Noam Slonim

According to our database, Noam Slonim authored at least 96 papers between 1998 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Efficient Benchmarking (of Language Models).

Yotam Perlitz, Elron Bandel, Ariel Gera, Ofir Arviv, Liat Ein-Dor, Eyal Shnarch, Noam Slonim, Michal Shmueli-Scheuer, Leshem Choshen

CoRR, 2023

Active Learning for Natural Language Generation.

Yotam Perlitz, Ariel Gera, Michal Shmueli-Scheuer, Dafna Sheinwald, Noam Slonim, Liat Ein-Dor

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Knowledge is a Region in Weight Space for Fine-tuned Language Models.

Almog Gueta, Elad Venezian, Colin Raffel, Noam Slonim, Yoav Katz, Leshem Choshen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Zero-shot Topical Text Classification with LLMs - an Experimental Study.

Shai Gretz, Alon Halfon, Ilya Shnayderman, Orith Toledo-Ronen, Artem Spector, Lena Dankin, Yannis Katsis, Ofir Arviv, Yoav Katz, Noam Slonim, Liat Ein-Dor

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Welcome to the Real World: Efficient, Incremental and Scalable Key Point Analysis.

Lilach Eden, Yoav Kantor, Matan Orbach, Yoav Katz, Noam Slonim, Roy Bar-Haim

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Where to start? Analyzing the potential value of intermediate models.

Leshem Choshen, Elad Venezian, Shachar Don-Yehiya, Noam Slonim, Yoav Katz

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy.

Shai Gretz, Assaf Toledo, Roni Friedman, Dan Lahav, Rose Weeks, Naor Bar-Zeev, João Sedoc, Pooja Sangha, Yoav Katz, Noam Slonim

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers.

Ariel Gera, Roni Friedman, Ofir Arviv, Chulaka Gunasekara, Benjamin Sznajder, Noam Slonim, Eyal Shnarch

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning.

Shachar Don-Yehiya, Elad Venezian, Colin Raffel, Noam Slonim, Leshem Choshen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

nBIIG: A Neural BI Insights Generation System for Table Reporting.

Yotam Perlitz, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Revisiting Sequential Information Bottleneck: New Implementation and Evaluation.

Assaf Toledo, Elad Venezian, Noam Slonim

Entropy, 2022

SimpleStyle: An Adaptable Style Transfer Approach.

Elron Bandel, Yoav Katz, Noam Slonim, Liat Ein-Dor

CoRR, 2022

ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning.

Shachar Don-Yehiya, Elad Venezian, Colin Raffel, Noam Slonim, Yoav Katz, Leshem Choshen

CoRR, 2022

Efficient Methods for Natural Language Processing: A Survey.

Marcos V. Treviso, Tianchu Ji, Ji-Ung Lee, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Pedro Henrique Martins, André F. T. Martins, Peter A. Milder, Colin Raffel, Edwin Simpson, Noam Slonim, Niranjan Balasubramanian, Leon Derczynski, Roy Schwartz

CoRR, 2022

Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours.

Eyal Shnarch, Alon Halfon, Ariel Gera, Marina Danilevsky, Yannis Katsis, Leshem Choshen, Martín Santillán Cooper, Dina Epelboim, Zheng Zhang, Dakuo Wang, Lucy Yip, Liat Ein-Dor, Lena Dankin, Ilya Shnayderman, Ranit Aharonov, Yunyao Li, Naftali Liberman, Philip Levin Slesarev, Gwilym Newton, Shila Ofek-Koifman, Noam Slonim, Yoav Katz

CoRR, 2022

VIRATrustData: A Trust-Annotated Corpus of Human-Chatbot Conversations About COVID-19 Vaccines.

Roni Friedman, João Sedoc, Shai Gretz, Assaf Toledo, Rose Weeks, Naor Bar-Zeev, Yoav Katz, Noam Slonim

CoRR, 2022

Diversity Enhanced Table-to-Text Generation via Type Control.

Yotam Perlitz, Liat Ein-Dor, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer

CoRR, 2022

Fusing finetuned models for better pretraining.

