Gender Prediction
22 papers with code • 3 benchmarks • 6 datasets
AgeDB
M-VAD Names
IMDB-Clean
LAGENDA
UIT-ViNames
Latest papers
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation
Furthermore, we attempted various ways to fine-tune the ShareGPT4V model for this specific task, aiming to achieve state-of-the-art results in this particular challenge.
Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine Translation
We study the effect of tokenization on gender bias in machine translation, an aspect that has been largely overlooked in previous works.
MiVOLO: Multi-input Transformer for Age and Gender Estimation
Age and gender recognition in the wild is a highly challenging task: apart from the variability of conditions, pose complexities, and varying image quality, there are cases where the face is partially or completely occluded.
For the Underrepresented in Gender Bias Research: Chinese Name Gender Prediction with Heterogeneous Graph Attention Network
We open-source a more balanced multi-character dataset from an official source together with our code, hoping to help future research promoting gender equality.
Robustness Disparities in Face Detection
Many existing algorithmic audits examine the performance of these systems on later stage elements of facial analysis systems like facial recognition and age, emotion, or perceived gender prediction; however, a core component to these systems has been vastly understudied from a fairness perspective: face detection, sometimes called face localization.
Self-Supervised Transformers for fMRI representation
gonyrosenman/tff
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We present TFF, which is a Transformer framework for the analysis of functional Magnetic Resonance Imaging (fMRI) data.
Faithful Target Attribute Prediction in Neural Machine Translation
The training data used in NMT is rarely controlled with respect to specific attributes, such as word casing or gender, which can cause errors in translations.
Generalizing MLPs With Dropouts, Batch Normalization, and Skip Connections
A multilayer perceptron (MLP) is typically made of multiple fully connected layers with nonlinear activation functions.
Predicting Gender by First Name Using Character-level Machine Learning
roscibely/gender-prediction
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Predicting gender by the first name is not a simple task.
A Large-Scale Rich Context Query and Recommendation Dataset in Online Knowledge-Sharing
To the best of our knowledge, this is the largest real-world interaction dataset for personalized recommendation.
