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MAPL@PLDI
2017
2020
2017
2020
Keyphrases
Publications
2020
Proceedings of the 4th ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, MAPL@PLDI 2020, London, UK, June 15, 2020
MAPL@PLDI
(2020)
Mayur Patil
,
Farzin Houshmand
,
Mohsen Lesani
Learning quantitative representation synthesis.
MAPL@PLDI
(2020)
Lujing Cen
,
Ryan Marcus
,
Hongzi Mao
,
Justin Gottschlich
,
Mohammad Alizadeh
,
Tim Kraska
Learned garbage collection.
MAPL@PLDI
(2020)
Momoko Hattori
,
Shimpei Sawada
,
Shinichiro Hamaji
,
Masahiro Sakai
,
Shunsuke Shimizu
Semi-static type, shape, and symbolic shape inference for dynamic computation graphs.
MAPL@PLDI
(2020)
Ruizhe Zhao
,
Wayne Luk
,
Chao Xiong
,
Xinyu Niu
,
Kuen Hung Tsoi
On the challenges in programming mixed-precision deep neural networks.
MAPL@PLDI
(2020)
Alex Sanchez-Stern
,
Yousef Alhessi
,
Lawrence K. Saul
,
Sorin Lerner
Generating correctness proofs with neural networks.
MAPL@PLDI
(2020)
2019
Proceedings of the 3rd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, MAPL@PLDI 2019, Phoenix, AZ, USA, June 22, 2019
MAPL@PLDI
(2019)
Philippe Tillet
,
Hsiang-Tsung Kung
,
David D. Cox
Triton: an intermediate language and compiler for tiled neural network computations.
MAPL@PLDI
(2019)
Guillaume Baudart
,
Martin Hirzel
,
Kiran Kate
,
Louis Mandel
,
Avraham Shinnar
Machine learning in Python with no strings attached.
MAPL@PLDI
(2019)
Jessica Ai
,
Nimar S. Arora
,
Ning Dong
,
Beliz Gokkaya
,
Thomas Jiang
,
Anitha Kubendran
,
Arun Kumar
,
Michael Tingley
,
Narjes Torabi
HackPPL: a universal probabilistic programming language.
MAPL@PLDI
(2019)
Andrés Goens
,
Alexander Brauckmann
,
Sebastian Ertel
,
Chris Cummins
,
Hugh Leather
,
Jerónimo Castrillón
A case study on machine learning for synthesizing benchmarks.
MAPL@PLDI
(2019)
Jason Liu
,
Seohyun Kim
,
Vijayaraghavan Murali
,
Swarat Chaudhuri
,
Satish Chandra
Neural query expansion for code search.
MAPL@PLDI
(2019)
2018
Justin Gottschlich
,
Armando Solar-Lezama
,
Nesime Tatbul
,
Michael Carbin
,
Martin Rinard
,
Regina Barzilay
,
Saman P. Amarasinghe
,
Joshua B. Tenenbaum
,
Tim Mattson
The three pillars of machine programming.
MAPL@PLDI
(2018)
Julian Dolby
,
Avraham Shinnar
,
Allison Allain
,
Jenna M. Reinen
Ariadne: analysis for machine learning programs.
MAPL@PLDI
(2018)
Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, MAPL@PLDI 2018, Philadelphia, PA, USA, June 18-22, 2018
MAPL@PLDI
(2018)
Hongfa Xue
,
Guru Venkataramani
,
Tian Lan
Clone-hunter: accelerated bound checks elimination via binary code clone detection.
MAPL@PLDI
(2018)
Venmugil Elango
,
Norm Rubin
,
Mahesh Ravishankar
,
Hariharan Sandanagobalane
,
Vinod Grover
Diesel: DSL for linear algebra and neural net computations on GPUs.
MAPL@PLDI
(2018)
Fang-Hsiang Su
,
Jonathan Bell
,
Gail E. Kaiser
,
Baishakhi Ray
Obfuscation resilient search through executable classification.
MAPL@PLDI
(2018)
Marco F. Cusumano-Towner
,
Vikash K. Mansinghka
A design proposal for Gen: probabilistic programming with fast custom inference via code generation.
MAPL@PLDI
(2018)
Saksham Sachdev
,
Hongyu Li
,
Sifei Luan
,
Seohyun Kim
,
Koushik Sen
,
Satish Chandra
Retrieval on source code: a neural code search.
MAPL@PLDI
(2018)
Jared Roesch
,
Steven Lyubomirsky
,
Logan Weber
,
Josh Pollock
,
Marisa Kirisame
,
Tianqi Chen
,
Zachary Tatlock
Relay: a new IR for machine learning frameworks.
MAPL@PLDI
(2018)
2017
Chandrakana Nandi
,
Dan Grossman
,
Adrian Sampson
,
Todd Mytkowicz
,
Kathryn S. McKinley
Debugging probabilistic programs.
MAPL@PLDI
(2017)
Charlie Murphy
,
Patrick Gray
,
Gordon Stewart
Verified perceptron convergence theorem.
MAPL@PLDI
(2017)
Tim Vieira
,
Matthew Francis-Landau
,
Nathaniel Wesley Filardo
,
Farzad Khorasani
,
Jason Eisner
Dyna: toward a self-optimizing declarative language for machine learning applications.
MAPL@PLDI
(2017)
Proceedings of the 1st ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, MAPL@PLDI 2017, Barcelona, Spain, June 18, 2017
MAPL@PLDI
(2017)
Xin Zhang
,
Xujie Si
,
Mayur Naik
Combining the logical and the probabilistic in program analysis.
MAPL@PLDI
(2017)
Martín Abadi
,
Michael Isard
,
Derek Gordon Murray
A computational model for TensorFlow: an introduction.
MAPL@PLDI
(2017)
Ugur Koc
,
Parsa Saadatpanah
,
Jeffrey S. Foster
,
Adam A. Porter
Learning a classifier for false positive error reports emitted by static code analysis tools.
MAPL@PLDI
(2017)