here:
https://icml.cc/Conferences/2019/Schedule

#ArtificialIntelligence #DeepLearning #MachineLearning

#IntelAI Research has 6 paper acceptances at #ICML2019! Find full list of papers and more here: https://www.intel.ai/icml-2019/

The complete list of all 519 ICML-2019 papers with code. #icml2019 #AI #MachineLearning #ComputerVision #code

https://www.paperdigest.org/2019/05/icml-2019-papers-with-code/

Tutorial: "Meta-Learning: from Few-Shot Learning to Rapid Reinforcement Learning" https://sites.google.com/view/icml19metalearning #ICML2019 https://t.me/ArtificialIntelligenceArticles

Congratulations to the Best Papers at the ongoing #ICML2019
The Thirty-sixth International Conference on Machine Learning, Long Beach, USA

(1)Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations https://arxiv.org/pdf/1811.12359.pdf
Congratulations to the GoogleAI team of Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly,Bernhard Schölkopf, Olivier Bachem

(2)Rates of Convergence for Sparse Variational Gaussian Process Regression
https://arxiv.org/pdf/1903.03571.pdf
Kudos to David R. Burt, Carl E. Rasmussen, Mark van der Wilk of University of Cambridge

ICML is one of the premier machine learning conferences. VideoKen is proud to power deep indexing of the entire ICML 2019 video content. Catch up with all of the exciting tutorials here:

https://search.videoken.com/?orgId=133


#MachineLearning #AI #DeepLearning #AIplayer #ICML2019

What is the fuss about TensorFuzz?
It is the fun automated software “testing” for neural networks,
adapting traditional coverage guided fuzzing techniques.
Run #TensorFuzz to take your test coverage to levels other methods cannot reach (e.g. activation coverage, not just class coverage)

Great work by Augustus Odena and @Ian Goodfellow
Join the #ICML2019 talk at 9:40am today. Grand Ballroom

Read at https://arxiv.org/pdf/1807.10875.pdf
Code: https://github.com/brain-research/tensorfuzz

Integrate logic and deep learning with #SATNet, a differentiable SAT solver! #icml2019

Paper: https://arxiv.org/abs/1905.12149
Code: https://github.com/locuslab/SATNet

Best paper award at #ICML2019 main idea: unsupervised learning of disentangled representations is fundamentally
impossible without inductive biases. Verified theoretically & experimentally. https://arxiv.org/pdf/1811.12359.pdf

Best Paper Award at the AI for social good Workshop at #ICML2019 https://medium.com/@jasonphang/deep-neural-networks-improve-radiologists-performance-in-breast-cancer-screening-565eb2bd3c9f

[code] https://github.com/nyukat/breast_cancer_classifier
[preprint] https://arxiv.org/pdf/1903.08297.pdf
[data specs] https://cs.nyu.edu/~kgeras/reports/datav1.0.pdf
[ICML '19] https://aiforsocialgood.github.io/icml2019/acceptedpapers.htm

Theoretical Physics for Deep Learning workshop at #ICML2019

Slides and videos: https://sites.google.com/view/icml2019phys4dl/schedule?authuser=0

#Physics #DeepLearning