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How Attentive are Graph Attention Networks?


May 30, 2021
Shaked Brody, Uri Alon, Eran Yahav


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Single-Node Attack for Fooling Graph Neural Networks


Nov 06, 2020
Ben Finkelshtein, Chaim Baskin, Evgenii Zheltonozhskii, Uri Alon


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On the Bottleneck of Graph Neural Networks and its Practical Implications


Jun 09, 2020
Uri Alon, Eran Yahav


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Neural Edit Completion


May 27, 2020
Shaked Brody, Uri Alon, Eran Yahav


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Adversarial Examples for Models of Code


Nov 27, 2019
Noam Yefet, Uri Alon, Eran Yahav


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Structural Language Models for Any-Code Generation


Sep 30, 2019
Uri Alon, Roy Sadaka, Omer Levy, Eran Yahav


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Neural Reverse Engineering of Stripped Binaries


Feb 25, 2019
Yaniv David, Uri Alon, Eran Yahav


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Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling


Feb 21, 2019
Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia X. Chen, Ye Jia, Anjuli Kannan, Tara Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel A. U. Bacchiani, Thomas B. Jablin, Rob Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon


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code2vec: Learning Distributed Representations of Code


Oct 30, 2018
Uri Alon, Meital Zilberstein, Omer Levy, Eran Yahav

* Accepted in POPL 2019 

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Contextual Speech Recognition with Difficult Negative Training Examples


Oct 29, 2018
Uri Alon, Golan Pundak, Tara N. Sainath


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code2seq: Generating Sequences from Structured Representations of Code


Oct 10, 2018
Uri Alon, Omer Levy, Eran Yahav


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A General Path-Based Representation for Predicting Program Properties


Apr 22, 2018
Uri Alon, Meital Zilberstein, Omer Levy, Eran Yahav

* to appear in PLDI 2018 

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