1. No category

Start
Duration
End
Day 1, Tuesday, 5-May-2015
9:00
0:30
9:30
Session
Speaker
Opening
Ronny + Shalom
9:30
2:40
12:10
Architecture
Debbie Marr
Uri Weiser
Ran Ginosar
Title/Chair
Shalom Goldenberg
Opening Notes
Debbie Marr
Architecture for Big Data & Machine Learning - Capstone overview
Memory Traffic Reduction for Big Data & Machine Learning
Accelerators for Big Data & Machine Learning
Break
Yoav Etsion
Avinoam Kolodny
12:10
0:25
12:35
12:35
14:30
1:55
3:30
14:30
18:00
Visual-I
Ayellet Tal
Lunch + Posters
Deep Learning
Boris Ginsburg
Naftali Tishby
Michael Zibulevsky
Lior Wolf
Break
Amnon Shashua
Shai Shalev Shwartz
Shie Mannor
Reception + Posters
18:00
1:00
19:00
Day 2, Wednesday, 6-May-2015
9:00
2:40
11:40
Conversational Understanding
Moshe Wasserblat
Ido Dagan
Ronen Feldman
Yoav Goldberg
Break
Roi Reichart
11:40
13:00
1:20
13:00
Visual-II
Ronny Ronen
Daphna Weinshall
Shmuel Peleg
Yair Weiss
Adjourn + Lunch
Machine Learning for Architecture - Context-based Prefetching using Reinforcement Learning
Memory Intensive Architecture
Ronny Ronen
Saliency in visual data
Boris Ginsburg
Distributed Deep Learning Library - Capstone overview
Optimal Deep Learning and the Information Bottleneck Method
Compressed sensing and computed tomography with deep learning
Automatic Image Annotation using Deep Learning and Fisher Vectors
Deep Layered SimNets
Rigorous algorithms for distributed deep learning
Outlier robust distributed learning
Moshe Wasserblat
Conversational Speech Understanding - Capstone overview
Natural Language Knowledge Graphs
An Unsupervised Framework for Information Extraction
Better Syntactic Parsing with Lexical-Semantic Features from Auto-parsed Data
Hybrid Models for Minimally Supervised Natural Language Learning With Applications to
Conversation Processing
Ronny Ronen
Visual & Imaging - overview
Mental phenotyping with 3D cameras
Blind Video: Video Without Photographers
Learning Optical Flow