Deep learning· 2017
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
DOI 10.1109/cvpr.2018.00286arXiv 1712.05877OpenAlex W2777406049
On the reading lists
- #58 in Deep learning (2026 edition)
Why it matters
Established practical integer-only inference and quantization-aware training for mobile deployment.
Condensed from the expert lists' notes.
The record
- First released
- 2017 (from arXiv 1712.05877)
- Published
- 2018
- Citations
- 4,917 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Score
- 0.331 · computed rank 526 · consensus 0.37, must-read 0, citations percentile 0.628 (2010s · deep-learning), awards 0, existing lists 0. Method
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.