Slonim, Noam

13 publications

AAAI 2023 nBIIG: A Neural BI Insights Generation System for Table Reporting Yotam Perlitz, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer

AAAI 2022 Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis Liat Ein-Dor, Ilya Shnayderman, Artem Spector, Lena Dankin, Ranit Aharonov, Noam Slonim

AAAI 2020 A Large-Scale Dataset for Argument Quality Ranking: Construction and Analysis Shai Gretz, Roni Friedman, Edo Cohen-Karlik, Assaf Toledo, Dan Lahav, Ranit Aharonov, Noam Slonim

AAAI 2020 Corpus Wide Argument Mining - A Working Solution Liat Ein-Dor, Eyal Shnarch, Lena Dankin, Alon Halfon, Benjamin Sznajder, Ariel Gera, Carlos Alzate, Martin Gleize, Leshem Choshen, Yufang Hou, Yonatan Bilu, Ranit Aharonov, Noam Slonim

IJCAI 2013 Hartigan's K-Means Versus Lloyd's K-Means - Is It Time for a Change? Noam Slonim, Ehud Aharoni, Koby Crammer

IJCAI 2011 Active Online Classification via Information Maximization Noam Slonim, Elad Yom-Tov, Koby Crammer

NeurIPS 2006 Information Bottleneck for Non Co-Occurrence Data Yevgeny Seldin, Noam Slonim, Naftali Tishby

ICML 2002 Discriminative Feature Selection via Multiclass Variable Memory Markov Model Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tishby

NeurIPS 2002 Maximum Likelihood and the Information Bottleneck Noam Slonim, Yair Weiss

NeurIPS 2001 Agglomerative Multivariate Information Bottleneck Noam Slonim, Nir Friedman, Naftali Tishby

UAI 2001 Multivariate Information Bottleneck Nir Friedman, Ori Mosenzon, Noam Slonim, Naftali Tishby

NeurIPS 2000 Data Clustering by Markovian Relaxation and the Information Bottleneck Method Naftali Tishby, Noam Slonim

NeurIPS 1999 Agglomerative Information Bottleneck Noam Slonim, Naftali Tishby