1 |
|
Haviv Hakimi Shunit |
2021 |
MSc |
Abstracts
|
Deep Neural Models for Jazz Improvisations |
2 |
|
Rozenberg Shai |
2020 |
MSc |
Abstracts
|
Improved Detection of Adversarial Attacks via Penetration Distortion Maximization |
3 |
|
Bhonker Nadav |
2020 |
MSc |
Abstracts
|
Neural Models for Personalized Jazz Improvisations |
4 |
|
Abutbul Amram |
2020 |
MSc |
Abstracts
|
Deep Neural Network Architecture for Tabular Data |
5 |
|
Feldman Yair |
2020 |
MSc |
Abstracts
|
Multi-Hop Paragraph Retrieval for Open-Domain Question Answering |
6 |
|
Uziel Guy |
2020 |
PhD |
Abstracts
|
Leveraging Mechine Learning Algorithms in Online Portfolio Selection |
7 |
|
Golan Izhak |
2019 |
MSc |
Abstracts
|
Deep Anomaly Detection using Geometric Transformations |
8 |
|
Cohen Amir |
2019 |
MSc |
Abstracts
|
Bayesian Algorithms for Vision Acuity Exams |
9 |
|
Geifman Yonatan |
2019 |
PhD |
Abstracts
|
Uncertainty Estimation and its Applications in Deep Neural Networks |
10 |
|
Gross Amit |
2018 |
MSc |
Abstracts
|
Usages of Selective Regression |
11 |
|
Gelbhart Roei |
2018 |
MSc |
Abstracts
|
The Relationship Between Agnostic Selective Classification Active Learning and the Disagreement Coefficient |
12 |
|
Hubara Itay |
2017 |
MSc |
Abstracts
|
Compressing Neural Networks Using Binary Representation |
13 |
|
Hilleli Bar |
2017 |
MSc |
Abstracts
|
Autonomous Steering without a Simulator using Deep Supervised and Reinforcement Learning |
14 |
|
Segev Noam |
2016 |
MSc |
Abstracts
|
Transfer Learning using Decision Forests |
15 |
|
Pidan Dmitry |
2013 |
MSc |
Abstracts
|
Selective Prediction with Hidden Markov Models |
16 |
|
Begleiter Ron |
2013 |
PhD |
Abstracts
|
Theory and Practice of Active Learning |
17 |
|
Wiener Yair |
2013 |
PhD |
Abstracts
|
Theoretical Foundations of Selective Prediction |
18 |
|
Faynburd Alexandra |
2012 |
MSc |
Abstracts
|
Autoregressive Short-Term Prediction of Turning Points Using Support Vector Regression |
19 |
|
Yanay David |
2011 |
MSc |
Abstracts
|
Supervised Learning of Semantic Relatedness |
20 |
|
Nisenson Mordechai |
2010 |
MSc |
Abstracts
|
On the Foundations of Adversarial Single-Class Classification |
21 |
|
Pechyony Dmitry |
2009 |
PhD |
Abstracts
|
Theory and Practice of Transductive Learning |
22 |
|
Gerzon Leonid |
2006 |
MSc |
Abstracts
|
Effective Transductive Learning via Objective Model Selection |
23 |
|
Sharon Itai |
2006 |
MSc |
Abstracts
|
Similarity Detection for Low Complexity and Remotely Related Proteins |
24 |
|
Begleiter Ron |
2005 |
MSc |
Abstracts
|
Can Theory Meet Practice in Sequence Prediction? |
25 |
|
Luz Kobi |
2004 |
MSc |
Abstracts
|
Online Choice of Active Learning Algorithms |
26 |
|
Derbeko Philip |
2004 |
MSc |
Abstracts
|
Explicit Learning Curves for Transduction and Application to Clustering and Compression Algorithms |
27 |
|
Souroujon Oren |
2004 |
MSc |
Abstracts
|
Iterative Double Clustering: An Information-Theoretic Algorithm for Clustering Textual Data |
28 |
|
Bekkerman Ron |
2003 |
MSc |
Abstracts
|
Distributional Clustering of Words for Text Categorization |
29 |
|
Nevo Ziv |
2002 |
MSc |
|
On Online Learning of Decision Lists |
30 |
|
Yaroshinsky Ran |
2002 |
MSc |
|
Smooth Online Learning of Expert Advice |
31 |
|
Shakhnarovich Gregory |
2001 |
MSc |
|
Statistical Data Cloning for Machine Learning |