CS@BIU

Research output

Research output per year 1963 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024

• 73687 Citations
• 121 h-index
• 2000 Conference contribution
• 1323 Article
• 232 Paper
• 183 Chapter
• 426 More
  • 126 Conference article
  • 79 Editorial
  • 73 Book
  • 43 Preprint
  • 40 Patent
  • 15 Foreword/postscript
  • 15 Review article
  • 15 Other contribution
  • 12 Comment/debate
  • 4 Letter
  • 2 Anthology
  • 1 Entry for encyclopedia/dictionary
  • 1 Meeting Abstract

Research output per year

Research output per year

Search results

• 2022

  Analyzing and Overcoming Degradation in Warm-Start Off-Policy Reinforcement Learning

  Wexler, B., Sarafian, E. & Kraus, S., 2022.

  Research output: Contribution to conference › Paper › peer-review

  • Reinforcement learning 100%
  • Degradation 69%
  • Extrapolation 18%
  • Multiobjective optimization 15%
  • Tuning 12%

• Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs

  Richardson, K., Tamari, R., Sultan, O., Tsarfaty, R., Shahaf, D. & Sabharwal, A., 2022, p. 9703-9719. 17 p.

  Research output: Contribution to conference › Paper › peer-review

  • Transformer 100%
  • Beliefs 81%
  • Modeling 49%
  • Reasoning 43%
  • Learning 41%
  1 Scopus citations

• Controlled Text Reduction

  Slobodkin, A., Roit, P., Hirsch, E., Ernst, O. & Dagan, I., 2022, p. 5699-5715. 17 p.

  Research output: Contribution to conference › Paper › peer-review

  • Text 100%
  • Summarization 91%
  • Model 25%
  • Conveying 24%
  • Silver 23%

• Cross-document Event Coreference Search: Task, Dataset and Modeling

  Eirew, A., Caciularu, A. & Dagan, I., 2022, p. 900-913. 14 p.

  Research output: Contribution to conference › Paper › peer-review

  • Wikipedia 100%
  • Modeling 75%
  • Retrieval 73%
  • Query 57%
  • Question Answering 41%
  1 Scopus citations

• How “Multi” is Multi-Document Summarization?

  Wolhandler, R., Cattan, A., Ernst, O. & Dagan, I., 2022, p. 5761-5769. 9 p.

  Research output: Contribution to conference › Paper › peer-review

  • Multi-document Summarization 100%
  • Summarization 36%
  • Cover 17%
  • Output 9%
  • Metric 7%
  1 Scopus citations

• Kernelized Concept Erasure

  Ravfogel, S., Vargas, F., Goldberg, Y. & Cotterell, R., 2022, p. 6034-6055. 22 p.

  Research output: Contribution to conference › Paper › peer-review

  • Neural networks 100%
  • Concepts 86%
  • Kernelization 27%
  • Linear Algorithm 26%
  • Training 21%
  2 Scopus citations

• Lexical Generalization Improves with Larger Models and Longer Training

  Bandel, E., Goldberg, Y. & Elazar, Y., 2022, p. 4427-4439. 13 p.

  Research output: Contribution to conference › Paper › peer-review

  • Training 100%
  • Overlap 97%
  • Heuristics 81%
  • Generalization 47%
  • Language Model 37%
  1 Scopus citations

• McPhraSy: Multi-Context Phrase Similarity and Clustering

  Cohen, A. D. N., Gonen, H., Shapira, O., Levy, R. & Goldberg, Y., 2022, p. 3538-3550. 13 p.

  Research output: Contribution to conference › Paper › peer-review

  • Clustering 100%
  • Similarity 89%
  • Context 64%
  • Natural language processing systems 64%
  • Leverage 12%

• QASem Parsing: Text-to-text Modeling of QA-based Semantics

  Klein, A., Hirsch, E., Eliav, R., Pyatkin, V., Caciularu, A. & Dagan, I., 2022, p. 7742-7756. 15 p.

  Research output: Contribution to conference › Paper › peer-review

  • Parsing 100%
  • Natural Language 94%
  • Text 69%
  • Semantics 63%
  • Multi-task Learning 63%
  1 Scopus citations

• Textless Speech Emotion Conversion using Discrete & Decomposed Representations

  Kreuk, F., Polyak, A., Copet, J., Kharitonov, E., Nguyen, T. A., Rivière, M., Hsu, W. N., Mohamed, A., Dupoux, E. & Adi, Y., 2022, p. 11200-11214. 15 p.

