Anand Venkat

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All published works
Action Title Year Authors
+ Predictive data locality optimization for higher-order tensor computations 2021 Tharindu R. Patabandi
Anand Venkat
Abhishek Kulkarni
Pushkar Ratnalikar
Mary Hall
Justin Gottschlich
+ MISIM: An End-to-End Neural Code Similarity System. 2020 Fangke Ye
Shengtian Zhou
Anand Venkat
Ryan Marcus
Nesime Tatbul
Jesmin Jahan Tithi
Paul Petersen
Timothy G. Mattson
Tim Kraska
Pradeep Dubey
+ MISIM: A Novel Code Similarity System 2020 Fangke Ye
Shengtian Zhou
Anand Venkat
Ryan Marcus
Nesime Tatbul
Jesmin Jahan Tithi
Niranjan Hasabnis
Paul Petersen
Timothy G. Mattson
Tim Kraska
+ Context-Aware Parse Trees 2020 Fangke Ye
Shengtian Zhou
Anand Venkat
Ryan Marcus
Paul Petersen
Jesmin Jahan Tithi
Tim Mattson
Tim Kraska
Pradeep Dubey
Vivek Sarkar
+ MISIM: A Neural Code Semantics Similarity System Using the Context-Aware Semantics Structure 2020 Fangke Ye
Shengtian Zhou
Anand Venkat
Ryan Marcus
Nesime Tatbul
Jesmin Jahan Tithi
Niranjan Hasabnis
Paul Petersen
Timothy G. Mattson
Tim Kraska
+ High-Performance Deep Learning via a Single Building Block 2019 Evangelos Georganas
Kunal Banerjee
Dhiraj Kalamkar
Sasikanth Avancha
Anand Venkat
Michael J. Anderson
Greg Henry
Hans Pabst
Alexander Heinecke
+ Sparse Matrix Code Dependence Analysis Simplification at Compile Time 2018 Mahdi Soltan Mohammadi
Kazem Cheshmi
Ganesh Gopalakrishnan
Mary Hall
Maryam Mehri Dehnavi
Anand Venkat
Tomofumi Yuki
Michelle Mills Strout
+ ISA Mapper: A Compute and Hardware Agnostic Deep Learning Compiler 2018 Matthew Sotoudeh
Anand Venkat
Michael T. Anderson
Evangelos Georganas
Alexander Heinecke
Jason Knight
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat code2vec: learning distributed representations of code 2019 Uri Alon
Meital Zilberstein
Omer Levy
Eran Yahav
4
+ PDF Chat The three pillars of machine programming 2018 Justin Gottschlich
Armando Solar-Lezama
Nesime Tatbul
Michael Carbin
Martin Rinard
Regina Barzilay
Saman Amarasinghe
Joshua B. Tenenbaum
Tim Mattson
4
+ PDF Chat How Developers Choose Names 2020 Dror G. Feitelson
Ayelet Mizrahi
Nofar Noy
Aviad Ben Shabat
Or Eliyahu
Roy Sheffer
3
+ Convolutional Neural Networks over Tree Structures for Programming Language Processing 2014 Lili Mou
Ge Li
Lu Zhang
Tao Wang
Zhi Jin
3
+ PDF Chat A Survey of Machine Learning for Big Code and Naturalness 2018 Miltiadis Allamanis
Earl T. Barr
Prémkumar Dévanbu
Charles Sutton
3
+ Learning to Represent Programs with Graphs 2017 Miltiadis Allamanis
Marc Brockschmidt
Mahmoud Khademi
3
+ PDF Chat Aroma: code recommendation via structural code search 2019 Sifei Luan
Di Yang
Celeste Barnaby
Koushik Sen
Satish Chandra
3
+ Introduction to Algorithms, third edition 2009 Thomas H. Cormen
Charles E. Leiserson
Ronald L. Rivest
Clifford Stein
2
+ Modeling Relational Data with Graph Convolutional Networks 2018 Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
2
+ Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions 2018 Nicolas Vasilache
Oleksandr Zinenko
Theodoros Theodoridis
Priya Goyal
Zachary DeVito
William S. Moses
Sven Verdoolaege
Andrew Adams
Albert Cohen
2
+ PDF Chat A general path-based representation for predicting program properties 2018 Uri Alon
Meital Zilberstein
Omer Levy
Eran Yahav
2
+ PDF Chat DeepBugs: a learning approach to name-based bug detection 2018 Michael Pradel
Koushik Sen
2
+ Neural Code Comprehension: A Learnable Representation of Code Semantics 2018 Tal Ben‐Nun
Alice Shoshana Jakobovits
Torsten Hoefler
2
+ code2seq: Generating Sequences from Structured Representations of Code 2018 Uri Alon
Shaked Brody
Omer Levy
Eran Yahav
2
+ Decoupled Weight Decay Regularization 2017 Ilya Loshchilov
Frank Hutter
2
+ Efficient Estimation of Word Representations in Vector Space 2013 Tomáš Mikolov
Kai Chen
Greg S. Corrado
Jay B. Dean
2
+ PDF Chat Getafix: learning to fix bugs automatically 2019 Johannes Bader
Andrew Scott
Michael Pradel
Satish Chandra
2
+ Software Language Comprehension using a Program-Derived Semantic Graph 2020 Roshni G. Iyer
Yizhou Sun
Wei Wang
Justin Gottschlich
2
+ PDF Chat FaceNet: A unified embedding for face recognition and clustering 2015 Florian Schroff
Dmitry Kalenichenko
James Philbin
2
