Papers presented at the 32nd International Conference on Logic Programming (ICLP 2016)
August 18, 2016 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Manuel Carro, Andy King
arXiv ID
1608.05440
Category
cs.PL: Programming Languages
Cross-listed
cs.LO
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
This is the list of the full papers accepted for presentation at the 32nd International Conference on Logic Programming, New York City, USA, October 18-21, 2016. In addition to the main conference itself, ICLP hosted four pre-conference workshops, the Autumn School on Logic Programing, and a Doctoral Consortium. The final versions of the full papers will be published in a special issue of the journal Theory and Practice of Logic Programming (TPLP). We received eighty eight abstract submissions, of which twenty seven papers were accepted for publication as TPLP rapid communications. Papers deemed of sufficiently high quality to be presented as the conference, but not enough to be appear in TPLP, will be published as Technical Communications in the OASIcs series. Fifteen papers fell into this category.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Programming Languages
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
R.I.P.
π»
Ghosted
Glow: Graph Lowering Compiler Techniques for Neural Networks
R.I.P.
π»
Ghosted
Learnable Programming: Blocks and Beyond
R.I.P.
π»
Ghosted
Scenic: A Language for Scenario Specification and Scene Generation
R.I.P.
π»
Ghosted
Vandal: A Scalable Security Analysis Framework for Smart Contracts
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted