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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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A Formal Hierarchy of RNN Architectures

Apr 24, 2020
William Merrill, Gail Weiss, Yoav Goldberg, Roy Schwartz, Noah A. Smith, Eran Yahav

* To appear at ACL 2020. Updated to include computational cost estimates 

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Adversarial Examples for Models of Code

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


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Learning Deterministic Weighted Automata with Queries and Counterexamples

Oct 30, 2019
Gail Weiss, Yoav Goldberg, Eran Yahav

* Accepted in NeurIPS 2019 

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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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Towards Neural Decompilation

May 20, 2019
Omer Katz, Yuval Olshaker, Yoav Goldberg, 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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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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code2seq: Generating Sequences from Structured Representations of Code

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


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Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples

Jun 24, 2018
Gail Weiss, Yoav Goldberg, Eran Yahav

* Accepted in ICML 2018 

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On the Practical Computational Power of Finite Precision RNNs for Language Recognition

May 13, 2018
Gail Weiss, Yoav Goldberg, Eran Yahav

* Accepted as a short paper in ACL 2018 

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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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Programming Not Only by Example

Oct 03, 2017
Hila Peleg, Sharon Shoham, Eran Yahav


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Learning Disjunctions of Predicates

Jun 15, 2017
Nader H. Bshouty, Dana Drachsler-Cohen, Martin Vechev, Eran Yahav


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