{"url":"/task/gender-classification","name":"Gender Classification","slug":"gender-classification","description_markdown":null,"categories":[],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":150,"papers_with_code":32,"benchmarks":0,"benchmark_tables_in_archive":0,"benchmark_tables_shown":0,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":5,"subtasks":0,"parent_tasks":0},"benchmarks":[],"datasets":[{"url":"/dataset/imdb-wiki-1","name":"IMDB-WIKI","full_name":"","num_papers_in_archive":73},{"url":"/dataset/psymo","name":"PsyMo","full_name":"PsyMo: A Dataset for Estimating Self-Reported Psychological Traits from Gait","num_papers_in_archive":4},{"url":"/dataset/bn-authprof","name":"BN-AuthProf","full_name":"Bangla Author Profiling Dataset","num_papers_in_archive":1},{"url":"/dataset/inagvad","name":"inaGVAD","full_name":"InaGVAD : a Challenging French TV and Radio Corpus annotated for Voice Activity Detection and Speaker Gender Segmentation","num_papers_in_archive":1},{"url":"/dataset/iust-personreid","name":"IUST_PersonReID","full_name":"","num_papers_in_archive":1}],"subtasks":[],"parent_tasks":[],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":30,"of":32,"tagged_in_all":150,"items":[{"url":"/paper/real-time-convolutional-neural-networks-for","title":"Real-time Convolutional Neural Networks for Emotion and Gender Classification","date":"2017-10-20","arxiv_id":"1710.07557","repositories_listed":18,"syntology":{"n":17,"n_ran":1,"n_unverified":16,"n_pointer_only":0}},{"url":"/paper/yare-gan-yet-another-resting-state-eeg-gan","title":"YARE-GAN: Yet Another Resting State EEG-GAN","date":"2025-03-04","arxiv_id":"2503.02636","repositories_listed":2,"syntology":null},{"url":"/paper/bias-resilient-neural-network","title":"Representation Learning with Statistical Independence to Mitigate Bias","date":"2019-10-08","arxiv_id":"1910.03676","repositories_listed":2,"syntology":null},{"url":"/paper/age-and-gender-classification-using","title":"Age and Gender Classification using Convolutional Neural Networks","date":"2015-10-26","arxiv_id":null,"repositories_listed":2,"syntology":null},{"url":"/paper/vanpy-voice-analysis-framework","title":"VANPY: Voice Analysis Framework","date":"2025-02-17","arxiv_id":"2502.17579","repositories_listed":1,"syntology":null},{"url":"/paper/graph-contrastive-learning-for-connectome","title":"Graph Contrastive Learning for Connectome Classification","date":"2025-02-07","arxiv_id":"2502.05109","repositories_listed":1,"syntology":null},{"url":"/paper/osum-advancing-open-speech-understanding","title":"OSUM: Advancing Open Speech Understanding Models with Limited Resources in Academia","date":"2025-01-23","arxiv_id":"2501.13306","repositories_listed":1,"syntology":null},{"url":"/paper/bn-authprof-benchmarking-machine-learning-for","title":"BN-AuthProf: Benchmarking Machine Learning for Bangla Author Profiling on Social Media Texts","date":"2024-12-03","arxiv_id":"2412.02058","repositories_listed":1,"syntology":null},{"url":"/paper/gecobench-a-gender-controlled-text-dataset","title":"GECOBench: A Gender-Controlled Text Dataset and Benchmark for Quantifying Biases in Explanations","date":"2024-06-17","arxiv_id":"2406.11547","repositories_listed":1,"syntology":null},{"url":"/paper/identiface-a-vgg-based-multimodal-facial","title":"IdentiFace : A VGG Based Multimodal Facial Biometric System","date":"2024-01-02","arxiv_id":"2401.01227","repositories_listed":1,"syntology":null},{"url":"/paper/deep-learning-applied-to-eeg-data-with","title":"Deep learning applied to EEG data with different montages using spatial attention","date":"2023-10-16","arxiv_id":"2310.10550","repositories_listed":1,"syntology":null},{"url":"/paper/beyond-skin-tone-a-multidimensional-measure","title":"Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color","date":"2023-09-10","arxiv_id":"2309.05148","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_unverified":0,"n_pointer_only":0}},{"url":"/paper/data-quality-dimensions-for-fair-ai","title":"Data quality dimensions for fair