Leshem Choshen, Elad Venezian, Noam Slonim, Yoav Katz

CoRR, 2022

Heuristic-based Inter-training to Improve Few-shot Multi-perspective Dialog Summarization.

Benjamin Sznajder, Chulaka Gunasekara, Guy Lev, Sachin Joshi, Eyal Shnarch, Noam Slonim

CoRR, 2022

Multi-Domain Targeted Sentiment Analysis.

Orith Toledo-Ronen, Matan Orbach, Yoav Katz, Noam Slonim

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Project Debater - an autonomous debating system.

Noam Slonim

Proceedings of the International Symposium on Artificial Intelligence and Mathematics 2022 (ISAIM 2022), 2022

Zero-Shot Text Classification with Self-Training.

Ariel Gera, Alon Halfon, Eyal Shnarch, Yotam Perlitz, Liat Ein-Dor, Noam Slonim

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Cluster & Tune: Boost Cold Start Performance in Text Classification.

Eyal Shnarch, Ariel Gera, Alon Halfon, Lena Dankin, Leshem Choshen, Ranit Aharonov, Noam Slonim

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Quality Controlled Paraphrase Generation.

Elron Bandel, Ranit Aharonov, Michal Shmueli-Scheuer, Ilya Shnayderman, Noam Slonim, Liat Ein-Dor

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis.

Liat Ein-Dor, Ilya Shnayderman, Artem Spector, Lena Dankin, Ranit Aharonov, Noam Slonim

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

An autonomous debating system.

Noam Slonim, Yonatan Bilu, Carlos Alzate, Roy Bar-Haim, Ben Bogin, Francesca Bonin, Leshem Choshen, Edo Cohen-Karlik, Lena Dankin, Lilach Edelstein, Liat Ein-Dor, Roni Friedman-Melamed, Assaf Gavron, Ariel Gera, Martin Gleize, Shai Gretz, Dan Gutfreund, Alon Halfon, Daniel Hershcovich, Ron Hoory, Yufang Hou, Shay Hummel, Michal Jacovi, Charles Jochim, Yoav Kantor, Yoav Katz, David Konopnicki, Zvi Kons, Lili Kotlerman, Dalia Krieger, Dan Lahav, Tamar Lavee, Ran Levy, Naftali Liberman, Yosi Mass, Amir Menczel, Shachar Mirkin, Guy Moshkowich, Shila Ofek-Koifman, Matan Orbach, Ella Rabinovich, Ruty Rinott, Slava Shechtman, Dafna Sheinwald, Eyal Shnarch, Ilya Shnayderman, Aya Soffer, Artem Spector, Benjamin Sznajder, Assaf Toledo, Orith Toledo-Ronen, Elad Venezian, Ranit Aharonov

Nat., 2021

YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews.

Matan Orbach, Orith Toledo-Ronen, Artem Spector, Ranit Aharonov, Yoav Katz, Noam Slonim

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Project Debater APIs: Decomposing the AI Grand Challenge.

Roy Bar-Haim, Yoav Kantor, Elad Venezian, Yoav Katz, Noam Slonim

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

Overview of the 2021 Key Point Analysis Shared Task.

Roni Friedman, Lena Dankin, Yufang Hou, Ranit Aharonov, Yoav Katz, Noam Slonim

Proceedings of the 8th Workshop on Argument Mining, 2021

Every Bite Is an Experience: Key Point Analysis of Business Reviews.

Roy Bar-Haim, Lilach Eden, Yoav Kantor, Roni Friedman, Noam Slonim

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

YASO: A New Benchmark for Targeted Sentiment Analysis.

Matan Orbach, Orith Toledo-Ronen, Artem Spector, Ranit Aharonov, Yoav Katz, Noam Slonim

CoRR, 2020

What if we had no Wikipedia? Domain-independent Term Extraction from a Large News Corpus.

Yonatan Bilu, Shai Gretz, Edo Cohen, Noam Slonim

CoRR, 2020

Multilingual Argument Mining: Datasets and Analysis.

Orith Toledo-Ronen, Matan Orbach, Yonatan Bilu, Artem Spector, Noam Slonim

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains.

Eyal Shnarch, Leshem Choshen, Guy Moshkowich, Ranit Aharonov, Noam Slonim

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

The workweek is the best time to start a family - A Study of GPT-2 Based Claim Generation.

