The Hebrew University of Jerusalem

Research output

Research output per year 2011 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025

• 1813700 Citations
• 442 h-index
• 21636 Article
• 3875 Chapter
• 1846 Conference contribution
• 1652 Review article
• 4046 More
  • 1612 Book
  • 591 Comment/debate
  • 381 Editorial
  • 235 Conference article
  • 223 Entry for encyclopedia/dictionary
  • 168 Letter
  • 155 Book/Arts/Article review
  • 112 Paper
  • 111 Foreword/postscript
  • 76 Short survey
  • 67 Meeting Abstract
  • 62 Report
  • 52 Preprint
  • 51 Working paper
  • 36 Special issue
  • 34 Other contribution
  • 25 Patent
  • 17 Discussion paper
  • 9 Abstract
  • 7 Catalogue essay
  • 6 Poster
  • 5 Comment/Debate
  • 3 Digital or Visual Products
  • 2 Other
  • 2 Book/Film/Article review
  • 2 Exhibition
  • 2 Software

Research output per year

Research output per year

Search results

• 2024

  ALIGN WITH PURPOSE: OPTIMIZE DESIRED PROPERTIES IN CTC MODELS WITH A GENERAL PLUG-AND-PLAY FRAMEWORK

  Segev, E., Alroy, M., Katsir, R., Wies, N., Shenhav, A., Ben-Oren, Y., Zar, D., Tadmor, O., Bitterman, J., Shashua, A. & Rosenwein, T., 2024.

  The Hebrew University of Jerusalem

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

• GROKKING AS A FIRST ORDER PHASE TRANSITION IN TWO LAYER NETWORKS

  Rubin, N., Seroussi, I. & Ringel, Z., 2024.

  Tel Aviv University, The Hebrew University of Jerusalem

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

• LET'S DO THE TIME-WARP-ATTEND: LEARNING TOPOLOGICAL INVARIANTS OF DYNAMICAL SYSTEMS

  Moriel, N., Ricci, M. & Nitzan, M., 2024.

  The Hebrew University of Jerusalem

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

• NOISE-FREE SCORE DISTILLATION

  Katzir, O., Patashnik, O., Cohen-Or, D. & Lischinski, D., 2024.

  Tel Aviv University, The Hebrew University of Jerusalem

  Research output: Contribution to conference › Paper › peer-review
• 2023

  AN EXACT POLY-TIME MEMBERSHIP-QUERIES ALGORITHM FOR EXTRACTING A THREE-LAYER RELU NETWORK

  Daniely, A. & Granot, E., 2023.

  The Hebrew University of Jerusalem

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

• AUDIOGEN: TEXTUALLY GUIDED AUDIO GENERATION

  Kreuk, F., Synnaeve, G., Polyak, A., Singer, U., Défossez, A., Copet, J., Parikh, D., Taigman, Y. & Adi, Y., 2023.

  The Hebrew University of Jerusalem

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

• Born in Translation and Iteration: On the Poetics of Joao Delgado

  Mauas, L. & Rotman, D., Jun 2023. 16 p.

  The Hebrew University of Jerusalem

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

  Open Access

• CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies

  Cattan, A., Hope, T., Downey, D., Bar-Haim, R., Eden, L., Kantor, Y. & Dagan, I., 2023, p. 403-412. 10 p.

  Bar-Ilan University, The Hebrew University of Jerusalem

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

  • Annotation 100%
  • Consolidation 95%
  • Natural language processing systems 87%
  • Hierarchy 59%
  • Hierarchical Structure 44%

• PHASE2VEC: DYNAMICAL SYSTEMS EMBEDDING WITH A PHYSICS-INFORMED CONVOLUTIONAL NETWORK

  Ricci, M., Moriel, N., Piran, Z. & Nitzan, M., 2023.

  The Hebrew University of Jerusalem

  Research output: Contribution to conference › Paper › peer-review
• 2022

  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.