+ Code Completion with Neural Attention and Pointer Networks 2018 Jian Li
Yue Wang
Michael R. Lyu
Irwin King
2
+ Toward Code Generation: A Survey and Lessons from Semantic Parsing 2021 Celine Lee
Justin Gottschlich
Dan Roth
2
+ Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks 2021 Ruchir Puri
David S. Kung
Geert Janssen
Wei Zhang
Giacomo Domeniconi
Vladmir Zolotov
Julian Dolby
Jie Chen
Mihir Choudhury
Lindsey Decker
2
+ High-Accuracy Low-Precision Training 2018 Christopher De
Megan Leszczynski
Jian Zhang
Alana Marzoev
Christopher R. Aberger
Kunle Olukotun
Christopher Ré
1
+ PDF Chat Circle Loss: A Unified Perspective of Pair Similarity Optimization 2020 Yifan Sun
Changmao Cheng
Yuhan Zhang
Chi Zhang
Liang Zheng
Zhongdao Wang
Yichen Wei
1
+ Glow: Graph Lowering Compiler Techniques for Neural Networks 2018 Nadav Rotem
Jordan Fix
Saleem Abdulrasool
Summer Deng
Roman Dzhabarov
James W. Hegeman
Roman Levenstein
Bert Maher
Satish Nadathur
Jakob Olesen
1
+ Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation 2014 Kyunghyun Cho
Bart van Merriënboer
Çaǧlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
1
+ Generative Code Modeling with Graphs 2018 Marc Brockschmidt
Miltiadis Allamanis
Alexander L. Gaunt
Oleksandr Polozov
1
+ PDF Chat Sympiler 2017 Kazem Cheshmi
Shoaib Kamil
Michelle Mills Strout
Maryam Mehri Dehnavi
1
+ Analytical characterization and design space exploration for optimization of CNNs 2021 Rui Li
Yufan Xu
Aravind Sukumaran-Rajam
Atanas Rountev
P. Sadayappan
1
+ Anatomy Of High-Performance Deep Learning Convolutions On SIMD Architectures 2018 Evangelos Georganas
Sasikanth Avancha
Banerjee Kunal
Kalamkar Dhiraj
Henry Greg
Hans Pabst
Alexander Heinecke
1
+ Optimizing CNN Model Inference on CPUs 2018 Yizhi Liu
Yao Wang
Ruofei Yu
Mu Li
Vin Sharma
Yida Wang
1
+ Tree-to-tree Neural Networks for Program Translation 2018 Xinyun Chen
Chang Liu
Dawn Song
1
+ PDF Chat High-Performance Generalized Tensor Operations 2018 Roman A. Gareev
Tobias Grosser
Michael Kruse
1
+ PDF Chat Tensor Contractions with Extended BLAS Kernels on CPU and GPU 2016 Yang Shi
U. N. Niranjan
Animashree Anandkumar
Cris Cecka
1
+ Large-Batch Training for LSTM and Beyond 2019 Yang You
Jonathan Hseu
Chris Ying
James Demmel
Kurt Keutzer
Cho‐Jui Hsieh
1
+ Stripe: Tensor Compilation via the Nested Polyhedral Model 2019 Tim Zerrell
Jeremy Bruestle
1
+ TVM: An Automated End-to-End Optimizing Compiler for Deep Learning 2018 Tianqi Chen
Thierry Moreau
Ziheng Jiang
Lianmin Zheng
Eddie Yan
Meghan Cowan
Haichen Shen
Leyuan Wang
Yuwei Hu
Luís Ceze
1
+ Distributed Representations of Words and Phrases and their Compositionality 2013 Tomáš Mikolov
Ilya Sutskever
Kai Chen
Greg S. Corrado
Jay B. Dean
1
+ PDF Chat NVIDIA Tensor Core Programmability, Performance & Precision 2018 Stefano Markidis
Steven W. D. Chien
Erwin Laure
Ivy Bo Peng
Jeffrey S. Vetter
1
+ Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation 2014 Kyunghyun Cho
Bart van Merriënboer
Çaǧlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
1
+ code2seq: Generating Sequences from Structured Representations of Code 2018 Uri Alon
Shaked Brody
Omer Levy
Eran Yahav
1
+ A General Path-Based Representation for Predicting Program Properties. 2018 Uri Alon
Meital Zilberstein
Omer Levy
Eran Yahav
1
+ Neural Code Comprehension: A Learnable Representation of Code Semantics 2018 Tal Ben‐Nun
Alice Shoshana Jakobovits
Torsten Hoefler
1
+ Parallel Multi Channel Convolution using General Matrix Multiplication 2017 Aravind Vasudevan
Andrew Anderson
David Gregg
1
+ PDF Chat Speech recognition with deep recurrent neural networks 2013 Alex Graves
Abdelrahman Mohamed
Geoffrey E. Hinton
1
+ Attention is All you Need 2017 Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Łukasz Kaiser
Illia Polosukhin
1
+ PDF Chat Going deeper with convolutions 2015 Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
1
+ Dynamic Neural Program Embeddings for Program Repair 2018 Ke Wang
Zhendong Su
Rishabh Singh
1
+ Parallel ICCG on a hierarchical memory multiprocessor — Addressing the triangular solve bottleneck 1992 Edward Rothberg
Anoop Gupta
1
+ Learning to Optimize Tensor Programs 2018 Tianqi Chen
Lianmin Zheng
Eddie Yan
Ziheng Jiang
Thierry Moreau
Luís Ceze
Carlos Guestrin
Arvind Krishnamurthy
1