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Conference: MLP 2018 (Workshop on Machine Learning for Programming)

This page shows all presentations from this conference published in EasyChair Smart Slide.

Deep Learning On Code with an Unbounded Vocabulary

Deep Learning On Code with an Unbounded Vocabulary

Milan Cvitkovic, Badal Singh and Anima Anandkumar

Splitting source code identifiers using Bidirectional LSTM Recurrent Neural Network

Splitting source code identifiers using Bidirectional LSTM Recurrent Neural Network

Vadim Markovtsev, Waren Long, Egor Bulychev, Romain Keramitas, Konstantin Slavnov and Gabor Markowski

code2vec: Learning Distributed Representations of Code

code2vec: Learning Distributed Representations of Code

Eran Yahav

Beyond Deductive Methods in Program Analysis

Beyond Deductive Methods in Program Analysis

Mukund Raghothaman, Sulekha Kulkarni, Richard Zhang, Xujie Si, Kihong Heo, Woosuk Lee and Mayur Naik

Measuring software development productivity: a machine learning approach

Measuring software development productivity: a machine learning approach

Ian Wright, Jean Helie and Albert Ziegler

DeepBugs: A Learning Approach to Name-based Bug Detection

DeepBugs: A Learning Approach to Name-based Bug Detection

Michael Pradel

Neural Meta Program Synthesis

Neural Meta Program Synthesis

Rishabh Singh

Presentations in this collection: 7
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