• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 159 matches

• 2023
• 
  Paul Roit, Johan Ferret, Lior Shani, Roee Aharoni, Geoffrey Cideron, Robert Dadashi, Matthieu Geist, Sertan Girgin, Léonard Hussenot, Orgad Keller, Nikola Momchev, Sabela Ramos Garea, Piotr Stanczyk, Nino Vieillard, Olivier Bachem, Gal Elidan, Avinatan Hassidim, Olivier Pietquin, Idan Szpektor:
  Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback. ACL (1) 2023: 6252-6272
• 
  Eden Hartman, Avinatan Hassidim, Yonatan Aumann, Erel Segal-Halevi:
  Leximin Approximation: From Single-Objective to Multi-Objective. ECAI 2023: 996-1003
• 
  Eden Hartman, Avinatan Hassidim, Yonatan Aumann, Erel Segal-Halevi:
  Leximin Approximation: From Single-Objective to Multi-Objective. CoRR abs/2303.12506 (2023)
• 
  Paul Roit, Johan Ferret, Lior Shani, Roee Aharoni, Geoffrey Cideron, Robert Dadashi, Matthieu Geist, Sertan Girgin, Léonard Hussenot, Orgad Keller, Nikola Momchev, Sabela Ramos, Piotr Stanczyk, Nino Vieillard, Olivier Bachem, Gal Elidan, Avinatan Hassidim, Olivier Pietquin, Idan Szpektor:
  Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback. CoRR abs/2306.00186 (2023)
• 
  Oran Lang, Doron Yaya-Stupp, Ilana Traynis, Heather Cole-Lewis, Chloe R. Bennett, Courtney Lyles, Charles Lau, Christopher Semturs, Dale R. Webster, Gregory S. Corrado, Avinatan Hassidim, Yossi Matias, Yun Liu, Naama Hammel, Boris Babenko:
  Using generative AI to investigate medical imagery models and datasets. CoRR abs/2306.00985 (2023)
• 
  Grey Nearing, Deborah Cohen, Vusumuzi Dube, Martin Gauch, Oren Gilon, Shaun Harrigan, Avinatan Hassidim, Frederik Kratzert, Asher Metzger, Sella Nevo, Florian Pappenberger, Christel Prudhomme, Guy Shalev, Shlomo Shenzis, Tadele Tekalign, Dana Weitzner, Yossi Matias:
  AI Increases Global Access to Reliable Flood Forecasts. CoRR abs/2307.16104 (2023)
• 
  Ariel Goldstein, Eric Ham, Mariano Schain, Samuel A. Nastase, Zaid Zada, Avigail Dabush, Bobbi Aubrey, Harshvardhan Gazula, Amir Feder, Werner K. Doyle, Sasha Devore, Patricia Dugan, Daniel Friedman, Roi Reichart, Michael P. Brenner, Avinatan Hassidim, Orrin Devinsky, Adeen Flinker, Omer Levy, Uri Hasson:
  The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models. CoRR abs/2310.07106 (2023)
• 2022
• 
  Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer:
  Adversarially Robust Streaming Algorithms via Differential Privacy. J. ACM 69(6): 42:1-42:14 (2022)
• 
  Liron David, Avinatan Hassidim, Yossi Matias, Moti Yung, Alon Ziv:
  Eddystone-EID: Secure and Private Infrastructural Protocol for BLE Beacons. IEEE Trans. Inf. Forensics Secur. 17: 3877-3889 (2022)
• 
  Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansy, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias:
  TRUE: Re-evaluating Factual Consistency Evaluation. DialDoc@ACL 2022: 161-175
• 
  Amir Feder, Itay Laish, Shashank Agarwal, Uri Lerner, Avel Atias, Cathy Cheung, Peter Clardy, Alon Peled-Cohen, Rachana Fellinger, Hengrui Liu, Lan Huong Nguyen, Birju Patel, Natan Potikha, Amir Taubenfeld, Liwen Xu, Seung Doo Yang, Ayelet Benjamini, Avinatan Hassidim:
  Building a Clinically-Focused Problem List From Medical Notes. LOUHI@EMNLP 2022: 60-68
• 
  Liron David, Avinatan Hassidim, Yossi Matias, Moti Yung:
  Scaling up GAEN Pseudorandom Processes: Preparing for a More Extensive Pandemic. ESORICS (1) 2022: 237-255
• 
  Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansy, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias:
  TRUE: Re-evaluating Factual Consistency Evaluation. NAACL-HLT 2022: 3905-3920
• 
  Péter Biró, Avinatan Hassidim, Assaf Romm, Ran I. Shorrer, Sándor Sovago:
