| { |
| "meta": { |
| "total_competitions": 747, |
| "total_categories": 15, |
| "total_subcategories": 82 |
| }, |
| "categories": [ |
| { |
| "name": "Tabular / Structured Data", |
| "subcategories": [ |
| { |
| "id": "binary-classification", |
| "name": "Binary Classification", |
| "description": "Classify instances into one of two categories (yes/no, positive/negative, success/failure).", |
| "competitions": [ |
| { |
| "slug": "GiveMeSomeCredit", |
| "title": "Give Me Some Credit" |
| }, |
| { |
| "slug": "home-credit-default-risk", |
| "title": "Home Credit Default Risk" |
| }, |
| { |
| "slug": "amex-default-prediction", |
| "title": "American Express - Default Prediction" |
| }, |
| { |
| "slug": "allstate-purchase-prediction-challenge", |
| "title": "Allstate Purchase Prediction Challenge" |
| }, |
| { |
| "slug": "amazon-employee-access-challenge", |
| "title": "Amazon.com - Employee Access Challenge" |
| }, |
| { |
| "slug": "bioresponse", |
| "title": "Predicting a Biological Response" |
| }, |
| { |
| "slug": "bnp-paribas-cardif-claims-management", |
| "title": "BNP Paribas Cardif Claims Management" |
| }, |
| { |
| "slug": "playground-series-s3e2", |
| "title": "Binary Classification with a Tabular Stroke Prediction Dataset" |
| }, |
| { |
| "slug": "playground-series-s3e10", |
| "title": "Binary Classification with a Tabular Pulsar Dataset" |
| }, |
| { |
| "slug": "playground-series-s3e12", |
| "title": "Binary Classification with a Tabular Kidney Stone Prediction Dataset" |
| }, |
| { |
| "slug": "playground-series-s3e17", |
| "title": "Binary Classification of Machine Failures" |
| }, |
| { |
| "slug": "playground-series-s3e23", |
| "title": "Binary Classification with a Software Defects Dataset" |
| }, |
| { |
| "slug": "playground-series-s3e24", |
| "title": "Binary Prediction of Smoker Status using Bio-Signals" |
| }, |
| { |
| "slug": "playground-series-s4e1", |
| "title": "Binary Classification with a Bank Churn Dataset" |
| }, |
| { |
| "slug": "playground-series-s4e7", |
| "title": "Binary Classification of Insurance Cross Selling" |
| }, |
| { |
| "slug": "playground-series-s4e8", |
| "title": "Binary Prediction of Poisonous Mushrooms" |
| }, |
| { |
| "slug": "playground-series-s5e3", |
| "title": "Binary Prediction with a Rainfall Dataset" |
| }, |
| { |
| "slug": "playground-series-s5e8", |
| "title": "Binary Classification with a Bank Dataset" |
| }, |
| { |
| "slug": "IEEE-fraud-detection", |
| "title": "IEEE-fraud-detection" |
| }, |
| { |
| "slug": "avazu-ctr-prediction", |
| "title": "Click-Through Rate Prediction" |
| }, |
| { |
| "slug": "telecom-clients-prediction2", |
| "title": "\u041f\u0440\u043e\u0433\u043d\u043e\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u043e\u0442\u0442\u043e\u043a\u0430 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u0435\u0439" |
| }, |
| { |
| "slug": "kkbox-churn-prediction-challenge", |
| "title": "WSDM - KKBox's Churn Prediction Challenge" |
| }, |
| { |
| "slug": "loan-default-prediction", |
| "title": "Loan Default Prediction - Imperial College London" |
| }, |
| { |
| "slug": "porto-seguro-safe-driver-prediction", |
| "title": "Porto Seguro\u2019s Safe Driver Prediction" |
| }, |
| { |
| "slug": "talkingdata-adtracking-fraud-detection", |
| "title": "TalkingData AdTracking Fraud Detection Challenge" |
| }, |
| { |
| "slug": "microsoft-malware-prediction", |
| "title": "Microsoft Malware Prediction" |
| }, |
| { |
| "slug": "allstate-claims-severity", |
| "title": "Allstate Claims Severity" |
| }, |
| { |
| "slug": "homesite-quote-conversion", |
| "title": "Homesite Quote Conversion" |
| }, |
| { |
| "slug": "instant-gratification", |
| "title": "Instant Gratification" |
| }, |
| { |
| "slug": "riiid-test-answer-prediction", |
| "title": "Riiid Answer Correctness Prediction" |
| } |
| ] |
| }, |
| { |
| "id": "regression-continuous-prediction", |
| "name": "Regression - Continuous Value Prediction", |
| "description": "Predict continuous numerical values from structured features (prices, ratings, measurements, costs).", |
| "competitions": [ |
| { |
| "slug": "california-house-prices", |
| "title": "California House Prices" |
| }, |
| { |
| "slug": "job-salary-prediction", |
| "title": "Job Salary Prediction" |
| }, |
| { |
| "slug": "sberbank-russian-housing-market", |
| "title": "Sberbank Russian Housing Market" |
| }, |
| { |
| "slug": "zillow-prize-1", |
| "title": "Zillow Prize: Zillow\u2019s Home Value Prediction (Zestimate)" |
| }, |
| { |
| "slug": "mercari-price-suggestion-challenge", |
| "title": "Mercari Price Suggestion Challenge" |
| }, |
| { |
| "slug": "playground-series-s3e1", |
| "title": "Regression with a Tabular California Housing Dataset" |
| }, |
| { |
| "slug": "playground-series-s3e11", |
| "title": "Regression with a Tabular Media Campaign Cost Dataset" |
| }, |
| { |
| "slug": "playground-series-s3e14", |
| "title": "Regression with a Wild Blueberry Yield Dataset" |
| }, |
| { |
| "slug": "playground-series-s3e16", |
| "title": "Regression with a Crab Age Dataset" |
| }, |
| { |
| "slug": "playground-series-s3e25", |
| "title": "Regression with a Mohs Hardness Dataset" |
| }, |
| { |
| "slug": "playground-series-s4e4", |
| "title": "Regression with an Abalone Dataset" |
| }, |
| { |
| "slug": "playground-series-s4e9", |
| "title": "Regression of Used Car Prices" |
| }, |
| { |
| "slug": "playground-series-s4e12", |
| "title": "Regression with an Insurance Dataset" |
| }, |
| { |
| "slug": "playground-series-s5e5", |
| "title": "Predict Calorie Expenditure" |
| }, |
| { |
| "slug": "playground-series-s5e9", |
| "title": "Predicting the Beats-per-Minute of Songs" |
| }, |
| { |
| "slug": "playground-series-s6e1", |
| "title": "Predicting Student Test Scores" |
| }, |
| { |
| "slug": "nmlo-contest-3", |
| "title": "NMLO Contest 3 - Regression" |
| }, |
| { |
| "slug": "tabular-playground-series-apr-2021", |
| "title": "Tabular Playground Series - Apr 2021" |
| }, |
| { |
| "slug": "tabular-playground-series-feb-2021", |
| "title": "Tabular Playground Series - Feb 2021" |
| }, |
| { |
| "slug": "tabular-playground-series-jan-2021", |
| "title": "Tabular Playground Series - Jan 2021" |
| }, |
| { |
| "slug": "machinery-tube-pricing", |
| "title": "Machinery Tube Pricing" |
| }, |
| { |
| "slug": "mds-ppp", |
| "title": "MDS Property Price Prediction" |
| }, |
| { |
| "slug": "airbnblala", |
| "title": "How much for your Airbnb?" |
| }, |
| { |
| "slug": "predict-movie-ratings", |
| "title": "Predict Movie Ratings" |
| }, |
| { |
| "slug": "predict-movie-ratings-v22", |
| "title": "Predict Movie Ratings" |
