Search Results for author:
Found 10 papers, 7 papers with code
AbstractDifferentiation.jl: Backend-Agnostic Differentiable Programming in Julia
No single Automatic Differentiation (AD) system is the optimal choice for all problems.
WEmbSim: A Simple yet Effective Metric for Image Captioning
The area of automatic image caption evaluation is still undergoing intensive research to address the needs of generating captions which can meet adequacy and fluency requirements.
LCEval: Learned Composite Metric for Caption Evaluation
Automatic evaluation metrics hold a fundamental importance in the development and fine-grained analysis of captioning systems.
DiffEqFlux.jl - A Julia Library for Neural Differential Equations
We show high-level functionality for defining neural ordinary differential equations (neural networks embedded into the differential equation) and describe the extra models in the Flux model zoo which includes neural stochastic differential equations.
DataDepsGenerators. jl: making reusing data easy by automatically generating DataDeps. jl registration code
DataDepsGenerators. jl is a tool written to help users of the Julia programming language(Bezanson, Edelman, Karpinski, & Shah, 2017), to observe best practices when making use of published datasets.
NNEval: Neural Network based Evaluation Metric for Image Captioning
The automatic evaluation of image descriptions is an intricate task, and it is highly important in the development and fine-grained analysis of captioning systems.
DataDeps.jl: Repeatable Data Setup for Replicable Data Science
We present DataDeps. jl: a julia package for the reproducible handling of static datasets to enhance the repeatability of scripts used in the data and computational sciences.
Software Engineering
NovelPerspective: Identifying Point of View Characters
Our tool detects the main character that each section is from the POV of, and allows the user to generate a new ebook with only those sections.
Learning-based Composite Metrics for Improved Caption Evaluation
The evaluation of image caption quality is a challenging task, which requires the assessment of two main aspects in a caption: adequacy and fluency.
Learning of Colors from Color Names: Distribution and Point Estimation
Color names are often made up of multiple words.