Shai Gretz, Yonatan Bilu, Edo Cohen-Karlik, Noam Slonim

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Active Learning for BERT: An Empirical Study.

Liat Ein-Dor, Alon Halfon, Ariel Gera, Eyal Shnarch, Lena Dankin, Leshem Choshen, Marina Danilevsky, Ranit Aharonov, Yoav Katz, Noam Slonim

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Quantitative argument summarization and beyond: Cross-domain key point analysis.

Roy Bar-Haim, Yoav Kantor, Lilach Eden, Roni Friedman, Dan Lahav, Noam Slonim

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Out of the Echo Chamber: Detecting Countering Debate Speeches.

Matan Orbach, Yonatan Bilu, Assaf Toledo, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

From Arguments to Key Points: Towards Automatic Argument Summarization.

Roy Bar-Haim, Lilach Eden, Roni Friedman, Yoav Kantor, Dan Lahav, Noam Slonim

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Controversy in Context.

Benjamin Sznajder, Ariel Gera, Yonatan Bilu, Dafna Sheinwald, Ella Rabinovich, Ranit Aharonov, David Konopnicki, Noam Slonim

CoRR, 2019

Fast End-to-End Wikification.

Ilya Shnayderman, Liat Ein-Dor, Yosi Mass, Alon Halfon, Benjamin Sznajder, Artem Spector, Yoav Katz, Dafna Sheinwald, Ranit Aharonov, Noam Slonim

CoRR, 2019

Towards Effective Rebuttal: Listening Comprehension using Corpus-Wide Claim Mining.

Tamar Lavee, Matan Orbach, Lili Kotlerman, Yoav Kantor, Shai Gretz, Lena Dankin, Shachar Mirkin, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, Noam Slonim

CoRR, 2019

Syntactic Interchangeability in Word Embedding Models.

Daniel Hershcovich, Assaf Toledo, Alon Halfon, Noam Slonim

CoRR, 2019

Automatic Argument Quality Assessment - New Datasets and Methods.

Assaf Toledo, Shai Gretz, Edo Cohen-Karlik, Roni Friedman, Elad Venezian, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Dataset of General-Purpose Rebuttal.

Matan Orbach, Yonatan Bilu, Ariel Gera, Yoav Kantor, Lena Dankin, Tamar Lavee, Lili Kotlerman, Shachar Mirkin, Michal Jacovi, Ranit Aharonov, Noam Slonim

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Learning to combine Grammatical Error Corrections.

Yoav Kantor, Yoav Katz, Leshem Choshen, Edo Cohen-Karlik, Naftali Liberman, Assaf Toledo, Amir Menczel, Noam Slonim

Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2019

Towards Effective Rebuttal: Listening Comprehension Using Corpus-Wide Claim Mining.

Tamar Lavee, Matan Orbach, Lili Kotlerman, Yoav Kantor, Shai Gretz, Lena Dankin, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, Noam Slonim

Proceedings of the 6th Workshop on Argument Mining, ArgMining@ACL 2019, Florence, Italy, 2019

Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network.

Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, Noam Slonim

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Argument Invention from First Principles.

Yonatan Bilu, Ariel Gera, Daniel Hershcovich, Benjamin Sznajder, Dan Lahav, Guy Moshkowich, Anael Malet, Assaf Gavron, Noam Slonim

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion.

Roy Bar-Haim, Dalia Krieger, Orith Toledo-Ronen, Lilach Edelstein, Yonatan Bilu, Alon Halfon, Yoav Katz, Amir Menczel, Ranit Aharonov, Noam Slonim

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

What did you Mention? A Large Scale Mention Detection Benchmark for Spoken and Written Text.

Yosi Mass, Lili Kotlerman, Shachar Mirkin, Elad Venezian, Gera Witzling, Noam Slonim

CoRR, 2018

A Recorded Debating Dataset.

Shachar Mirkin, Michal Jacovi, Tamar Lavee, Hong-Kwang Kuo, Samuel Thomas, Leslie Sager, Lili Kotlerman, Elad Venezian, Noam Slonim

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

SLIDE - a Sentiment Lexicon of Common Idioms.

