https://github.com/Darg-Iztech/gender-prediction-from-tweets
공식 코드Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Age and gender classification is a dual-task of identifying the age and gender of a person from an image or video.
<span style="color:grey; opacity: 0.6">( Image credit: Multi-Expert Gender Classification on Age Group by Integrating Deep Neural Networks )</span>
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression
Rank consistent ordinal regression for neural networks with application to age estimation
Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling
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SpanEmo: Casting Multi-label Emotion Classification as Span-prediction
Multimodal Age and Gender Classification Using Ear and Profile Face Images
Unified and Multilingual Author Profiling for Detecting Haters
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Moving Window Regression: A Novel Approach to Ordinal Regression
Generalizing MLPs With Dropouts, Batch Normalization, and Skip Connections
Preventing Author Profiling through Zero-Shot Multilingual Back-Translation
MiVOLO: Multi-input Transformer for Age and Gender Estimation
MiVOLO: Multi-input Transformer for Age and Gender Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.