29:07

Multi Satellite Tracking of dynamic objects - Natalie Fridman

31:57

Video Indexer – Unlocking Video Insights with Machine Learning - Oron Nir

29:00

AI, Privacy and data protection - Yoram Hacohen

31:42

Artificial Intelligence: A Clear and Present Danger to our Privacy? - Eran Toch

24:46

Beyond the point estimate: Uncertainty in neural networks for recommendations-Dr Stavros Theodoraki

29:13

Machine Learning at Google Scale - Prof. Yoram Zinger

32:42

Towards Smart Transportation - Daniel Marcous

28:02

Massive Online Analytics for the Internet of Things – Prof. Albert Bifet

29:15

Anomaly based time series forecasting - Ira Cohen

29:18

Modeling Human Mobility Behavior-Patterns - Prof. Irad Ben-Gal

31:17

100 Machine Learning Models running live: The Booking.com approach - Lucas Bernardi

17:14

Personalized Music Playlist Generation for Microsoft Groove - Shay Ben-Elazar

30:27

Research track keynote: Predicting Antibiotics Resistance - Roy Kishony

16:29

Opening the Black Box of Deep Neural Networks via Information - Ravid Ziv

13:37

Distance-based Confidence Score for Neural Network Classifiers - Amit Mandelbaum

12:40

DeepISP Learning End to End Image Processing Pipeline - Eli Schwartz

13:25

Fine-grained recognition of thousands of object categories with single-example training

30:38

Research panel

14:23

Combining Multiple Decision Trees using a Similarity Approach - Abraham Weinberg

12:07

Care to Share Learning to Rank Personal Photosfor Public Sharing - Alexander Nus

15:08

Neural Response Generation for Customer Service based on Personality Traits

23:50

Research track keynote: When Deep Neural Nets Fail - Prof. Yoav Goldberg

27:31

Large scale frequent pattern mining with Apache Spark - Yacov Salomon

18:43

Probabilistic attribute grouping for zero shot learning - Yuval Atzmon

26:58

Actionable Machine Learning, theory and practice - Meir Maor

16:33

Curiosity in data science - MIchal Moran

29:03

Video Indexer harnessing machine learning for fighting cyber criminals - Shai Yanovski

24:52

Anomaly Detection using Neural Networks - Dean Langsam

27:14

Embed, encode, attend, predict - Dr. Matthew Honnibal

29:09

Real life aspects of opinion sentiment analysis within customer reviews - Dr. Jonathan Yaniv

28:59

Handling Imperfectly Labeled Data - Ofri Raviv

21:27

Accelerating Machine Intelligence - Phil Brown

20:45

Keynote by Prof. Ion Stoica (UC Berkeley)

20:27

Keynote by Prof. Shai Shalev-Shwartz (Hebrew University & Mobileye)

20:55

Virtual Keynote by Prof. Matei Zaharia (Stanford)

24:35

Azure Kusto in service of cyber threat hunting - Meni Braun, Tomer Alpert, Uri Barash

30:16

Deep Learning Methods for Emotion Detection from Text - Dr. Liron Allerhand

26:07

Real-time deep learning on video streams - Eran Avidan

31:19

Conquering Slow, Dirty and Distributed Data with Apache Arrow and Dremio - Tomer Shiran

30:49

Spark NLP in Action: Learning to read Life Science research - Saif Addin Ellafi

26:40

Rapid NLP annotation - Dr. Matthew Honnibal

29:53

Learned Index Structure - Prof. Tim Kraska

29:36

MUNET: Multi Task Unified Network for On Device Autonomous Driving - Eli Brosh

19:26

Personalized SW/HW validation using Reinforcement-Learning - Anat Shrot

22:43

The future of voice based interfaces - Yishay Carmiel

25:47

Securing deep learning models against reverse engineering attack - Lior Sidi

30:47

End to End Deep Learning for Detection, Prevention, and Classification of Cyber Attacks - Eli David

30:05

Architectures for big scale 2D imagery - Zbigniew Wojna

27:58

Today’s File Security is so 80s - Shiri Margel

29:34

A Novel Method for Speaker Recognition without Active Enrollment - Ran Mochary

20:49

Finding the right Community - Ohad Raviv

22:29

Bridging the gap between data store and analytics - David Ostrovsky

20:48

Deep Hierarchical Reinforcement Learning Made Fast and Easy with Ray - Dr. Roy Fox

25:07

Crowd Mining a framework for mining the knowledge of web users - Dr. Yael Amsterdamer

22:48

Monetizing Recommendations How Models Must Adapt - Dr. Ronny Lempel

21:35

A Deeper Understanding of Deep Learning - Prof. Naftali Tishby

19:35

Recommendation Engine for wide transactions - Bargava Subramanian V

21:34

CryptoNets Applying Neural Networks to Encrypted Data - Dr. Ran Gilad Bachrach

18:58

Accelerating Innovation Through Analogy Mining - Dr. Dafna Shahaf

24:04

Deep Learning Approach to Content Recommendation and It's Real World Challenges - Gil Chamiel