Charles Jochim, Francesca Bonin, Roy Bar-Haim, Noam Slonim

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Semantic Relatedness of Wikipedia Concepts - Benchmark Data and a Working Solution.

Liat Ein-Dor, Alon Halfon, Yoav Kantor, Ran Levy, Yosi Mass, Ruty Rinott, Eyal Shnarch, Noam Slonim

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Learning Concept Abstractness Using Weak Supervision.

Ella Rabinovich, Benjamin Sznajder, Artem Spector, Ilya Shnayderman, Ranit Aharonov, David Konopnicki, Noam Slonim

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Listening Comprehension over Argumentative Content.

Shachar Mirkin, Guy Moshkowich, Matan Orbach, Lili Kotlerman, Yoav Kantor, Tamar Lavee, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, Noam Slonim

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Project Debater.

Noam Slonim

Proceedings of the Computational Models of Argument, 2018

Learning Sentiment Composition from Sentiment Lexicons.

Orith Toledo-Ronen, Roy Bar-Haim, Alon Halfon, Charles Jochim, Amir Menczel, Ranit Aharonov, Noam Slonim

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Towards an argumentative content search engine using weak supervision.

Ran Levy, Ben Bogin, Shai Gretz, Ranit Aharonov, Noam Slonim

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining.

Eyal Shnarch, Carlos Alzate, Lena Dankin, Martin Gleize, Yufang Hou, Leshem Choshen, Ranit Aharonov, Noam Slonim

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Learning Thematic Similarity Metric from Article Sections Using Triplet Networks.

Liat Ein-Dor, Yosi Mass, Alon Halfon, Elad Venezian, Ilya Shnayderman, Ranit Aharonov, Noam Slonim

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

GRASP: Rich Patterns for Argumentation Mining.

Eyal Shnarch, Ran Levy, Vikas C. Raykar, Noam Slonim

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Stance Classification of Context-Dependent Claims.

Roy Bar-Haim, Indrajit Bhattacharya, Francesco Dinuzzo, Amrita Saha, Noam Slonim

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Unsupervised corpus-wide claim detection.

Ran Levy, Shai Gretz, Benjamin Sznajder, Shay Hummel, Ranit Aharonov, Noam Slonim

Proceedings of the 4th Workshop on Argument Mining, 2017

Improving Claim Stance Classification with Lexical Knowledge Expansion and Context Utilization.

Roy Bar-Haim, Lilach Edelstein, Charles Jochim, Noam Slonim

Proceedings of the 4th Workshop on Argument Mining, 2017

2016

On the Retrieval of Wikipedia Articles Containing Claims on Controversial Topics.

Haggai Roitman, Shay Hummel, Ella Rabinovich, Benjamin Sznajder, Noam Slonim, Ehud Aharoni

Proceedings of the 25th International Conference on World Wide Web, 2016

Expert Stance Graphs for Computational Argumentation.

Orith Toledo-Ronen, Roy Bar-Haim, Noam Slonim

Proceedings of the Third Workshop on Argument Mining, 2016

Claim Synthesis via Predicate Recycling.

Yonatan Bilu, Noam Slonim

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Automatic Arguments Construction - From Search Engine to Research Engine.

Dan Gutfreund, Yoav Katz, Noam Slonim

Proceedings of the 2016 AAAI Fall Symposia, Arlington, Virginia, USA, November 17-19, 2016, 2016

2015

Debating Technologies (Dagstuhl Seminar 15512).

Iryna Gurevych, Eduard H. Hovy, Noam Slonim, Benno Stein

Dagstuhl Reports, 2015

Automatic Claim Negation: Why, How and When.

Yonatan Bilu, Daniel Hershcovich, Noam Slonim

Proceedings of the 2nd Workshop on Argumentation Mining, 2015

Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection.

Ruty Rinott, Lena Dankin, Carlos Alzate Perez, Mitesh M. Khapra, Ehud Aharoni, Noam Slonim

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

TR9856: A Multi-word Term Relatedness Benchmark.

Ran Levy, Liat Ein-Dor, Shay Hummel, Ruty Rinott, Noam Slonim

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora.

