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Gender Prediction

Papers

Showing 125 of 66 papers

TitleStatusHype
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender EstimationCode3
MiVOLO: Multi-input Transformer for Age and Gender EstimationCode2
Self-Supervised Transformers for fMRI representationCode1
Increasingly Packing Multiple Facial-Informatics Modules in A Unified Deep-Learning Model via Lifelong LearningCode1
A Large-Scale Rich Context Query and Recommendation Dataset in Online Knowledge-SharingCode1
Rank consistent ordinal regression for neural networks with application to age estimationCode1
Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XLCode1
Identity-Aware Multi-Sentence Video DescriptionCode1
Generalizing MLPs With Dropouts, Batch Normalization, and Skip ConnectionsCode1
Mitigating Gender Bias in Captioning SystemsCode1
Predicting Gender by First Name Using Character-level Machine LearningCode0
Bot and Gender Detection of Twitter Accounts Using Distortion and LSACode0
Robustness Disparities in Face DetectionCode0
Celebrity ProfilingCode0
Bleaching Text: Abstract Features for Cross-lingual Gender PredictionCode0
Real-time Convolutional Neural Networks for Emotion and Gender ClassificationCode0
A Fusion-based Gender Recognition Method Using Facial ImagesCode0
For the Underrepresented in Gender Bias Research: Chinese Name Gender Prediction with Heterogeneous Graph Attention NetworkCode0
Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine TranslationCode0
Faithful Target Attribute Prediction in Neural Machine TranslationCode0
Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted FeaturesCode0
Modeling the Temporal Nature of Human Behavior for Demographics PredictionCode0
Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems0
Age and Gender Prediction using Deep CNNs and Transfer Learning0
Exploring Disparity-Accuracy Trade-offs in Face Recognition Systems: The Role of Datasets, Architectures, and Loss Functions0
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