January 30-31, 2017
EPFL, Switzerland

Applied Machine Learning Days

Two days of talks and tutorials on Machine Learning and Artificial Intelligence.

Image credit: https://flic.kr/p/9QGUEm

Program

Monday 30-01-2017

07:00

Registration & Welcome Coffee

08:00

Welcome notes

Zhenyu Xu, Sophia Genetics: "Standardising NGS-based clinical routine diagnostics"

Pete Warden, Google: "TensorFlow for Poets"

Pete Warden     
09:30

Coffee Break

10:00

Claudiu Musat, Swisscom: "Natural Language Processing in the Enterprise"

Nadejda Lupolova, University Edinburgh: "Machine learning applied to microbial genomics: from prediction of infection potential to targeted treatment of bacterial disease"

Bob West, EPFL: "Growing Wikipedia Across Languages via Recommendation"

Claudiu Musat     
Bob West     
11:30

Lunch Break

12:30

Jürgen Schmidhuber, IDSIA: "True Artificial Intelligence will Change Everything"

Pierre Vandergheynst, EPFL: "Signal Processing in the Age of Data"

Marloes Maathuis, ETH: "Estimating causal effects from observational data"

Marloes Maathuis     
14:00

Coffee Break

14:30

CrowdAI winner's symposium:
Marcel Salathé, EPFL: "What is CrowdAI?"
André Panisson: "Lessons Learned from the PlantVillage Disease Classification Challenge"
Sasank Chilamkurthy: "Leaf disease classification using resnet"
Nguyen Minh Hieu: "Transfer Learning for Classification of Nighttime Images"
Preetham Sreenivas: "Classification of night time images with resnet"

Armand Joulin, Facebook: "Large scale machine learning for text understanding and computer vision"

Armand Joulin     
CrowdAI Winner's Symposium   
16:00

Poster Session

18:00

Networking Event & Dinner @ Casino de Montbenon, Lausanne (map )

Tuesday 31-01-2017

07:30

Coffee

08:00

Nuria Oliver, Vodafone & Data-Pop Alliance: "Towards Human Behavior Modeling from Mobile Data"

Emmanuel Mogenet, Google Research Europe: "Computer Perception, Natural Language & Deep Learning: bringing it all together to solve Common Sense"

Emmanuel Mogenet   
Nuria Oliver   
09:30

Coffee Break

10:00

Martin Jaggi, EPFL: "Distributed Machine Learning and Text Classification"

Panel on AI & Society with:
Ed Bugnion, VP EPFL
Emmanuel Mogenet, Google
Nuria Oliver, Vodafone & Data-Pop Alliance
Marcel Salathé, EPFL

Martin Jaggi     
Panel on AI & Society   
11:30

Lunch Break

12:30

Anima Anandkumar, Amazon: "Distributed Deep Learning on AWS using MXNet"

Rapid-fire talks

Anima Anandkumar     
Rapid Fire Talks   
12:30

Job Fair
ADA Poster Session

14:00

Coffee Break

14:30

Volkan Cevher, EPFL, "Learning-based compression for neural signals (and MRI too!)"

Boi Faltings, EPFL, "Big data vs. the right data"

Francois Fleuret, IDIAP, "Semi-supervised learning of deep metrics for stereo reconstruction"

François Fleuret     
Volkan Cevher     
Boi Faltings     


Venue

SwissTech Convention Center
Quartier Nord de l'EPFL
Route Louis-Favre 2
CH 1014
Ecublens, Switzerland

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