| }, |
| { |
| "slug": "18011765watermelon-price", |
| "title": "SejongAI.\ud140\ud504\ub85c\uc81d\ud2b8.[\uc218\ubc15\uac00\uaca9\uc608\uce21].watermelon_price" |
| }, |
| { |
| "slug": "white-wine-quality-evalutation", |
| "title": "Sejong AI.Term Project.[WINE Quality Assessment]" |
| }, |
| { |
| "slug": "library-project", |
| "title": "SejongAI.\ud140\ud504\ub85c\uc81d\ud2b8.\uacf5\uacf5\ub3c4\uc11c\uad00 \uc608\uc0b0 \uc608\uce21\ud558\uae30" |
| }, |
| { |
| "slug": "ventilator-pressure-prediction", |
| "title": "Google Brain - Ventilator Pressure Prediction" |
| }, |
| { |
| "slug": "liberty-mutual-fire-peril", |
| "title": "Liberty Mutual Group - Fire Peril Loss Cost" |
| } |
| ] |
| }, |
| { |
| "id": "niche-specialized", |
| "name": "Niche & Specialized Predictions", |
| "description": "Domain-specific competitions with unique task structures.", |
| "competitions": [ |
| { |
| "slug": "parkinglot", |
| "title": "Parking lot" |
| }, |
| { |
| "slug": "msuvisits", |
| "title": "\u041f\u0440\u043e\u0433\u043d\u043e\u0437 \u0432\u0438\u0437\u0438\u0442\u043e\u0432 (\u041c\u041c\u041f, \u0412\u041c\u041a, \u041c\u0413\u0423)" |
| }, |
| { |
| "slug": "pzadbabki", |
| "title": "\u041f\u0440\u0435\u0434\u0441\u043a\u0430\u0437\u0430\u043d\u0438\u0435 \u0437\u0430\u0442\u0440\u0430\u0442" |
| }, |
| { |
| "slug": "qualityeducation", |
| "title": "ML Olympiad - QUALITY EDUCATION" |
| }, |
| { |
| "slug": "nytfug", |
| "title": "ML Olympiad - NYTFUG" |
| }, |
| { |
| "slug": "unimelb", |
| "title": "Predict Grant Applications" |
| }, |
| { |
| "slug": "can-we-predict-voting-outcomes", |
| "title": "Can we predict voting outcomes?" |
| }, |
| { |
| "slug": "us-census-challenge", |
| "title": "U.S. Census Return Rate Challenge" |
| }, |
| { |
| "slug": "cir-prospect", |
| "title": "Follow the Money: Investigative Reporting Prospect" |
| }, |
| { |
| "slug": "harvard-business-review-vision-statement-prospect", |
| "title": "Harvard Business Review 'Vision Statement' Prospect" |
| }, |
| { |
| "slug": "DATACUP-ROUND2", |
| "title": "DATACUP" |
| }, |
| { |
| "slug": "yelp-recruiting", |
| "title": "Yelp Recruiting Competition" |
| }, |
| { |
| "slug": "beyond-analysis", |
| "title": "Beyond Analysis" |
| }, |
| { |
| "slug": "introducing-kaggle-scripts", |
| "title": "Introducing Kaggle Scripts" |
| }, |
| { |
| "slug": "random-number-grand-challenge", |
| "title": "The Random Number Grand Challenge" |
| }, |
| { |
| "slug": "model-t4", |
| "title": "Burn CPU Burn" |
| }, |
| { |
| "slug": "mf-accelerator", |
| "title": "MegaFon Accelerator" |
| }, |
| { |
| "slug": "emc-data-science", |
| "title": "EMC Israel Data Science Challenge" |
| }, |
| { |
| "slug": "nmlo-contest-1", |
| "title": "NMLO Contest 1 - Decision Trees/Random Forests" |
| }, |
| { |
| "slug": "pakdd-cup-2014", |
| "title": "PAKDD 2014 - ASUS Malfunctional Components Prediction" |
| }, |
| { |
| "slug": "telstra-recruiting-network", |
| "title": "Telstra Network Disruptions" |
| }, |
| { |
| "slug": "predicting-red-hat-business-value", |
| "title": "Predicting Red Hat Business Value" |
| }, |
| { |
| "slug": "products-10k", |
| "title": "Products-10K" |
| }, |
| { |
| "slug": "promoter-site-prediction", |
| "title": "Promoter site prediction" |
| }, |
| { |
| "slug": "vsb-power-line-fault-detection", |
| "title": "VSB Power Line Fault Detection" |
| } |
| ] |
| }, |
| { |
| "id": "playground-series-mixed", |
| "name": "Tabular Playground Series - Mixed Tasks", |
| "description": "Educational benchmark competitions with diverse regression and classification tasks.", |
| "competitions": [ |
| { |
| "slug": "tabular-playground-series-apr-2021", |
| "title": "Tabular Playground Series - Apr 2021" |
| }, |
| { |
| "slug": "tabular-playground-series-apr-2022", |
| "title": "Tabular Playground Series - Apr 2022" |
| }, |
| { |
| "slug": "tabular-playground-series-aug-2021", |
| "title": "Tabular Playground Series - Aug 2021" |
| }, |
| { |
| "slug": "tabular-playground-series-aug-2022", |
| "title": "Tabular Playground Series - Aug 2022" |
| }, |
| { |
| "slug": "tabular-playground-series-dec-2021", |
| "title": "Tabular Playground Series - Dec 2021" |
| }, |
| { |
| "slug": "tabular-playground-series-feb-2021", |
| "title": "Tabular Playground Series - Feb 2021" |
| }, |
| { |
| "slug": "tabular-playground-series-feb-2022", |
| "title": "Tabular Playground Series - Feb 2022" |
| }, |
| { |
| "slug": "tabular-playground-series-jan-2021", |
| "title": "Tabular Playground Series - Jan 2021" |
| }, |
| { |
| "slug": "tabular-playground-series-jan-2022", |
| "title": "Tabular Playground Series - Jan 2022" |
| }, |
| { |
| "slug": "tabular-playground-series-jul-2021", |
| "title": "Tabular Playground Series - Jul 2021" |
| }, |
| { |
| "slug": "tabular-playground-series-jul-2022", |
| "title": "Tabular Playground Series - Jul 2022" |
| }, |
| { |
| "slug": "tabular-playground-series-jun-2021", |
| "title": "Tabular Playground Series - Jun 2021" |
| }, |
| { |
| "slug": "tabular-playground-series-jun-2022", |
| "title": "Tabular Playground Series - Jun 2022" |
| }, |
| { |
| "slug": "tabular-playground-series-mar-2021", |
| "title": "Tabular Playground Series - Mar 2021" |
| }, |
| { |
| "slug": "tabular-playground-series-mar-2022", |
| "title": "Tabular Playground Series - Mar 2022" |
| }, |
| { |
| "slug": "tabular-playground-series-may-2021", |
| "title": "Tabular Playground Series - May 2021" |
| }, |
| { |
| "slug": "tabular-playground-series-may-2022", |
| "title": "Tabular Playground Series - May 2022" |
| }, |
| { |
| "slug": "tabular-playground-series-nov-2021", |
| "title": "Tabular Playground Series - Nov 2021" |
| }, |
| { |
| "slug": "tabular-playground-series-nov-2022", |
| "title": "Tabular Playground Series - Nov 2022" |
| }, |
| { |
| "slug": "tabular-playground-series-oct-2021", |
| "title": "Tabular Playground Series - Oct 2021" |
| }, |
| { |
| "slug": "tabular-playground-series-oct-2022", |
| "title": "Tabular Playground Series - Oct 2022" |
| }, |
| { |
| "slug": "tabular-playground-series-sep-2021", |
| "title": "Tabular Playground Series - Sep 2021" |
| }, |
| { |
| "slug": "tabular-playground-series-sep-2022", |
| "title": "Tabular Playground Series - Sep 2022" |
| } |
| ] |
| }, |
| { |
| "id": "multi-class-classification", |
| "name": "Multi-Class Classification", |
| "description": "Classify instances into one of three or more discrete categories.", |
| "competitions": [ |
| { |
| "slug": "sf-crime", |
| "title": "San Francisco Crime Classification" |
| }, |
| { |
| "slug": "ghouls-goblins-and-ghosts-boo", |