AI","date":"2023-05-11","arxiv_id":"2305.06967","repositories_listed":1,"syntology":null},{"url":"/paper/pretraining-ecg-data-with-adversarial-masking","title":"Pretraining ECG Data with Adversarial Masking Improves Model Generalizability for Data-Scarce Tasks","date":"2022-11-15","arxiv_id":"2211.07889","repositories_listed":1,"syntology":null},{"url":"/paper/vocal-breath-sound-based-gender","title":"Vocal Breath Sound Based Gender Classification","date":"2022-11-11","arxiv_id":"2211.06371","repositories_listed":1,"syntology":null},{"url":"/paper/analyzing-gender-representation-in-1","title":"Analyzing Gender Representation in Multilingual Models","date":"2022-04-20","arxiv_id":"2204.09168","repositories_listed":1,"syntology":null},{"url":"/paper/a-deep-learning-framework-to-reconstruct-face","title":"A Deep Learning Framework to Reconstruct Face under Mask","date":"2022-03-23","arxiv_id":"2203.12482","repositories_listed":1,"syntology":null},{"url":"/paper/aligning-eyes-between-humans-and-deep-neural","title":"Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment","date":"2022-02-06","arxiv_id":"2202.02838","repositories_listed":1,"syntology":null},{"url":"/paper/dynamic-adaptive-spatio-temporal-graph","title":"Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling","date":"2021-09-26","arxiv_id":"2109.12517","repositories_listed":1,"syntology":null},{"url":"/paper/the-facells-an-exploratory-study-about-lstm","title":"The FaCells. An Exploratory Study about LSTM Layers on Face Sketches Classifiers","date":"2021-02-22","arxiv_id":"2102.11361","repositories_listed":1,"syntology":null},{"url":"/paper/deep-learning-analysis-and-age-prediction","title":"Deep Learning Analysis and Age Prediction from Shoeprints","date":"2020-11-07","arxiv_id":"2011.03794","repositories_listed":1,"syntology":null},{"url":"/paper/adversarial-brain-multiplex-prediction-from-a","title":"Adversarial Brain Multiplex Prediction From a Single Network for High-Order Connectional Gender-Specific Brain Mapping","date":"2020-09-24","arxiv_id":"2009.11524","repositories_listed":1,"syntology":null},{"url":"/paper/towards-causal-benchmarking-of-bias-in-face","title":"Towards causal benchmarking of bias in face analysis algorithms","date":"2020-07-13","arxiv_id":"2007.06570","repositories_listed":1,"syntology":null},{"url":"/paper/search-based-repair-of-deep-neural-networks","title":"Arachne: Search Based Repair of Deep Neural Networks","date":"2019-12-28","arxiv_id":"1912.12463","repositories_listed":1,"syntology":null},{"url":"/paper/multimodal-age-and-gender-classification","title":"Multimodal Age and Gender Classification Using Ear and Profile Face Images","date":"2019-07-23","arxiv_id":"1907.10081","repositories_listed":1,"syntology":null},{"url":"/paper/differential-privacy-has-disparate-impact-on","title":"Differential Privacy Has Disparate Impact on Model Accuracy","date":"2019-05-28","arxiv_id":"1905.12101","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_unverified":0,"n_pointer_only":1}},{"url":"/paper/gender-classification-from-iris-texture","title":"Gender Classification from Iris Texture Images Using a New Set of Binary Statistical Image Features","date":"2019-05-01","arxiv_id":"1905.00372","repositories_listed":1,"syntology":null},{"url":"/paper/joint-estimation-of-age-and-gender-from","title":"Joint Estimation of Age and Gender from Unconstrained Face Images using Lightweight Multi-task CNN for Mobile Applications","date":"2018-06-06","arxiv_id":"1806.02023","repositories_listed":1,"syntology":null},{"url":"/paper/protecting-sensory-data-against-sensitive","title":"Protecting Sensory Data against Sensitive Inferences","date":"2018-02-21","arxiv_id":"1802.07802","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_unverified":1,"n_pointer_only":0}},{"url":"/paper/semi-adversarial-networks-convolutional","title":"Semi-Adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images","date":"2017-12-01","arxiv_id":"1712.00321","repositories_listed":1,"syntology":null}],"syntology_records":4,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}