  Bar-Ilan University, The Hebrew University of Jerusalem

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

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

• Cards Against AI: Predicting Humor in a Fill-in-the-blank Party Game

  Ofer, D. & Shahaf, D., 2022, p. 5426-5432. 7 p.

  The Hebrew University of Jerusalem

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

  • Game 100%
  • Context 50%
  • Natural language processing systems 50%
  • Machine Learning 45%
  • Human computer interaction 41%

• GENIE Toward Reproducible and Standardized Human Evaluation for Text Generation

  Khashabi, D., Stanovsky, G., Bragg, J., Lourie, N., Kasai, J., Choi, Y., Smith, N. A. & Weld, D. S., 2022, p. 11444-11458. 15 p.

  The Hebrew University of Jerusalem

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

  • Text 100%
  • Human 96%
  • Evaluation 78%
  • Annotation 59%
  • Statistical Models 48%

• How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers

  Hassid, M., Peng, H., Rotem, D., Kasai, J., Montero, I., Smith, N. A. & Schwartz, R., 2022, p. 1403-1416. 14 p.

  The Hebrew University of Jerusalem

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

  • Transformer 100%
  • Dependent 50%
  • Architecture 33%
  • Language Model 24%
  • Backbone 19%

• Huge Frozen Language Models as Readers for Open-Domain Question Answering

  Levine, Y., Ram, O., Jannai, D., Lenz, B., Shalev-Shwartz, S., Shashua, A., Leyton-Brown, K. & Shoham, Y., 2 Jun 2022. 5 p.

  The Hebrew University of Jerusalem

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

  Open Access

  • Tuning 100%
  • Pipelines 97%

• Life is a Circus and We are the Clowns: Automatically Finding Analogies between Situations and Processes

  Sultan, O. & Shahaf, D., 2022, p. 3547-3562. 16 p.

  The Hebrew University of Jerusalem

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

  • Analogy 100%
  • Life 93%
  • Text 71%
  • Natural language processing systems 65%
  • Large dataset 58%

• Measuring the ¹⁵O(α,γ) ¹⁹Ne Reaction in Type I X-ray Bursts using the GADGET II TPC: Software

  Mahajan, R., Adams, A., Allmond, J., Pol, H. A., Argo, E., Ayyad, Y., Bardayan, D., Bazin, D., Budner, T., Chen, A., Chipps, K., Davids, B., Dopfer, J., Friedman, M., Fynbo, H., Grzywacz, R., Jose, J., Liang, J., Pain, S., Perez-Loureiro, D., & 10 othersPollacco, E., Psaltis, A., Ravishankar, S., Rogers, A., Schaedig, L., Sun, L. J., Surbrook, J., Wheeler, T., Weghorn, L. & Wrede, C., 24 Feb 2022.

  The Hebrew University of Jerusalem

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

  Open Access

  • marking 100%
  • bursts 86%
  • germanium 86%
  • projection 77%
  • chambers 77%

• Measuring the ¹⁵O(α, γ)¹⁹Ne reaction in Type I X-ray bursts using the GADGET II TPC: Hardware

  Wheeler, T., Adams, A., Allmond, J., Pol, H. A., Argo, E., Ayyad, Y., Bardayan, D., Bazin, D., Budner, T., Chen, A., Chipps, K., Davids, B., Dopfer, J., Friedman, M., Fynbo, H., Grzywacz, R., Jose, J., Liang, J., Mahajan, R., Pain, S., & 10 othersPérez-Loureiro, D., Pollacco, E., Psaltis, A., Ravishankar, S., Rogers, A., Schaedig, L., Sun, L. J., Surbrook, J., Weghorn, L. & Wrede, C., 24 Feb 2022.

  The Hebrew University of Jerusalem

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

  Open Access

  • marking 100%
  • hardware 92%
  • bursts 86%
  • germanium 86%
  • detectors 53%

• Novel experimental techniques for neutron induced charge particle reaction studies in nuclear astrophysics

  Yadav, C. & Friedman, M., 24 Feb 2022.