| "title": "Ghouls, Goblins, and Ghosts... Boo!" |
| }, |
| { |
| "slug": "otto-group-product-classification-challenge", |
| "title": "Otto Group Product Classification Challenge" |
| }, |
| { |
| "slug": "shelter-animal-outcomes", |
| "title": "Shelter Animal Outcomes" |
| }, |
| { |
| "slug": "kobe-bryant-shot-selection", |
| "title": "Kobe Bryant Shot Selection" |
| }, |
| { |
| "slug": "forest-cover-type-prediction", |
| "title": "Forest Cover Type Prediction" |
| }, |
| { |
| "slug": "forest-cover-type-kernels-only", |
| "title": "Forest Cover Type (Kernels Only)" |
| }, |
| { |
| "slug": "playground-series-s4e2", |
| "title": "Multi-Class Prediction of Obesity Risk" |
| }, |
| { |
| "slug": "playground-series-s4e6", |
| "title": "Classification with an Academic Success Dataset" |
| }, |
| { |
| "slug": "playground-series-s3e13", |
| "title": "Classification with a Tabular Vector Borne Disease Dataset" |
| }, |
| { |
| "slug": "playground-series-s3e26", |
| "title": "Multi-Class Prediction of Cirrhosis Outcomes" |
| }, |
| { |
| "slug": "walmart-recruiting-trip-type-classification", |
| "title": "Walmart Recruiting: Trip Type Classification" |
| }, |
| { |
| "slug": "cat-in-the-dat", |
| "title": "Categorical Feature Encoding Challenge" |
| }, |
| { |
| "slug": "cat-in-the-dat-ii", |
| "title": "Categorical Feature Encoding Challenge II" |
| }, |
| { |
| "slug": "machine-learning-on-adult-dataset-clone", |
| "title": "Machine Learning on Adult Dataset" |
| }, |
| { |
| "slug": "data-science-london-scikit-learn", |
| "title": "Data Science London + Scikit-learn" |
| }, |
| { |
| "slug": "city-commercialchange-analysis", |
| "title": "\uc790\uce58\uad6c\ubcc4 \uc0c1\uad8c\ubcc0\ud654 \ubd84\ub958" |
| }, |
| { |
| "slug": "2020aidiscomfort", |
| "title": "SejongAI.\ud140\ud504\ub85c\uc81d\ud2b8.[\uae30\uc0c1\uc0c1\ud0dc\uc5d0 \ub530\ub978 \ubd88\ucf8c\uc9c0\uc218 \ubd84\ub958]" |
| }, |
| { |
| "slug": "defense-project", |
| "title": "\uc601\uc0c1\ubb3c \uc2dc\uccad\uc2dc \ub1cc\ud30c\uc5d0 \ub300\ud55c \uac10\uc815\ubd84\ub958" |
| }, |
| { |
| "slug": "ai-project-foodpoisoning", |
| "title": "SejongAI.\ud140\ud504\ub85c\uc81d\ud2b8.[\ud654\uc591\ub3d9 \uc2dd\uc911\ub3c5 \uc9c0\uc218 \uc608\uce21]" |
| }, |
| { |
| "slug": "sejongaiclasspredicteq", |
| "title": "sejong ai class predict earthquake" |
| } |
| ] |
| }, |
| { |
| "id": "sports-march-madness", |
| "name": "Sports Prediction - March Madness Brackets", |
| "description": "Predict NCAA basketball tournament outcomes and bracket progression.", |
| "competitions": [ |
| { |
| "slug": "march-machine-learning-mania-2014", |
| "title": "March Machine Learning Mania" |
| }, |
| { |
| "slug": "march-machine-learning-mania-2015", |
| "title": "March Machine Learning Mania 2015" |
| }, |
| { |
| "slug": "march-machine-learning-mania-2016", |
| "title": "March Machine Learning Mania 2016" |
| }, |
| { |
| "slug": "march-machine-learning-mania-2017", |
| "title": "March Machine Learning Mania 2017" |
| }, |
| { |
| "slug": "march-machine-learning-mania-2023", |
| "title": "March Machine Learning Mania 2023" |
| }, |
| { |
| "slug": "march-machine-learning-mania-2024", |
| "title": "March Machine Learning Mania 2024" |
| }, |
| { |
| "slug": "march-machine-learning-mania-2025", |
| "title": "March Machine Learning Mania 2025" |
| }, |
| { |
| "slug": "ncaam-march-mania-2021", |
| "title": "March Machine Learning Mania 2021 - NCAAM" |
| }, |
| { |
| "slug": "ncaaw-march-mania-2021", |
| "title": "March Machine Learning Mania 2021 - NCAAW" |
| }, |
| { |
| "slug": "ncaaw-march-mania-2021-spread", |
| "title": "March Machine Learning Mania 2021 - NCAAW - Spread" |
| }, |
| { |
| "slug": "mens-machine-learning-competition-2018", |
| "title": "Google Cloud & NCAA\u00ae ML Competition 2018-Men's" |
| }, |
| { |
| "slug": "mens-machine-learning-competition-2019", |
| "title": "Google Cloud & NCAA\u00ae ML Competition 2019-Men's" |
| }, |
| { |
| "slug": "womens-machine-learning-competition-2018", |
| "title": "Google Cloud & NCAA\u00ae ML Competition 2018-Women's" |
| }, |
| { |
| "slug": "womens-machine-learning-competition-2019", |
| "title": "Google Cloud & NCAA\u00ae ML Competition 2019-Women's" |
| }, |
| { |
| "slug": "mens-march-mania-2022", |
| "title": "March Machine Learning Mania 2022 - Men\u2019s" |
| }, |
| { |
| "slug": "womens-march-mania-2022", |
| "title": "March Machine Learning Mania 2022 - Women's" |
| }, |
| { |
| "slug": "google-cloud-ncaa-march-madness-2020-division-1-mens-tournament", |
| "title": "Google Cloud & NCAA\u00ae ML Competition 2020-NCAAM" |
| }, |
| { |
| "slug": "google-cloud-ncaa-march-madness-2020-division-1-womens-tournament", |
| "title": "Google Cloud & NCAA\u00ae ML Competition 2020-NCAAW" |
| } |
| ] |
| }, |
| { |
| "id": "hackathon-term-projects", |
| "name": "Hackathons & Term Projects", |
| "description": "Educational competitions and hackathons with diverse predictive tasks.", |
| "competitions": [ |
| { |
| "slug": "2019-1st-ml-month-with-kakr", |
| "title": "2019 1st ML month with KaKR" |
| }, |
| { |
| "slug": "2019-3rd-ml-month-with-kakr", |
| "title": "2019 3rd ML month with KaKR" |
| }, |
| { |
| "slug": "2019-ml-finalproject", |
| "title": "2019.Fall.PatternRecognition" |
| }, |
| { |
| "slug": "2020-ai-termproject", |
| "title": "2020-AI-TermProject" |
| }, |
| { |
| "slug": "MusicHackathon", |
| "title": "EMI Music Data Science Hackathon - July 21st - 24 hours" |
| }, |
| { |
| "slug": "kaggledatafest", |
| "title": "Kaggle Datafest Hackathon" |
| }, |
| { |
| "slug": "evohackaton", |
| "title": "INT20H Hackathon" |
| }, |
| { |
| "slug": "techuklon-int20h", |
| "title": "INT20H 2022 Hackathon" |
| }, |
| { |
| "slug": "applications-of-deep-learningwustl-spring-2019", |
| "title": "Applications of Deep Learning(WUSTL, Spring 2019)" |
| }, |
| { |
| "slug": "wustl-t81-558-washu-deep-learning-fall-2018", |
| "title": "Applications of Deep Learning(WUSTL, Fall 2018)" |
| }, |
| { |
| "slug": "bgurcourse2019", |
| "title": "BGU-Rcourse" |
| }, |
| { |
| "slug": "ml2021spring-hw1", |
| "title": "ML2021Spring-hw1" |
| }, |
| { |
| "slug": "sugiura-lab-first-competition", |
| "title": "lab-training1" |
| }, |
| { |
| "slug": "xiantao001", |
| "title": "\u4ed9\u6843\u6570\u636e\u5b66\u9662\u57f9\u8bad\u6bd4\u8d5b001" |
| } |
| ] |
| }, |
| { |
| "id": "churn-retention-prediction", |
| "name": "Churn & Retention Prediction", |
| "description": "Predict customer churn, retention, or attrition in telecom, banking, or subscription services.", |
| "competitions": [ |
| { |
| "slug": "kkbox-churn-prediction-challenge", |