  The Large Core of College Admission Markets: Theory and Evidence. EC 2022: 958-959
• 
  Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansky, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias:
  TRUE: Re-evaluating Factual Consistency Evaluation. CoRR abs/2204.04991 (2022)
• 
  Deborah Cohen, Moonkyung Ryu, Yinlam Chow, Orgad Keller, Ido Greenberg, Avinatan Hassidim, Michael Fink, Yossi Matias, Idan Szpektor, Craig Boutilier, Gal Elidan:
  Dynamic Planning in Open-Ended Dialogue using Reinforcement Learning. CoRR abs/2208.02294 (2022)
• 2021
• 
  Avinatan Hassidim, Assaf Romm, Ran I. Shorrer:
  The Limits of Incentives in Economic Matching Procedures. Manag. Sci. 67(2): 951-963 (2021)
• 
  Avishai Zagoury, Orgad Keller, Avinatan Hassidim, Noam Hazon:
  Targeted Negative Campaigning: Complexity and Approximations. AAAI 2021: 5768-5778
• 
  Shlomo Hoory, Amir Feder, Avichai Tendler, Sofia Erell, Alon Peled-Cohen, Itay Laish, Hootan Nakhost, Uri Stemmer, Ayelet Benjamini, Avinatan Hassidim, Yossi Matias:
  Learning and Evaluating a Differentially Private Pre-trained Language Model. EMNLP (Findings) 2021: 1178-1189
• 
  Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri:
  Explaining in Style: Training a GAN to explain a classifier in StyleSpace. ICCV 2021: 673-682
• 
  Vladimir Braverman, Avinatan Hassidim, Yossi Matias, Mariano Schain, Sandeep Silwal, Samson Zhou:
  Adversarial Robustness of Streaming Algorithms through Importance Sampling. NeurIPS 2021: 3544-3557
• 
  Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri:
  Explaining in Style: Training a GAN to explain a classifier in StyleSpace. CoRR abs/2104.13369 (2021)
• 
  Vladimir Braverman, Avinatan Hassidim, Yossi Matias, Mariano Schain, Sandeep Silwal, Samson Zhou:
  Adversarial Robustness of Streaming Algorithms through Importance Sampling. CoRR abs/2106.14952 (2021)
• 
  Sella Nevo, Efrat Morin, Adi Gerzi Rosenthal, Asher Metzger, Chen Barshai, Dana Weitzner, Dafi Voloshin, Frederik Kratzert, Gal Elidan, Gideon Dror, Gregory Begelman, Grey Nearing, Guy Shalev, Hila Noga, Ira Shavitt, Liora Yuklea, Moriah Royz, Niv Giladi, Nofar Peled Levi, Ofir Reich, Oren Gilon, Ronnie Maor, Shahar Timnat, Tal Shechter, Vladimir Anisimov, Yotam Gigi, Yuval Levin, Zach Moshe, Zvika Ben-Haim, Avinatan Hassidim, Yossi Matias:
  Flood forecasting with machine learning models in an operational framework. CoRR abs/2111.02780 (2021)
• 2020
• 
  Erel Segal-Halevi, Avinatan Hassidim, Haris Aziz:
  Fair Allocation with Diminishing Differences. J. Artif. Intell. Res. 67: 471-507 (2020)
• 
  Amir Feder, Danny Vainstein, Roni Rosenfeld, Tzvika Hartman, Avinatan Hassidim, Yossi Matias:
  Active deep learning to detect demographic traits in free-form clinical notes. J. Biomed. Informatics 107: 103436 (2020)
• 
  Tzvika Hartman, Michael D. Howell, Jeff Dean, Shlomo Hoory, Ronit Slyper, Itay Laish, Oren Gilon, Danny Vainstein, Greg Corrado, Katherine Chou, Ming Jack Po, Jutta Williams, Scott Ellis, Gavin Bee, Avinatan Hassidim, Rony Amira, Genady Beryozkin, Idan Szpektor, Yossi Matias:
  Customization scenarios for de-identification of clinical notes. BMC Medical Informatics Decis. Mak. 20(1): 14 (2020)
• 
  Erel Segal-Halevi, Shmuel Nitzan, Avinatan Hassidim, Yonatan Aumann:
  Envy-Free Division of Land. Math. Oper. Res. 45(3): 896-922 (2020)
• 
  Ori Rottenstreich, Haim Kaplan, Avinatan Hassidim:
  Clustering in Hypergraphs to Minimize Average Edge Service Time. ACM Trans. Algorithms 16(3): 40:1-40:28 (2020)
• 
  Tom Zahavy, Avinatan Hassidim, Haim Kaplan, Yishay Mansour:
  Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies. ALT 2020: 906-934

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