  The Hebrew University of Jerusalem

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

  Open Access

  • nuclear astrophysics 100%
  • neutrons 49%
  • liquid lithium 26%
  • nuclei 24%
  • nuclear fusion 19%

• PreQuEL: Quality Estimation of Machine Translation Outputs in Advance

  Don-Yehiya, S., Choshen, L. & Abend, O., 2022, p. 11170-11183. 14 p.

  The Hebrew University of Jerusalem

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

  • Machine Translation 100%
  • Output 42%
  • Service industry 38%
  • Text 35%
  • Natural language processing systems 34%

• STYLEALIGN: ANALYSIS AND APPLICATIONS OF ALIGNED STYLEGAN MODELS

  Wu, Z., Nitzan, Y., Shechtman, E. & Lischinski, D., 2022.

  The Hebrew University of Jerusalem, Tel Aviv University

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

  • Tuning 100%
  • Morphing 63%
  • Religious buildings 60%
  • Human Face 56%
  • Transfer learning 51%

• THE INDUCTIVE BIAS OF IN-CONTEXT LEARNING: RETHINKING PRETRAINING EXAMPLE DESIGN

  Levine, Y., Wies, N., Jannai, D., Navon, D., Hoshen, Y. & Shashua, A., 2022.

  The Hebrew University of Jerusalem

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

  • Language Model 100%
  • trend 38%
  • learning 26%
  • Chunking 24%
  • Language Understanding 21%

• Topical Segmentation of Spoken Narratives: A Test Case on Holocaust Survivor Testimonies

  Wagner, E., Keydar, R., Pinchevski, A. & Abend, O., 2022, p. 6809-6821. 13 p.

  The Hebrew University of Jerusalem

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

  • Segmentation 100%
  • Narrative 100%
  • Machinery 79%
  • Bayesian Modeling 27%
  • Mutual Information 24%

• “Covid vaccine is against Covid but Oxford vaccine is made at Oxford!” Semantic Interpretation of Proper Noun Compounds

  Kolluru, K., Stanovsky, G. & Mausam, 2022, p. 10407-10420. 14 p.

  The Hebrew University of Jerusalem

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

  • Vaccines 100%
  • Vaccine 94%
  • Semantics 62%
  • Interpretation 51%
  • Knowledge 37%
• 2021

  COMPUTATIONAL SEPARATION BETWEEN CONVOLUTIONAL AND FULLY-CONNECTED NETWORKS

  Malach, E. & Shalev-Shwartz, S., 2021.

  The Hebrew University of Jerusalem

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

  • Convolutional neural networks 100%
  • Computational 97%
  • Computer vision 92%
  • Polynomials 84%
  • Computer Vision 27%

• Longevity Perceptions and Saving Decisions during the COVID-19 Outbreak: An Experimental Investigation: AEA PAPERS AND PROCEEDINGS

  Hurwitz, A., Mitchell, OS. & Sade, O., May 2021, p. 297-301. 5 p.

  The Hebrew University of Jerusalem

  Research output: Contribution to conference › Paper

  Open Access

  • Annuitization 100%
  • Survival Probability 88%
  • Retirement Saving 85%
  • Individual Perception 80%
  • Retirement 71%

• PREDICTING CLASSIFICATION ACCURACY WHEN ADDING NEW UNOBSERVED CLASSES

  Slavutsky, Y. & Benjamini, Y., 2021.

  The Hebrew University of Jerusalem

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

  • Classifiers 100%
  • Classifier 97%
  • neural network 56%
  • brain 40%
  • simulation 37%

• RANDOM FEATURE ATTENTION

  Peng, H., Pappas, N., Yogatama, D., Schwartz, R., Smith, N. A. & Kong, L., 2021.