| "title": "WSDM - KKBox's Churn Prediction Challenge" |
| }, |
| { |
| "slug": "telecom-clients-prediction2", |
| "title": "\u041f\u0440\u043e\u0433\u043d\u043e\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u043e\u0442\u0442\u043e\u043a\u0430 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u0435\u0439" |
| }, |
| { |
| "slug": "retencin-en-telefona-mvil-2022-01", |
| "title": "Retenci\u00f3n en telefon\u00eda m\u00f3vil 2022-01" |
| }, |
| { |
| "slug": "springleaf-marketing-response", |
| "title": "Springleaf Marketing Response" |
| }, |
| { |
| "slug": "santander-customer-satisfaction", |
| "title": "Santander Customer Satisfaction" |
| }, |
| { |
| "slug": "dunnhumbychallenge", |
| "title": "dunnhumby's Shopper Challenge" |
| }, |
| { |
| "slug": "acquire-valued-shoppers-challenge", |
| "title": "Acquire Valued Shoppers Challenge" |
| }, |
| { |
| "slug": "predicting-cab-booking-cancellations", |
| "title": "Predicting cab booking cancellations" |
| }, |
| { |
| "slug": "two-sigma-connect-rental-listing-inquiries", |
| "title": "Two Sigma Connect: Rental Listing Inquiries" |
| } |
| ] |
| }, |
| { |
| "id": "datathon-competitions", |
| "name": "Datathons & Special Events", |
| "description": "Comprehensive data science competitions hosted by organizations.", |
| "competitions": [ |
| { |
| "slug": "dsm2017", |
| "title": "Melbourne Datathon 2017" |
| }, |
| { |
| "slug": "melbourne-datathon-2016", |
| "title": "Melbourne Datathon 2016" |
| }, |
| { |
| "slug": "WiDS Datathon 2019", |
| "title": "WiDS Datathon 2019" |
| }, |
| { |
| "slug": "widsdatathon2020", |
| "title": "WiDS Datathon 2020" |
| }, |
| { |
| "slug": "widsdatathon2021", |
| "title": "WiDS Datathon 2021" |
| }, |
| { |
| "slug": "widsdatathon2024-challenge1", |
| "title": "WiDS Datathon 2024 Challenge #1" |
| }, |
| { |
| "slug": "MusicHackathon", |
| "title": "EMI Music Data Science Hackathon - July 21st - 24 hours" |
| }, |
| { |
| "slug": "banco-galicia-dataton-2019", |
| "title": "Dataton - Banco Galicia - 2019" |
| }, |
| { |
| "slug": "kaggledatafest", |
| "title": "Kaggle Datafest Hackathon" |
| } |
| ] |
| }, |
| { |
| "id": "health-medical-prediction", |
| "name": "Health & Medical Prediction", |
| "description": "Predict health outcomes, disease risk, patient conditions, or medical events.", |
| "competitions": [ |
| { |
| "slug": "playground-series-s3e2", |
| "title": "Binary Classification with a Tabular Stroke Prediction Dataset" |
| }, |
| { |
| "slug": "playground-series-s3e10", |
| "title": "Binary Classification with a Tabular Pulsar Dataset" |
| }, |
| { |
| "slug": "playground-series-s3e12", |
| "title": "Binary Classification with a Tabular Kidney Stone Prediction Dataset" |
| }, |
| { |
| "slug": "playground-series-s3e13", |
| "title": "Classification with a Tabular Vector Borne Disease Dataset" |
| }, |
| { |
| "slug": "playground-series-s3e22", |
| "title": "Predict Health Outcomes of Horses" |
| }, |
| { |
| "slug": "playground-series-s4e11", |
| "title": "Exploring Mental Health Data" |
| }, |
| { |
| "slug": "predict-west-nile-virus", |
| "title": "West Nile Virus Prediction" |
| }, |
| { |
| "slug": "predict-student-performance-from-game-play", |
| "title": "Predict Student Performance from Game Play" |
| }, |
| { |
| "slug": "reducing-commercial-aviation-fatalities", |
| "title": "Reducing Commercial Aviation Fatalities" |
| } |
| ] |
| }, |
| { |
| "id": "market-retail-commerce", |
| "name": "Market, Retail & E-Commerce", |
| "description": "Predict retail sales, market trends, e-commerce metrics, or consumer behavior.", |
| "competitions": [ |
| { |
| "slug": "online-sales", |
| "title": "Online Product Sales" |
| }, |
| { |
| "slug": "basket-analysis", |
| "title": "Market Basket Analysis" |
| }, |
| { |
| "slug": "dunnhumbychallenge", |
| "title": "dunnhumby's Shopper Challenge" |
| }, |
| { |
| "slug": "acquire-valued-shoppers-challenge", |
| "title": "Acquire Valued Shoppers Challenge" |
| }, |
| { |
| "slug": "walmart-recruiting-trip-type-classification", |
| "title": "Walmart Recruiting: Trip Type Classification" |
| }, |
| { |
| "slug": "otto-group-product-classification-challenge", |
| "title": "Otto Group Product Classification Challenge" |
| }, |
| { |
| "slug": "mercari-price-suggestion-challenge", |
| "title": "Mercari Price Suggestion Challenge" |
| }, |
| { |
| "slug": "dato-native", |
| "title": "Truly Native?" |
| } |
| ] |
| }, |
| { |
| "id": "rating-ranking-prediction", |
| "name": "Rating & Ranking Prediction", |
| "description": "Predict player ratings, rankings, Elo scores, or performance metrics.", |
| "competitions": [ |
| { |
| "slug": "chess", |
| "title": "Chess ratings - Elo versus the Rest of the World" |
| }, |
| { |
| "slug": "ChessRatings2", |
| "title": "Deloitte/FIDE Chess Rating Challenge" |
| }, |
| { |
| "slug": "finding-elo", |
| "title": "Finding Elo" |
| }, |
| { |
| "slug": "scrabble-player-rating", |
| "title": "Scrabble Player Rating" |
| }, |
| { |
| "slug": "18011854kbopredicton", |
| "title": "KBO \ud0c0\uc790\uc758 \ub2e4\uc74c\uc2dc\uc98c \ud0c0\uc11d\uc218 \uc608\uce21" |
| }, |
| { |
| "slug": "lol-prediction", |
| "title": "League of Legends Winner Prediction" |
| }, |
| { |
| "slug": "kobe-bryant-shot-selection", |
| "title": "Kobe Bryant Shot Selection" |
| }, |
| { |
| "slug": "horse-win-rate", |
| "title": "SejongAI.\ud140\ud504\ub85c\uc81d\ud2b8.[Horse Win-Rate]" |
| } |
| ] |
| }, |
| { |
| "id": "agriculture-environmental", |
| "name": "Agriculture & Environmental Data", |
| "description": "Predict agricultural yields, soil properties, or environmental conditions.", |
| "competitions": [ |
| { |
| "slug": "afsis-soil-properties", |
| "title": "Africa Soil Property Prediction Challenge" |
| }, |
| { |
| "slug": "2020soil", |
| "title": "2020ai_soil" |
| }, |
| { |
| "slug": "copper-analysis", |
| "title": "TUT Copper Analysis Challenge" |
| }, |
| { |
| "slug": "playground-series-s3e14", |
| "title": "Regression with a Wild Blueberry Yield Dataset" |
| }, |
| { |
| "slug": "playground-series-s4e5", |
| "title": "Regression with a Flood Prediction Dataset" |
| }, |
| { |
| "slug": "playground-series-s5e3", |
| "title": "Binary Prediction with a Rainfall Dataset" |
| }, |
| { |
| "slug": "predict-west-nile-virus", |
| "title": "West Nile Virus Prediction" |
| } |
| ] |
| }, |
| { |
| "id": "bioscience-molecular", |
| "name": "Bioscience & Molecular Data", |
| "description": "Predict biological responses, protein functions, or molecular activity.", |
| "competitions": [ |
| { |
| "slug": "MerckActivity", |
| "title": "Merck Molecular Activity Challenge" |