  Research output: Contribution to conference › Paper › peer-review

  • Emotion 100%
  • Speech 95%
  • Speech analysis 33%
  • Unit 24%
  • Speech Signal 19%
  4 Scopus citations

• Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space

  Geva, M., Caciularu, A., Wang, K. R. & Goldberg, Y., 2022, p. 30-45. 16 p.

  Research output: Contribution to conference › Paper › peer-review

  • Feedforward Networks 100%
  • Feedforward 87%
  • Transformer 86%
  • Update 64%
  • Prediction 52%
  5 Scopus citations
• 2021

  Data Augmentation for Sign Language Gloss Translation

  Moryossef, A., Yin, K., Neubig, G. & Goldberg, Y., 2021, p. 1-11. 11 p.

  Research output: Contribution to conference › Paper › peer-review

  • gloss 100%
  • Augmentation 92%
  • Sign Language 85%
  • Gloss 81%
  • Syntactics 76%
  14 Scopus citations

• LEARNING THE PARETO FRONT WITH HYPERNETWORKS

  Navon, A., Shamsian, A., Fetaya, E. & Chechik, G., 2021.

  Research output: Contribution to conference › Paper › peer-review

  • Ray 100%
  • Multiobjective optimization 81%
  • learning 73%
  • Machine Learning 45%
  • Fairness 39%
  21 Scopus citations
• 2019

  Affiliated event of CRYPTO 2020

  Asharov, G., 2019.

  Research output: Contribution to conference › Paper › peer-review

• An axiomaic definition of risk aversion with applications

  Aumann, Y., 2019.

  Research output: Contribution to conference › Paper › peer-review

• COMPUTER AGENTS THAT INTERACT PROFICIENTLY WITH PEOPLE

  Kraus, S., 2019.

  Research output: Contribution to conference › Paper › peer-review

• Computers Arguing with People

  Kraus, S., 2019.

  Research output: Contribution to conference › Paper › peer-review

• Constructive polynomial partitioning for algebraic curves in R³with applications

  Aronov, B., Ezra, E. & Zahl, J., 2019, p. 2636-2648. 13 p.

  Research output: Contribution to conference › Paper › peer-review

  • Algebraic curve 100%
  • Partitioning 93%
  • Polynomials 72%
  • Curve 57%
  • Cell 52%
  4 Scopus citations

• List decoding with double samplers

  Dinur, I., Harsha, P., Kaufman, T., Navon, I. L. & Shma, A. T., 2019, p. 2134-2153. 20 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  • List Decoding 100%
  • Decoding 58%
  • Expander 52%
  • Game 44%
  • Object 27%
  21 Scopus citations

• Neural network gradient-based learning of black-box function interfaces

  Jacovi, A., Hadash, G., Kermany, E., Carmeli, B., Lavi, O., Kour, G. & Berant, J., 2019.

  Research output: Contribution to conference › Paper › peer-review

  • Neural Networks 100%
  • neural network 99%
  • Neural networks 50%
  • Functionality 47%
  • functionality 30%
  5 Scopus citations

• OptORAMa: Optimal Oblivious RAM

  Asharov, G., 2019.

  Research output: Contribution to conference › Paper › peer-review

• The streaming k-mismatch problem

  Clifford, R., Kociumaka, T. & Porat, E., 2019, p. 1106-1125. 20 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  • Streaming 100%
  • Hamming distance 94%
  • Hamming Distance 58%
  • Pattern matching 42%
  • Text 34%
  20 Scopus citations
• 2018

  AI Safety for Self Driving Vehicles

  Kraus, S., 2018.

  Research output: Contribution to conference › Paper › peer-review

• Automated Agents that Interact Proficiently with People

  Kraus, S., 2018.

  Research output: Contribution to conference › Paper › peer-review

• Crowd Mining: a framework for mining the knowledge of web users

  Amsterdamer, Y., 2018.

  Research output: Contribution to conference › Paper › peer-review

  • Internet 100%

• Oblivious Computation with Data Locality

  Asharov, G., 2018.

  Research output: Contribution to conference › Paper › peer-review

• On Time Discounting, Impatience and Risk Aversion

  Aumann, Y., 2018.

  Research output: Contribution to conference › Paper › peer-review

• OptORAMa: Optimal Oblivious RAM

  Asharov, G., 2018.

  Research output: Contribution to conference › Paper › peer-review

• Predicting Human Decision-Making: From Prediction to Action

  Kraus, S., 2018.

  Research output: Contribution to conference › Paper › peer-review
• 2017

  An Axiomatic Foundation for the Theory of Risk Aversion

  Aumann, Y., 2017.

  Research output: Contribution to conference › Paper › peer-review

• Fine-grained analysis of sentence embeddings using auxiliary prediction tasks

  Adi, Y., Kermany, E., Belinkov, Y., Lavi, O. & Goldberg, Y., 2017.

