Presentation Files- ICRI-CI Retreat 5-6 May 2015

Day 1 – May 5, 2015

Opening Notes  
Architecture for Big Data & Machine Learning – Capstone overview Debbie Marr
Memory Traffic Reduction for Big Data & Machine Learning Uri Weiser
Accelerators for Big Data & Machine Learning Ran Ginosar
Machine Learning for Architecture – Context-based Prefetching using Reinforcement Learning Yoav Etsion
Memory Intensive Architecture Avinoam Kolodny
Deep Learning  
Distributed Deep Learning Library – Capstone overview Boris Ginsburg
Optimal Deep Learning and the Information Bottleneck Method Naftali Tishby
Compressed sensing and computed tomography with deep learning Michael Zibulevsky
Automatic Image Annotation using Deep Learning and Fisher Vectors Lior Wolf
SimNets: A Generalization of Convolutional Networks Amnon Shashua
Rigorous algorithms for distributed deep learning Shai Shalev Shwartz
Outlier robust distributed learning Shie Mannor

Day 2 – May 6, 2015

Conversational Understanding  
Conversational Speech Understanding – Capstone overview Moshe Wasserblat
Natural Language Knowledge Graphs Ido Dagan
Unsupervised Extraction of Relations and Events Ronen Feldman
Better Syntactic Parsing with Lexical-Semantic Features from Auto-parsed Data Yoav Goldberg
Hybrid Models for Minimally Supervised Natural Language Learning w/ App to Conversation Processing Roi Reichart
Saliency in visual data Ayellet Tal
Mental phenotyping with 3D cameras Daphna Weinshall
Blind Video: Video Without Photographers Shmuel Peleg
Learning Optical Flow Yair Weiss




Many thanks to the Photographer – Ohad Falik

004__20150505_7135__R 006__20150505_7138__R3