| }, |
| { |
| "slug": "bioresponse", |
| "title": "Predicting a Biological Response" |
| }, |
| { |
| "slug": "cafa-5-protein-function-prediction", |
| "title": "CAFA 5 Protein Function Prediction" |
| }, |
| { |
| "slug": "cmi-detect-behavior-with-sensor-data", |
| "title": "CMI - Detect Behavior with Sensor Data" |
| }, |
| { |
| "slug": "accelerometer-biometric-competition", |
| "title": "Accelerometer Biometric Competition" |
| }, |
| { |
| "slug": "dig-4-bio-raman-transfer-learning-challenge", |
| "title": "Dig4Bio Raman Transfer Learning Challenge" |
| }, |
| { |
| "slug": "compomics2018", |
| "title": "D012554 (2017-2018)" |
| } |
| ] |
| }, |
| { |
| "id": "feature-engineering-challenge", |
| "name": "Feature Engineering & Representation Learning", |
| "description": "Focus on discovering, creating, or learning feature representations.", |
| "competitions": [ |
| { |
| "slug": "SemiSupervisedFeatureLearning", |
| "title": "Semi-Supervised Feature Learning" |
| }, |
| { |
| "slug": "challenges-in-representation-learning-the-black-box-learning-challenge", |
| "title": "Challenges in Representation Learning: The Black Box Learning Challenge" |
| }, |
| { |
| "slug": "playground-series-s3e15", |
| "title": "Feature Imputation with a Heat Flux Dataset" |
| }, |
| { |
| "slug": "playground-series-s3e21", |
| "title": "Improve a Fixed Model the Data-Centric Way!" |
| }, |
| { |
| "slug": "dont-overfit-ii", |
| "title": "Don't Overfit! II" |
| }, |
| { |
| "slug": "overfitting", |
| "title": "Don't Overfit!" |
| }, |
| { |
| "slug": "instant-gratification", |
| "title": "Instant Gratification" |
| } |
| ] |
| }, |
| { |
| "id": "financial-credit-risk", |
| "name": "Financial & Credit Risk Assessment", |
| "description": "Assess credit risk, loan default probability, and financial institution risk metrics.", |
| "competitions": [ |
| { |
| "slug": "GiveMeSomeCredit", |
| "title": "Give Me Some Credit" |
| }, |
| { |
| "slug": "home-credit-default-risk", |
| "title": "Home Credit Default Risk" |
| }, |
| { |
| "slug": "amex-default-prediction", |
| "title": "American Express - Default Prediction" |
| }, |
| { |
| "slug": "loan-default-prediction", |
| "title": "Loan Default Prediction - Imperial College London" |
| }, |
| { |
| "slug": "prudential-life-insurance-assessment", |
| "title": "Prudential Life Insurance Assessment" |
| }, |
| { |
| "slug": "actuarial-loss-estimation", |
| "title": "Actuarial loss prediction" |
| }, |
| { |
| "slug": "2020-11-20", |
| "title": "Financial Engineering Competition (3/3)" |
| } |
| ] |
| }, |
| { |
| "id": "fraud-anomaly-detection", |
| "name": "Fraud & Anomaly Detection", |
| "description": "Detect fraudulent transactions, intrusions, anomalies, or unusual patterns in data.", |
| "competitions": [ |
| { |
| "slug": "IEEE-fraud-detection", |
| "title": "IEEE-fraud-detection" |
| }, |
| { |
| "slug": "talkingdata-adtracking-fraud-detection", |
| "title": "TalkingData AdTracking Fraud Detection Challenge" |
| }, |
| { |
| "slug": "catch-me-if-you-can-intruder-detection-through-webpage-session-tracking2", |
| "title": "Catch Me If You Can (\"Alice\")" |
| }, |
| { |
| "slug": "energy-anomaly-detection", |
| "title": "Large-scale Energy Anomaly Detection (LEAD)" |
| }, |
| { |
| "slug": "joke-rating-predicition", |
| "title": "Anomaly Detection Challenge: Predict the jokes' rating! (fixed)" |
| }, |
| { |
| "slug": "online-sales", |
| "title": "Online Product Sales" |
| }, |
| { |
| "slug": "liverpool-ion-switching", |
| "title": "University of Liverpool - Ion Switching" |
| } |
| ] |
| }, |
| { |
| "id": "recommendation-engagement", |
| "name": "Recommendation & User Engagement", |
| "description": "Predict user engagement, recommendations, or content interaction metrics.", |
| "competitions": [ |
| { |
| "slug": "two-sigma-connect-rental-listing-inquiries", |
| "title": "Two Sigma Connect: Rental Listing Inquiries" |
| }, |
| { |
| "slug": "avito-demand-prediction", |
| "title": "Avito Demand Prediction Challenge" |
| }, |
| { |
| "slug": "avito-context-ad-clicks", |
| "title": "Avito Context Ad Clicks" |
| }, |
| { |
| "slug": "criteo-display-ad-challenge", |
| "title": "Display Advertising Challenge" |
| }, |
| { |
| "slug": "kaggle-pog-series-s01e01", |
| "title": "Predict Youtube Video Likes (Pog Series #1)" |
| }, |
| { |
| "slug": "petfinder-adoption-prediction", |
| "title": "PetFinder.my Adoption Prediction" |
| }, |
| { |
| "slug": "petfinder-pawpularity-score", |
| "title": "PetFinder.my - Pawpularity Contest" |
| } |
| ] |
| }, |
| { |
| "id": "competitive-gameplay", |
| "name": "Game & Sports Performance", |
| "description": "Predict game outcomes, player performance, or competitive results.", |
| "competitions": [ |
| { |
| "slug": "lol-prediction", |
| "title": "League of Legends Winner Prediction" |
| }, |
| { |
| "slug": "poker-rule-induction", |
| "title": "Poker Rule Induction" |
| }, |
| { |
| "slug": "kobe-bryant-shot-selection", |
| "title": "Kobe Bryant Shot Selection" |
| }, |
| { |
| "slug": "pubg-finish-placement-prediction", |
| "title": "PUBG Finish Placement Prediction (Kernels Only)" |
| }, |
| { |
| "slug": "horse-win-rate", |
| "title": "SejongAI.\ud140\ud504\ub85c\uc81d\ud2b8.[Horse Win-Rate]" |
| }, |
| { |
| "slug": "18011854kbopredicton", |
| "title": "KBO \ud0c0\uc790\uc758 \ub2e4\uc74c\uc2dc\uc98c \ud0c0\uc11d\uc218 \uc608\uce21" |
| } |
| ] |
| }, |
| { |
| "id": "insurance-claims-assessment", |
| "name": "Insurance Claims & Assessment", |
| "description": "Predict insurance claims, severity, or customer assessment outcomes.", |
| "competitions": [ |
| { |
| "slug": "allstate-claims-severity", |
| "title": "Allstate Claims Severity" |
| }, |
| { |
| "slug": "bnp-paribas-cardif-claims-management", |
| "title": "BNP Paribas Cardif Claims Management" |
| }, |
| { |
| "slug": "liberty-mutual-fire-peril", |
| "title": "Liberty Mutual Group - Fire Peril Loss Cost" |
| }, |
| { |
| "slug": "prudential-life-insurance-assessment", |
| "title": "Prudential Life Insurance Assessment" |
| }, |
| { |
| "slug": "mercedes-benz-greener-manufacturing", |
| "title": "Mercedes-Benz Greener Manufacturing" |
| }, |
| { |
| "slug": "bosch-production-line-performance", |
| "title": "Bosch Production Line Performance" |
| } |
| ] |
| }, |
| { |
| "id": "real-estate-property", |
| "name": "Real Estate & Property Prediction", |
| "description": "Predict property prices, values, or insurance assessments for real estate.", |
| "competitions": [ |
| { |
| "slug": "sberbank-russian-housing-market", |
| "title": "Sberbank Russian Housing Market" |
| }, |