  Research output: Contribution to conference › Paper › peer-review

  • Prediction 100%
  • Sentence Length 93%
  • Recurrent Neural Networks 44%
  • Content Words 42%
  • Classifier 36%
  190 Scopus citations

• Modifying optimal SAT-based approach to multi-agent path-finding problem to suboptimal variants

  Surynek, P., Felner, A., Stern, R. & Boyarski, E., 2017, p. 169-170. 2 p.

  Research output: Contribution to conference › Paper › peer-review

  4 Scopus citations

• Neural disambiguation of causal lexical markers based on context

  Martínez-Cámara, E., Shwartz, V., Gurevych, I. & Dagan, I., 2017.

  Research output: Contribution to conference › Paper › peer-review

  • Vector spaces 100%
  • Linguistics 91%
  • Network architecture 90%
  • Neural networks 58%
  • Experiments 34%
  10 Scopus citations

• Nurturing group-beneficial information-gathering behaviors through above-threshold criteria setting

  Rochlin, I., Sarne, D., Bremer, M. & Grynhaus, B., 2017, p. 3044-3051. 8 p.

  Research output: Contribution to conference › Paper › peer-review

• Psychologically based virtual-suspect for interrogative interview training

  Bitan, M., Nahari, G., Nisin, Z., Roth, A. & Kraus, S., 2017, p. 993-1000. 8 p.

  Research output: Contribution to conference › Paper › peer-review

  • Law enforcement 100%
  • Personnel 68%
  • Experiments 31%
  4 Scopus citations

• Search-based optimal solvers for the multi-agent pathfinding problem: Summary and challenges

  Felner, A., Stern, R., Shimony, S. E., Boyarski, E., Goldenberg, M., Sharon, G., Sturtevant, N., Wagner, G. & Surynek, P., 2017, p. 29-37. 9 p.

  Research output: Contribution to conference › Paper › peer-review

  • Costs 100%
  113 Scopus citations

• Strategic signaling and free information disclosure in auctions

  Alkoby, S., Sarne, D. & Milchtaich, I., 2017, p. 319-327. 9 p.

  Research output: Contribution to conference › Paper › peer-review

  • Sales 100%
  • Multi agent systems 49%
  8 Scopus citations

• The benefit in free information disclosure when selling information to people

  Alkoby, S. & Sarne, D., 2017, p. 985-992. 8 p.

  Research output: Contribution to conference › Paper › peer-review

  • Sales 100%
  • Profitability 92%
  • Uncertainty 65%
  • Decision making 37%
  • Experiments 18%
  8 Scopus citations

• Top-k Queries on Unknown Values under Order Constraints

  Amarilli, A., Amsterdamer, Y., Milo, T. & Senellart, P., 2017.

  Research output: Contribution to conference › Paper › peer-review

• Top-k Querying of Unknown Values under Order Constraints

  Amarilli, A., Amsterdamer, Y., Milo, T. & Senellart, P., 2017.

  Research output: Contribution to conference › Paper › peer-review
• 2016

  Accelerated partial decoding in Wavelet trees

  Baruch, G., Klein, S. T. & Shapira, D., 2016.

  Research output: Contribution to conference › Paper › peer-review

• Adversarial Robotics

  Agmon, N., 2016.

  Research output: Contribution to conference › Paper › peer-review

• N/A

  Kraus, S., 2016.

  Research output: Contribution to conference › Paper › peer-review

• Repeated Games Revisited: An Ordinal Perspective

  Aumann, Y. & Segal-Halevi, E., 2016.

  Research output: Contribution to conference › Paper › peer-review

• Teams, Swarms, Crowds and Collectives: Special Cases?

  Kaminka, G., 2016.

  Research output: Contribution to conference › Paper › peer-review

• The use and usefulness of Fibonacci codes

  Klein, S., 2016.

  Research output: Contribution to conference › Paper › peer-review

• The use and usefulness of Fibonacci compression codes

  Klein, S., 2016.

  Research output: Contribution to conference › Paper › peer-review
• 2015

  Adaptively Secure Computation with Partial Erasures

  Patra, A., Hazay, C. & Lindell, Y., 2015.

  Research output: Contribution to conference › Paper › peer-review

• Adversarial Modeling in the Robotic Coverage Problem

  Yehoshua, R. & Agmon, N., 2015.

  Research output: Contribution to conference › Paper › peer-review

  • Robotics 100%
  • Robots 84%
  • NP-hard 42%
  • Polynomials 33%

• Agent-Human Interaction without Prior Communication

  Kraus, S., 2015.

  Research output: Contribution to conference › Paper › peer-review