Aditya Paliwal, Felix Gimeno, Vinod Nair and

Yujia Li, Miles Lubin, Pushmeet Kohli, Oriol Vinyals

Keywords Abstract Paper

reinforcement learning, learning to optimize, combinatorial optimization, computation graphs, model parallelism, learning for systems

Grace Dinh, James Demmel

Keywords Abstract Paper

optimal tilings, communication-avoiding algorithms, cache complexity

Tobias Grosser, Theodoros Theodoridis, Maximilian Falkenstein and

Arjun Pitchanathan, Michael Kruse, Manuel Rigger, Zhendong Su, Torsten Hoefler

Keywords Abstract Paper

Presburger Arithmetic, Transprecision, Linear Programming, Simplex

Amil Merchant, Luke Metz, Samuel Schoenholz, Ekin Cubuk

Keywords Abstract Paper

Applications, Others

Guixiang Ma, Yao Xiao, Theodore Willke and

Nesreen Ahmed, Shahin Nazarian, Paul Bogdan

Keywords Abstract Paper

Guixiang Ma, Yao Xiao, Theodore Willke and

Nesreen Ahmed, Shahin Nazarian, Paul Bogdan

Keywords Abstract Paper

Yaniv David, Uri Alon, Eran Yahav

Keywords Abstract Paper

Static Binary Analysis, Neural Reverse Engineering

Zhan Shi, Kevin Swersky, Daniel Tarlow and

Parthasarathy Ranganathan, Milad Hashemi

Keywords Abstract Paper

code understanding, graph neural networks, learning program execution, execution traces, program performance

Paul Vicol, Luke Metz, Jascha Sohl-Dickstein

Keywords Abstract Paper

Deep Learning

Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos, Babis Tsourakakis

Keywords Abstract Paper

Algorithms, Uncertainty Estimation, Algorithms, Missing Data; Theory, Regularization, Algorithms, Networks and Relational Learning

Erik Lindgren, Sashank Reddi, Ruiqi Guo, Sanjiv Kumar

Keywords Abstract Paper

deep learning, machine learning

Zixiu Wang, Yiwen Guo, Hu Ding

Keywords Abstract Paper

optimization, machine learning, adversarial robustness and security, clustering

Maria-Florina Balcan, Dravyansh Sharma

Keywords Abstract Paper

theory, generative model, graph learning, online learning, semi-supervised learning

Longqi Yang, Liangliang Zhang, Yuhua Tang

Keywords Abstract Paper

Vincent J. Hellendoorn, Charles Sutton, Rishabh Singh and

Petros Maniatis, David Bieber

Keywords Abstract Paper

Models of Source Code, Graph Neural Networks, Structured Learning

Menghao Li, Minjia Zhang, Chi Wang, Mingqin Li

Keywords Abstract Paper

Xianda Zheng, Yuan-Fang Li, Huan Gao and

Yuncheng Hua, Guilin Qi

Keywords Abstract Paper

Nate Veldt, Austin Benson, Jon Kleinberg

Keywords Abstract Paper

machine learning, graph learning, clustering

Radu Marinescu, Akihiro Kishimoto, Parikshit Ram and

Ambrish Rawat, Martin Wistuba, Paulito P. Palmes, Adi Botea

Keywords Abstract Paper

Cong Zhang, Wen Song, Zhiguang Cao and

Jie Zhang, Puay Siew Tan, Xu Chi

Keywords Abstract Paper

Hongyu Zhu, Amar Phanishayee, Gennady Pekhimenko

Keywords Abstract Paper

Kimon Fountoulakis, Di Wang, Shenghao Yang

Keywords Abstract Paper

Unsupervised and Semi-Supervised Learning

Asaf Noy, Niv Nayman, Tal Ridnik and

Nadav Zamir, Sivan Doveh, Itamar Friedman, Raja Giryes, Lihi Zelnik

Keywords Abstract Paper

Shuai Zheng, Zhenfeng Zhu, Xingxing Zhang and

Zhizhe Liu, Jian Cheng, Yao Zhao

Keywords Abstract Paper

graph representation learning, generative adversarial network, graph neural network, unsupervised learning

Robert Peharz, Steven Lang, Antonio Vergari and

Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting, Zoubin Ghahramani

Keywords Abstract Paper

Probabilistic Inference - Models and Probabilistic Programming

Yu Zhang, Ping Huang, Ke Zhou and

Hua Wang, Jianying Hu, Yongguang Ji, Bin Cheng

Keywords Abstract Paper

Minseok Jeon, Myungho Lee, Hakjoo Oh

Keywords Abstract Paper

Context sensitivity, Pointer analysis, Data-driven static analysis, Heap abstraction, Machine learning for program analysis

Jinghan Sun, Chen Wang, Jian Huang, Marc Snir

Keywords Abstract Paper

Runzhong Wang, Zhigang Hua, Gan Liu and

Jiayi Zhang, Junchi Yan, Feng Qi, Shuang Yang, Jun Zhou, Xiaokang Yang

Keywords Abstract Paper

deep learning, optimization, reinforcement learning and planning, machine learning, graph learning

Ying Jin, Zhaoran Wang, Junwei Lu

Keywords Abstract Paper

Probabilistic Inference - Models and Probabilistic Programming

Travis Dick, Wesley Pegden, Maria-Florina Balcan

Keywords Abstract Paper

Fabian Ritter, Sebastian Hack

Keywords Abstract Paper

port mapping, processor reverse engineering, evolutionary algorithm

Giacomo Meanti, Luigi Carratino, Lorenzo Rosasco, Alessandro Rudi

Keywords Abstract Paper

Gordon E. Moon, J. Austin Ellis, Aravind Sukumaran-Rajam and

Srinivasan Parthasarathy, P. Sadayappan

Keywords Abstract Paper

dimensionality reduction, data locality optimization, parallel non-negative matrix factorization

Shengzhong Zhang, Zengfeng Huang, Haicang Zhou, Ziang Zhou

Keywords Abstract Paper

network embedding, graph partition, graph neural networks

Chris Cummins, Zacharias Fisches, Tal Ben-Nun and

Torsten Hoefler, Michael O'Boyle, Hugh Leather

Keywords Abstract Paper

Applications, Hardware and Systems

Supun Nakandala, Karla Saur, Gyeong-In Yu and

Konstantinos Karanasos, Carlo Curino, Markus Weimer, Matteo Interlandi

Keywords Abstract Paper

Donghan Yu, Ruohong Zhang, Zhengbao Jiang and

Yuexin Wu, Yiming Yang

Keywords Abstract Paper

graph convolutional network, graph learning, semi-supervised learning

Kevin Bello, Asish Ghoshal, Jean Honorio

Keywords Abstract Paper