| { |
| "slug": "zillow-prize-1", |
| "title": "Zillow Prize: Zillow\u2019s Home Value Prediction (Zestimate)" |
| }, |
| { |
| "slug": "california-house-prices", |
| "title": "California House Prices" |
| }, |
| { |
| "slug": "mds-ppp", |
| "title": "MDS Property Price Prediction" |
| }, |
| { |
| "slug": "liberty-mutual-group-property-inspection-prediction", |
| "title": "Liberty Mutual Group: Property Inspection Prediction" |
| }, |
| { |
| "slug": "homesite-quote-conversion", |
| "title": "Homesite Quote Conversion" |
| } |
| ] |
| }, |
| { |
| "id": "time-series-sequence", |
| "name": "Time Series & Sequential Prediction", |
| "description": "Predict future values in time-dependent sequences.", |
| "competitions": [ |
| { |
| "slug": "jane-street-market-prediction", |
| "title": "Jane Street Market Prediction" |
| }, |
| { |
| "slug": "two-sigma-financial-modeling", |
| "title": "Two Sigma Financial Modeling Challenge" |
| }, |
| { |
| "slug": "ga-customer-revenue-prediction", |
| "title": "Google Analytics Customer Revenue Prediction" |
| }, |
| { |
| "slug": "santander-customer-transaction-prediction", |
| "title": "Santander Customer Transaction Prediction" |
| }, |
| { |
| "slug": "riiid-test-answer-prediction", |
| "title": "Riiid Answer Correctness Prediction" |
| }, |
| { |
| "slug": "ventilator-pressure-prediction", |
| "title": "Google Brain - Ventilator Pressure Prediction" |
| } |
| ] |
| }, |
| { |
| "id": "traffic-transportation", |
| "name": "Traffic, Transportation & Logistics", |
| "description": "Predict traffic patterns, transportation demand, logistics costs, or route metrics.", |
| "competitions": [ |
| { |
| "slug": "axa-driver-telematics-analysis", |
| "title": "Driver Telematics Analysis" |
| }, |
| { |
| "slug": "pubg-finish-placement-prediction", |
| "title": "PUBG Finish Placement Prediction (Kernels Only)" |
| }, |
| { |
| "slug": "playground-series-s5e10", |
| "title": "Predicting Road Accident Risk" |
| }, |
| { |
| "slug": "see-click-predict-fix", |
| "title": "See Click Predict Fix" |
| }, |
| { |
| "slug": "two-sigma-connect-rental-listing-inquiries", |
| "title": "Two Sigma Connect: Rental Listing Inquiries" |
| } |
| ] |
| }, |
| { |
| "id": "categorical-encoding", |
| "name": "Categorical Feature Encoding", |
| "description": "Master encoding high-cardinality categorical features.", |
| "competitions": [ |
| { |
| "slug": "cat-in-the-dat", |
| "title": "Categorical Feature Encoding Challenge" |
| }, |
| { |
| "slug": "cat-in-the-dat-ii", |
| "title": "Categorical Feature Encoding Challenge II" |
| }, |
| { |
| "slug": "WhatDoYouKnow", |
| "title": "What Do You Know?" |
| } |
| ] |
| }, |
| { |
| "id": "multimodal-multilabel", |
| "name": "Multi-Label & Multimodal Learning", |
| "description": "Handle multiple target labels or combine different data modalities.", |
| "competitions": [ |
| { |
| "slug": "playground-series-s3e18", |
| "title": "Explore Multi-Label Classification with an Enzyme Substrate Dataset" |
| }, |
| { |
| "slug": "open-problems-multimodal", |
| "title": "Open Problems - Multimodal Single-Cell Integration" |
| }, |
| { |
| "slug": "cafa-5-protein-function-prediction", |
| "title": "CAFA 5 Protein Function Prediction" |
| } |
| ] |
| } |
| ] |
| }, |
| { |
| "name": "Computer Vision", |
| "subcategories": [ |
| { |
| "id": "fine-grained-visual-categorization", |
| "name": "Fine-Grained Visual Categorization (FGVC)", |
| "description": "Fine-grained classification of species, plants, animals, products, and artifacts requiring discrimination of subtle visual differences.", |
| "competitions": [ |
| { |
| "slug": "iNaturalist-2019-fgvc6", |
| "title": "iNaturalist-2019-fgvc6" |
| }, |
| { |
| "slug": "iNaturalist-challenge-at-fgvc-2017", |
| "title": "iNaturalist-challenge-at-fgvc-2017" |
| }, |
| { |
| "slug": "inaturalist-2019-fgvc6", |
| "title": "iNaturalist 2019 at FGVC6" |
| }, |
| { |
| "slug": "herbarium-2020-fgvc7", |
| "title": "Herbarium 2020 - FGVC7" |
| }, |
| { |
| "slug": "herbarium-2021-fgvc8", |
| "title": "Herbarium 2021 - Half-Earth Challenge - FGVC8" |
| }, |
| { |
| "slug": "herbarium-2022-fgvc9", |
| "title": "Herbarium 2022 - FGVC9" |
| }, |
| { |
| "slug": "plant-pathology-2020-fgvc7", |
| "title": "Plant Pathology 2020 - FGVC7" |
| }, |
| { |
| "slug": "plant-pathology-2021-fgvc8", |
| "title": "Plant Pathology 2021 - FGVC8" |
| }, |
| { |
| "slug": "snakeclef2022", |
| "title": "SnakeCLEF 2022" |
| }, |
| { |
| "slug": "sorghum-id-fgvc-9", |
| "title": "Sorghum -100 Cultivar Identification - FGVC 9" |
| }, |
| { |
| "slug": "planttraits2024", |
| "title": "PlantTraits2024 - FGVC11" |
| }, |
| { |
| "slug": "imaterialist-challenge-fashion-2018", |
| "title": "iMaterialist Challenge (Fashion) at FGVC5" |
| }, |
| { |
| "slug": "imaterialist-challenge-furniture-2018", |
| "title": "iMaterialist Challenge (Furniture) at FGVC5" |
| }, |
| { |
| "slug": "imaterialist-fashion-2019-FGVC6", |
| "title": "iMaterialist (Fashion) 2019 at FGVC6" |
| }, |
| { |
| "slug": "imaterialist-fashion-2020-fgvc7", |
| "title": "iMaterialist (Fashion) 2020 at FGVC7" |
| }, |
| { |
| "slug": "imaterialist-product-2019", |
| "title": "iMaterialist Challenge on Product Recognition" |
| }, |
| { |
| "slug": "imet-2019-fgvc6", |
| "title": "iMet Collection 2019 - FGVC6" |
| }, |
| { |
| "slug": "idesigner", |
| "title": "iDesigner - FGVCx 2019 - Hearst Magazine Media" |
| }, |
| { |
| "slug": "ifood2018", |
| "title": "iFood 2018 Challenge" |
| }, |
| { |
| "slug": "hotel-id-2021-fgvc8", |
| "title": "Hotel-ID to Combat Human Trafficking 2021 - FGVC8" |
| }, |
| { |
| "slug": "hotel-id-to-combat-human-trafficking-2022-fgvc9", |
| "title": "Hotel-ID to Combat Human Trafficking 2022 - FGVC9" |
| } |
| ] |
| }, |
| { |
| "id": "general-image-classification", |
| "name": "General Image Classification", |
| "description": "Basic image classification tasks involving object recognition, scene understanding, and multi-class categorization in diverse domains.", |
| "competitions": [ |
| { |
| "slug": "cifar-10", |
| "title": "CIFAR-10 - Object Recognition in Images" |
| }, |
| { |
| "slug": "dog-breed-identification", |
| "title": "Dog Breed Identification" |
| }, |
| { |
| "slug": "dog-vs-cat-classification", |
| "title": "Dog vs Cat classification" |
| }, |
| { |
| "slug": "dogs-vs-cats", |
| "title": "Dogs vs. Cats" |
| }, |
| { |
| "slug": "dogs-vs-cats-redux-kernels-edition", |
| "title": "Dogs vs. Cats Redux: Kernels Edition" |
| }, |
| { |
| "slug": "flower-classification-with-tpus", |
| "title": "Flower Classification with TPUs" |
| }, |
| { |