  The Hebrew University of Jerusalem

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

  Open Access

  • Machine Translation 100%
  • Decoding 64%
  • Gating 56%
  • Recency 54%
  • efficiency 53%

• Unfolding Conscious Awareness from Non-Conscious Perception in Non-Human Animals

  Ben-Haim, M. S., Monte, O. D., Fagan, N. A., Dunham, Y., Hassin, R. R., Chang, S. W. C. & Santos, L. R., 2021, p. 662-663. 2 p.

  The Hebrew University of Jerusalem

  Research output: Contribution to conference › Paper › peer-review
• 2020

  CLASSIFICATION-BASED ANOMALY DETECTION FOR GENERAL DATA

  Bergman, L. & Hoshen, Y., 2020.

  The Hebrew University of Jerusalem

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

  • Anomaly detection 100%
  • Anomaly 95%
  • Artificial intelligence 84%
  • Artificial Intelligence 19%
  • artificial intelligence 19%

• DEMYSTIFYING INTER-CLASS DISENTANGLEMENT

  Gabbay, A. & Hoshen, Y., 2020.

  The Hebrew University of Jerusalem

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

• Do children preferentially mark unpredictable material? The case of optional plural marking

  Tal, S. & Arnon, I., 2020, p. 3226-3232. 7 p.

  The Hebrew University of Jerusalem

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

  • Linguistics 100%
  • Language 84%
  • Child 46%
  • Efficiency 28%
  • Learning 19%

• Learning rules-first classifiers

  Cohen, D., Daniely, A., Globerson, A. & Elidan, G., 2020.

  Tel Aviv University, The Hebrew University of Jerusalem

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

  • Rule Learning 100%
  • Classifier 74%
  • Efficient Algorithms 56%
  • Classifiers 46%
  • Sentiment Analysis 42%

• ON THE WEAKNESSES OF REINFORCEMENT LEARNING FOR NEURAL MACHINE TRANSLATION

  Choshen, L., Fox, L., Aizenbud, Z. & Abend, O., 2020.

  The Hebrew University of Jerusalem

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

  • Machine Translation 100%
  • Reinforcement Learning 95%
  • Reinforcement learning 75%
  • reinforcement 73%
  • Text Generation 30%

• OPTIMAL STRATEGIES AGAINST GENERATIVE ATTACKS

  Mor, R., Peterfreund, E., Gavish, M. & Globerson, A., 2020.

  The Hebrew University of Jerusalem, Tel Aviv University

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

  • Generative 100%
  • Attack 74%
  • Authentication 56%
  • Critical infrastructures 40%
  • Information theory 38%

• Regulation of carbon reserve use in olive trees under heat, drought, and recovery

  Ben-Dor, S., Feldmesser, E., David-Schwartz, R., Oppenheimer-Shaanan, Y., Klein, T., Samach, A. & Tsamir-Rimon, M., 17 Feb 2020.

  The Hebrew University of Jerusalem

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

  • drought 100%
  • carbon 83%
  • starch 80%
  • heat 71%
  • metabolism 46%

• Revisiting the Uniformitarian Hypothesis: Can We Detect Recent Changes in the Typological Frequencies of Speech Sounds?

  Grossman, E., Eisen, E., Nikolaev, D. & Moran, S., 2020, p. 128-130.

  The Hebrew University of Jerusalem

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

  Open Access

• Synthetic biology in the brain: A vision of organic robots

  Rabinowitch, I., 2020, p. 654-655. 2 p.

  The Hebrew University of Jerusalem

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

  • Synthetic Biology 100%
  • Synthetic biology 87%
  • Robot 72%
  • Brain 64%
  • Vision 60%

• THE IMPLICIT BIAS OF DEPTH: HOW INCREMENTAL LEARNING DRIVES GENERALIZATION

  Gissin, D., Shalev-Shwartz, S. & Daniely, A., 2020.

