Modelling Concurrency Bugs Using Machine Learning

8 May 2023

Papers citing "Modelling Concurrency Bugs Using Machine Learning"

20 / 20 papers shown

Title
A Formal Hierarchy of RNN Architectures William Merrill Gail Weiss Yoav Goldberg Roy Schwartz Noah A. Smith Eran Yahav 91 82 0 18 Apr 2020
Probing Neural Network Comprehension of Natural Language Arguments Timothy Niven Hung-Yu kao AAML 103 455 0 17 Jul 2019
DeepRace: Finding Data Race Bugs via Deep Learning Ali Tehrani Jamsaz Mohammed Khaleel R. Akbari Ali Jannesari HAI 32 4 0 15 Jul 2019
The What-If Tool: Interactive Probing of Machine Learning Models James Wexler Mahima Pushkarna Tolga Bolukbasi Martin Wattenberg F. Viégas Jimbo Wilson VLM 93 495 0 09 Jul 2019
Financial series prediction using Attention LSTM Sangyeon Kim Myung-joo Kang AI4TS HAI 65 52 0 28 Feb 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 1.1K 5,551 0 20 Dec 2018
A General Path-Based Representation for Predicting Program Properties Uri Alon Meital Zilberstein Omer Levy Eran Yahav 46 207 0 26 Mar 2018
Deep Visual Domain Adaptation: A Survey Mei Wang Weihong Deng OOD 102 2,020 0 10 Feb 2018
A Survey of Machine Learning for Big Code and Naturalness Miltiadis Allamanis Earl T. Barr Premkumar T. Devanbu Charles Sutton 119 860 0 18 Sep 2017
Recent Trends in Deep Learning Based Natural Language Processing Tom Young Devamanyu Hazarika Soujanya Poria Min Zhang 83 2,838 0 09 Aug 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 22,135 0 22 May 2017
Deep LSTM for Large Vocabulary Continuous Speech Recognition Xudong Tian Jun Zhang Zejun Ma Yi He Juan Wei Peihao Wu Wenchang Situ Shuai Li Yang Zhang 48 30 0 21 Mar 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 459 2,483 0 10 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 850 5,849 0 05 Dec 2016
End to End Learning for Self-Driving Cars Mariusz Bojarski D. Testa Daniel Dworakowski Bernhard Firner B. Flepp ... Urs Muller Jiakai Zhang Xin Zhang Jake Zhao Karol Zieba SSL 102 4,179 0 25 Apr 2016
Deep Learning in Finance J. B. Heaton Nicholas G. Polson J. Witte 71 168 0 21 Feb 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,092 0 16 Feb 2016
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,145 0 20 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 610 12,760 0 11 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,575 0 04 Sep 2014