| "slug": "cassava-disease", |
| "title": "Cassava Disease Classification" |
| }, |
| { |
| "slug": "cassava-leaf-disease-classification", |
| "title": "Cassava Leaf Disease Classification" |
| }, |
| { |
| "slug": "classify-leaves", |
| "title": "Classify Leaves" |
| }, |
| { |
| "slug": "plant-seedlings-classification", |
| "title": "Plant Seedlings Classification" |
| }, |
| { |
| "slug": "paddy-disease-classification", |
| "title": "Paddy Doctor: Paddy Disease Classification" |
| }, |
| { |
| "slug": "Kannada-MNIST", |
| "title": "Kannada MNIST" |
| }, |
| { |
| "slug": "2019-fall-pr-project", |
| "title": "2019-PR-Midterm-ImageClassification" |
| }, |
| { |
| "slug": "2019-PR-Midterm-ImageClassification", |
| "title": "2019-PR-Midterm-ImageClassification" |
| }, |
| { |
| "slug": "ultra-mnist", |
| "title": "UltraMNIST Classification Challenge" |
| }, |
| { |
| "slug": "star-classifier", |
| "title": "Star classifier" |
| }, |
| { |
| "slug": "yelp-restaurant-photo-classification", |
| "title": "Yelp Restaurant Photo Classification" |
| } |
| ] |
| }, |
| { |
| "id": "classification-challenges-general", |
| "name": "General Classification & Segmentation Challenges", |
| "description": "Multi-domain image classification, segmentation, and recognition challenges.", |
| "competitions": [ |
| { |
| "slug": "cdiscount-image-classification-challenge", |
| "title": "Cdiscount\u2019s Image Classification Challenge" |
| }, |
| { |
| "slug": "imagenet-object-localization-challenge", |
| "title": "ImageNet Object Localization Challenge" |
| }, |
| { |
| "slug": "data-science-bowl-2017", |
| "title": "Data Science Bowl 2017" |
| }, |
| { |
| "slug": "data-science-bowl-2018", |
| "title": "2018 Data Science Bowl" |
| }, |
| { |
| "slug": "data-science-bowl-2019", |
| "title": "2019 Data Science Bowl" |
| }, |
| { |
| "slug": "datasciencebowl", |
| "title": "National Data Science Bowl" |
| }, |
| { |
| "slug": "second-annual-data-science-bowl", |
| "title": "Second Annual Data Science Bowl" |
| }, |
| { |
| "slug": "google-ai-open-images-visual-relationship-track", |
| "title": "Google AI Open Images - Visual Relationship Track" |
| }, |
| { |
| "slug": "open-images-2019-visual-relationship", |
| "title": "Open Images 2019 - Visual Relationship" |
| }, |
| { |
| "slug": "leaf-classification", |
| "title": "Leaf Classification" |
| }, |
| { |
| "slug": "multilabel-bird-species-classification-nips2013", |
| "title": "Multi-label Bird Species Classification - NIPS 2013" |
| }, |
| { |
| "slug": "semi-inat-2020", |
| "title": "Semi-Supervised Recognition Challenge - FGVC7" |
| }, |
| { |
| "slug": "generative-dog-images", |
| "title": "Generative Dog Images" |
| }, |
| { |
| "slug": "street-view-getting-started-with-julia", |
| "title": "First Steps With Julia" |
| } |
| ] |
| }, |
| { |
| "id": "landmark-recognition-retrieval", |
| "name": "Landmark Recognition & Retrieval", |
| "description": "Landmark detection, recognition, and retrieval from images using visual matching.", |
| "competitions": [ |
| { |
| "slug": "landmark-recognition-2019", |
| "title": "Google Landmark Recognition 2019" |
| }, |
| { |
| "slug": "landmark-recognition-2020", |
| "title": "Google Landmark Recognition 2020" |
| }, |
| { |
| "slug": "landmark-recognition-2021", |
| "title": "Google Landmark Recognition 2021" |
| }, |
| { |
| "slug": "landmark-recognition-challenge", |
| "title": "Google Landmark Recognition Challenge" |
| }, |
| { |
| "slug": "landmark-retrieval-2019", |
| "title": "Google Landmark Retrieval 2019" |
| }, |
| { |
| "slug": "landmark-retrieval-2020", |
| "title": "Google Landmark Retrieval 2020" |
| }, |
| { |
| "slug": "landmark-retrieval-2021", |
| "title": "Google Landmark Retrieval 2021" |
| }, |
| { |
| "slug": "landmark-retrieval-challenge", |
| "title": "Google Landmark Retrieval Challenge" |
| }, |
| { |
| "slug": "image-matching-challenge-2022", |
| "title": "Image Matching Challenge 2022" |
| }, |
| { |
| "slug": "image-matching-challenge-2023", |
| "title": "Image Matching Challenge 2023" |
| }, |
| { |
| "slug": "image-matching-challenge-2024", |
| "title": "Image Matching Challenge 2024 - Hexathlon" |
| }, |
| { |
| "slug": "image-matching-challenge-2025", |
| "title": "Image Matching Challenge 2025" |
| } |
| ] |
| }, |
| { |
| "id": "object-detection", |
| "name": "Object Detection & Localization", |
| "description": "Detecting, localizing, and identifying multiple objects within images with bounding boxes.", |
| "competitions": [ |
| { |
| "slug": "global-wheat-detection", |
| "title": "Global Wheat Detection" |
| }, |
| { |
| "slug": "google-ai-open-images-object-detection-track", |
| "title": "Google AI Open Images - Object Detection Track" |
| }, |
| { |
| "slug": "open-images-2019-object-detection", |
| "title": "Open Images 2019 - Object Detection" |
| }, |
| { |
| "slug": "open-images-object-detection-rvc-2020", |
| "title": "Open Images Object Detection RVC 2020 edition" |
| }, |
| { |
| "slug": "google-universal-image-embedding", |
| "title": "Google Universal Image Embedding" |
| }, |
| { |
| "slug": "tensorflow-great-barrier-reef", |
| "title": "TensorFlow - Help Protect the Great Barrier Reef" |
| }, |
| { |
| "slug": "airbus-ship-detection", |
| "title": "Airbus Ship Detection Challenge" |
| }, |
| { |
| "slug": "severstal-steel-defect-detection", |
| "title": "Severstal: Steel Defect Detection" |
| }, |
| { |
| "slug": "3d-object-detection-for-autonomous-vehicles", |
| "title": "Lyft 3D Object Detection for Autonomous Vehicles" |
| }, |
| { |
| "slug": "nfl-player-contact-detection", |
| "title": "1st and Future - Player Contact Detection" |
| }, |
| { |
| "slug": "fathomnet-out-of-sample-detection", |
| "title": "FathomNet 2023" |
| }, |
| { |
| "slug": "nta-landmarks-detection", |
| "title": "NTA Landmarks Detection" |
| } |
| ] |
| }, |
| { |
| "id": "video-understanding-action-detection", |
| "name": "Video Understanding & Action Detection", |
| "description": "Temporal analysis, action recognition, and understanding from video sequences.", |
| "competitions": [ |
| { |
| "slug": "youtube8m", |
| "title": "Google Cloud & YouTube-8M Video Understanding Challenge" |
| }, |
| { |
| "slug": "youtube8m-2018", |
| "title": "The 2nd YouTube-8M Video Understanding Challenge" |
| }, |
| { |
| "slug": "youtube8m-2019", |
| "title": "The 3rd YouTube-8M Video Understanding Challenge" |
| }, |
| { |
| "slug": "GestureChallenge", |
| "title": "CHALEARN Gesture Challenge" |
| }, |
| { |
| "slug": "asl-fingerspelling", |
| "title": "Google - American Sign Language Fingerspelling Recognition" |
| }, |
| { |