  The Hebrew University of Jerusalem

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

  Open Access

  • neural network 100%
  • trend 82%
  • Neural Networks 64%
  • learning 57%
  • linear model 46%
• 2019

  A Hebrew Lincoln Acrostic in the English New York Jewish Messenger, May 1865: Who and When, What and Why

  Blondheim, M., 2019.

  The Hebrew University of Jerusalem

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

• Das "schwierigste Gebiet des Lastenausgleichs": Vertriebene "Ariseure" und jüdische Fiktivvertriebene im Ringen um Entschädigung

  Nachum, I., 2019, p. 1-10. 11 p.

  The Hebrew University of Jerusalem

  Research output: Contribution to conference › Paper

  Open Access

• Semistable reduction in characteristic 0

  Adiprasito, K., Liu, G. & Temkin, M., 2019.

  The Hebrew University of Jerusalem

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

  • Cayley 100%
  • Projective Variety 97%
  • Polytope 80%
  • Morphism 80%

• Theorems of carathéodory, helly, and tverberg without dimension

  Adiprasito, K., Bárány, I. & Mustafa, N. H., 2019, p. 2350-2360. 11 p.

  The Hebrew University of Jerusalem

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

  Open Access

  • Geometry 100%
  • Theorem 66%
  • Combinatorial Geometry 55%
  • Convex Geometry 54%
  • Fractional 29%
• 2018

  Benefits of depth for long-term memory of recurrent networks

  Levine, Y., Sharir, O. & Shashua, A., 2018.

  The Hebrew University of Jerusalem

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

  • Long-term Memory 100%
  • Recurrent neural networks 74%
  • Recurrent Neural Networks 48%
  • Data storage equipment 43%
  • neural network 33%

• Boosting dilated convolutional networks with mixed tensor decompositions

  Cohen, N., Shashua, A. & Tamari, R., 2018.

  The Hebrew University of Jerusalem

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

  • Decomposition 100%
  • Tensors 89%
  • efficiency 55%
  • Connectivity 29%
  • Layer 20%

• Coming to your senses: On controls and evaluation sets in polysemy research

  Dubossarsky, H., Grossman, E. & Weinshall, D., 2018, p. 1732-1740. 9 p.

  The Hebrew University of Jerusalem

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

  • Evaluation 100%
  • Similarity 93%
  • Performance 81%
  • Data Analytics 50%
  • Assignment 50%

• Critical percolation as a framework to analyze the training of deep networks

  Ringel, Z. & De Bem, R., 2018.

  The Hebrew University of Jerusalem

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

  • Maze 100%
  • Cost functions 74%
  • Costs 62%
  • Graph 56%
  • costs 45%

• Deep learning and quantum entanglement: Fundamental connections with implications to network design

  Levine, Y., Yakira, D., Cohen, N. & Shashua, A., 2018.

  The Hebrew University of Jerusalem

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

  • Quantum entanglement 100%
  • Entanglement 56%
  • Deep learning 48%
  • Wave functions 37%
  • Networks (circuits) 30%

• Disadvantaged but not dissatisfied: How agency ameliorates negative reactions to unequal pay

  Choshen-Hillel, S., Shaw, A. & Caruso, E. M., 2018.

  The Hebrew University of Jerusalem

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

  Open Access

  • Workers 100%
  • Managers 70%
  • Dissatisfaction 56%
  • Resources 25%

• Dora the Explorer: Directed outreaching reinforcement action-selection

  Choshen, L., Fox, L. & Loewenstein, Y., 2018.

  The Hebrew University of Jerusalem

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

  • Reinforcement 100%
  • reinforcement 87%
  • Highway systems 50%
  • Reinforcement learning 45%
  • World Knowledge 40%

• NAM - Unsupervised cross-domain image mapping without cycles or GANs

  Hoshen, Y. & Wolf, L., 2018.

  The Hebrew University of Jerusalem, Tel Aviv University

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

  • Source Domain 100%
  • Prior Knowledge 83%
  • Generative 70%
  • Translating 64%
  • knowledge 45%