End-to-End Deep Learning of Optimization Heuristics
By Chris Cummins, Pavlos Petoumenos, Zheng Wang, Hugh Leather. 2017
214 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Hardware and Architecture
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Torsten Hoefler
- Tal Ben-Nun
- Kevin Swersky
- Daniel Tarlow
- Alice Shoshana Jakobovits
- Parthasarathy Ranganathan
- Zhan Shi
- Milad Hashemi
In Computer Vision and Pattern Recognition
- Torsten Hoefler
- Tal Ben-Nun
- Daniel Tarlow
- Kevin Swersky
- Parthasarathy Ranganathan
- Milad Hashemi
- Luc Van Gool
- Yoshua Bengio
In Hardware and Architecture
Citations in the corpus
- A Survey of Machine Learning for Big Code and Naturalness (2017, neutral): “[47] Tokens Optimization Flags Distributed Optimization Heuristics”
- Learning Execution through Neural Code Fusion (2019, background): “[10] embeds code and optionally allows a flat vector of auxiliary features that can depend on dynamic information.”
- Neural Code Comprehension: A Learnable Representation of Code Semantics (2018, methodology): “[18], removing their specialized OpenCL source rewriter and replacing their code token embeddings with our XFGs and inst2vec.”