Noam Slonim, Ehud Aharoni, Carlos Alzate, Roy Bar-Haim, Yonatan Bilu, Lena Dankin, Iris Eiron, Daniel Hershcovich, Shay Hummel, Mitesh M. Khapra, Tamar Lavee, Ran Levy, Paul Matchen, Anatoly Polnarov, Vikas C. Raykar, Ruty Rinott, Amrita Saha, Naama Zwerdling, David Konopnicki, Dan Gutfreund

Proceedings of the COLING 2014, 2014

Context Dependent Claim Detection.

Ran Levy, Yonatan Bilu, Daniel Hershcovich, Ehud Aharoni, Noam Slonim

Proceedings of the COLING 2014, 2014

A Benchmark Dataset for Automatic Detection of Claims and Evidence in the Context of Controversial Topics.

Ehud Aharoni, Anatoly Polnarov, Tamar Lavee, Daniel Hershcovich, Ran Levy, Ruty Rinott, Dan Gutfreund, Noam Slonim

Proceedings of the First Workshop on Argument Mining, 2014

2013

Hartigan's K-Means Versus Lloyd's K-Means - Is It Time for a Change?

Noam Slonim, Ehud Aharoni, Koby Crammer

Proceedings of the IJCAI 2013, 2013

2012

Utilizing assigned treatments as labels for supervised machine learning in clinical decision support.

Ruty Rinott, Boaz Carmeli, Carmel Kent, Yonatan Maman, Yoav Rubin, Noam Slonim

Proceedings of the ACM International Health Informatics Symposium, 2012

2011

Prognostic Data-Driven Clinical Decision Support - Formulation and Implications.

Ruty Rinott, Boaz Carmeli, Carmel Kent, Daphna Landau, Yonatan Maman, Yoav Rubin, Noam Slonim

Proceedings of the User Centered Networked Health Care - Proceedings of MIE 2011, 2011

Active Online Classification via Information Maximization.

Noam Slonim, Elad Yom-Tov, Koby Crammer

Proceedings of the IJCAI 2011, 2011

2010

Predicting Customer Churn in Mobile Networks through Analysis of Social Groups.

Yossi Richter, Elad Yom-Tov, Noam Slonim

Proceedings of the SIAM International Conference on Data Mining, 2010

2009

Parallel Pairwise Clustering.

Elad Yom-Tov, Noam Slonim

Proceedings of the SIAM International Conference on Data Mining, 2009

2006

Multivariate Information Bottleneck.

Noam Slonim, Nir Friedman, Naftali Tishby

Neural Comput., 2006

Information Bottleneck for Non Co-Occurrence Data.

Yevgeny Seldin, Noam Slonim, Naftali Tishby

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2005

Estimating mutual information and multi-information in large networks

Noam Slonim, Gurinder S. Atwal, Gasper Tkacik, William Bialek

CoRR, 2005

2003

Discriminative Feature Selection via Multiclass Variable Memory Markov Model.

Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tishby

EURASIP J. Adv. Signal Process., 2003

2002

Unsupervised document classification using sequential information maximization.

Noam Slonim, Nir Friedman, Naftali Tishby

Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002

Maximum Likelihood and the Information Bottleneck.

Noam Slonim, Yair Weiss

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001

Multivariate Information Bottleneck.

Nir Friedman, Ori Mosenzon, Noam Slonim, Naftali Tishby

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Agglomerative Multivariate Information Bottleneck.

Noam Slonim, Nir Friedman, Naftali Tishby

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000

Document clustering using word clusters via the information bottleneck method.

Noam Slonim, Naftali Tishby

Proceedings of the SIGIR 2000: Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2000

Data Clustering by Markovian Relaxation and the Information Bottleneck Method.

Naftali Tishby, Noam Slonim

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999

Agglomerative Information Bottleneck.

Noam Slonim, Naftali Tishby

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998

WebSuite: A Tool Suite for Harnessing Web Data.

Catriel Beeri, Gershon Elber, Tova Milo, Yehoshua Sagiv, Oded Shmueli, Naftali Tishby, Yakov A. Kogan, David Konopnicki, Pini Mogilevski, Noam Slonim

Proceedings of the World Wide Web and Databases, 1998