Search Results for author: Jose Cambronero

Found 2 papers, 1 papers with code

When Deep Learning Met Code Search

2 code implementations9 May 2019 Jose Cambronero, Hongyu Li, Seohyun Kim, Koushik Sen, Satish Chandra

Our evaluation shows that: 1. adding supervision to an existing unsupervised technique can improve performance, though not necessarily by much; 2. simple networks for supervision can be more effective that more sophisticated sequence-based networks for code search; 3. while it is common to use docstrings to carry out supervision, there is a sizeable gap between the effectiveness of docstrings and a more query-appropriate supervision corpus.

Code Search Natural Language Queries

Incremental Color Quantization for Color-Vision-Deficient Observers Using Mobile Gaming Data

no code implementations22 Mar 2018 Jose Cambronero, Phillip Stanley-Marbell, Martin Rinard

We introduce DaltonQuant, a new color quantization technique for image compression that cloud services can apply to images destined for a specific user with known color vision deficiencies.

Image Compression Quantization

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