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Found 6 papers, 1 papers with code
SynerMix: Synergistic Mixup Solution for Enhanced Intra-Class Cohesion and Inter-Class Separability in Image Classification
It also surpasses the top-performer of either Manifold MixUp or SynerMix-Intra by 0. 12% to 5. 16%, with an average gain of 1. 11%.
Inferring gender from name: a large scale performance evaluation study
While inferring gender from name may raise some ethical questions, the lack of viable alternatives means that researchers have to resort to such approaches when the goal justifies the means - in the majority of such studies the goal is to examine patterns and determinants of gender disparities.
Distances to molecular clouds in the second Galactic quadrant
We present distances to 76 medium-sized molecular clouds and an extra large-scale one in the second Galactic quadrant ($104. 75^\circ <l<150. 25^\circ $ and $|b|<5. 25^\circ$), 73 of which are accurately measured for the first time.
Astrophysics of Galaxies
Providing Actionable Feedback in Hiring Marketplaces using Generative Adversarial Networks
Machine learning predictors have been increasingly applied in production settings, including in one of the world's largest hiring platforms, Hired, to provide a better candidate and recruiter experience.
CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets
The prevalence of machine learning models in various industries has led to growing demands for model interpretability and for the ability to provide meaningful recourse to users.
Search by Ideal Candidates: Next Generation of Talent Search at LinkedIn
This new system only needs the searcher to input one or several examples of suitable candidates for the position.