| "slug": "asl-signs", |
| "title": "Google - Isolated Sign Language Recognition" |
| }, |
| { |
| "slug": "multi-modal-gesture-recognition", |
| "title": "Multi-modal Gesture Recognition" |
| }, |
| { |
| "slug": "MABe-mouse-behavior-detection", |
| "title": "MABe Challenge - Social Action Recognition in Mice" |
| }, |
| { |
| "slug": "nfl-impact-detection", |
| "title": "NFL 1st and Future - Impact Detection" |
| }, |
| { |
| "slug": "dfl-bundesliga-data-shootout", |
| "title": "DFL - Bundesliga Data Shootout" |
| }, |
| { |
| "slug": "state-farm-distracted-driver-detection", |
| "title": "State Farm Distracted Driver Detection" |
| } |
| ] |
| }, |
| { |
| "id": "wildlife-species-identification", |
| "name": "Wildlife & Species Identification", |
| "description": "Individual animal identification, species counting, and ecological monitoring from image data.", |
| "competitions": [ |
| { |
| "slug": "happy-whale-and-dolphin", |
| "title": "Happywhale - Whale and Dolphin Identification" |
| }, |
| { |
| "slug": "humpback-whale-identification", |
| "title": "Humpback Whale Identification" |
| }, |
| { |
| "slug": "whale-detection-challenge", |
| "title": "The Marinexplore and Cornell University Whale Detection Challenge" |
| }, |
| { |
| "slug": "noaa-fisheries-steller-sea-lion-population-count", |
| "title": "NOAA Fisheries Steller Sea Lion Population Count" |
| }, |
| { |
| "slug": "noaa-right-whale-recognition", |
| "title": "Right Whale Recognition" |
| }, |
| { |
| "slug": "the-nature-conservancy-fisheries-monitoring", |
| "title": "The Nature Conservancy Fisheries Monitoring" |
| }, |
| { |
| "slug": "iwildcam-2019-fgvc6", |
| "title": "iWildCam 2019 - FGVC6" |
| }, |
| { |
| "slug": "iwildcam-2020-fgvc7", |
| "title": "iWildCam 2020 - FGVC7" |
| }, |
| { |
| "slug": "iwildcam2021-fgvc8", |
| "title": "iWildcam 2021 - FGVC8" |
| }, |
| { |
| "slug": "iwildcam2022-fgvc9", |
| "title": "iWildCam 2022 - FGVC9" |
| }, |
| { |
| "slug": "invasive-species-monitoring", |
| "title": "Invasive Species Monitoring" |
| } |
| ] |
| }, |
| { |
| "id": "specialized-domain-detection", |
| "name": "Specialized Domain Detection & Analysis", |
| "description": "Domain-specific image analysis including steganalysis, biomass prediction, and safety screening.", |
| "competitions": [ |
| { |
| "slug": "alaska2-image-steganalysis", |
| "title": "ALASKA2 Image Steganalysis" |
| }, |
| { |
| "slug": "PhotoQualityPrediction", |
| "title": "Photo Quality Prediction" |
| }, |
| { |
| "slug": "csiro-biomass", |
| "title": "CSIRO - Image2Biomass Prediction" |
| }, |
| { |
| "slug": "sorghum-biomass-prediction", |
| "title": "Sorghum Biomass Prediction" |
| }, |
| { |
| "slug": "passenger-screening-algorithm-challenge", |
| "title": "Passenger Screening Algorithm Challenge" |
| }, |
| { |
| "slug": "statoil-iceberg-classifier-challenge", |
| "title": "Statoil/C-CORE Iceberg Classifier Challenge" |
| }, |
| { |
| "slug": "sp-society-camera-model-identification", |
| "title": "IEEE's Signal Processing Society - Camera Model Identification" |
| }, |
| { |
| "slug": "recursion-cellular-image-classification", |
| "title": "Recursion Cellular Image Classification" |
| }, |
| { |
| "slug": "inclusive-images-challenge", |
| "title": "Inclusive Images Challenge" |
| } |
| ] |
| }, |
| { |
| "id": "semantic-instance-segmentation", |
| "name": "Semantic & Instance Segmentation", |
| "description": "Pixel-level scene understanding, object boundary detection, and semantic segmentation tasks.", |
| "competitions": [ |
| { |
| "slug": "carvana-image-masking-challenge", |
| "title": "Carvana Image Masking Challenge" |
| }, |
| { |
| "slug": "open-images-2019-instance-segmentation", |
| "title": "Open Images 2019 - Instance Segmentation" |
| }, |
| { |
| "slug": "cvpr-2018-autonomous-driving", |
| "title": "CVPR 2018 WAD Video Segmentation Challenge" |
| }, |
| { |
| "slug": "tgs-salt-identification-challenge", |
| "title": "TGS Salt Identification Challenge" |
| }, |
| { |
| "slug": "vesuvius-challenge-ink-detection", |
| "title": "Vesuvius Challenge - Ink Detection" |
| }, |
| { |
| "slug": "vesuvius-challenge-surface-detection", |
| "title": "Vesuvius Challenge - Surface Detection" |
| }, |
| { |
| "slug": "denoising-dirty-documents", |
| "title": "Denoising Dirty Documents" |
| }, |
| { |
| "slug": "denoising-shabby-pages", |
| "title": "Denoising ShabbyPages" |
| } |
| ] |
| }, |
| { |
| "id": "face-recognition-analysis", |
| "name": "Face Recognition & Analysis", |
| "description": "Face verification, detection, landmark localization, and facial attribute analysis.", |
| "competitions": [ |
| { |
| "slug": "facial-keypoints-detection", |
| "title": "Facial Keypoints Detection" |
| }, |
| { |
| "slug": "face-verification2", |
| "title": "TUGraz-TUT Face Verification Challenge" |
| }, |
| { |
| "slug": "recognizing-faces-in-the-wild", |
| "title": "Northeastern SMILE Lab - Recognizing Faces in the Wild" |
| }, |
| { |
| "slug": "tut-head-pose-estimation-challenge", |
| "title": "TUT Head Pose Estimation Challenge" |
| }, |
| { |
| "slug": "icdar2013-gender-prediction-from-handwriting", |
| "title": "ICDAR2013 - Gender Prediction from Handwriting" |
| }, |
| { |
| "slug": "vkcv2022-contest-01-facial-landmarks", |
| "title": "VKCV_2022_Contest_01: Facial Landmarks" |
| }, |
| { |
| "slug": "deepfake-detection-challenge", |
| "title": "Deepfake Detection Challenge" |
| } |
| ] |
| }, |
| { |
| "id": "autonomous-driving-robotics", |
| "name": "Autonomous Driving & Robotics", |
| "description": "Vision tasks for autonomous vehicles, robotics control, and motion prediction.", |
| "competitions": [ |
| { |
| "slug": "pku-autonomous-driving", |
| "title": "Peking University/Baidu - Autonomous Driving" |
| }, |
| { |
| "slug": "lyft-motion-prediction-autonomous-vehicles", |
| "title": "Lyft Motion Prediction for Autonomous Vehicles" |
| }, |
| { |
| "slug": "career-con-2019", |
| "title": "CareerCon 2019 - Help Navigate Robots" |
| }, |
| { |
| "slug": "stayalert", |
| "title": "Stay Alert! The Ford Challenge" |
| }, |
| { |
| "slug": "nfl-health-and-safety-helmet-assignment", |
| "title": "NFL Health & Safety - Helmet Assignment" |
| }, |
| { |
| "slug": "vehicle", |
| "title": "TAU Vehicle Type Recognition Competition" |
| } |
| ] |
| }, |
| { |
| "id": "document-text-image-analysis", |
| "name": "Document & Text Analysis", |
| "description": "Handwritten text recognition, character classification, and document understanding.", |
| "competitions": [ |
| { |
| "slug": "bengaliai-cv19", |
| "title": "Bengali.AI Handwritten Grapheme Classification" |
| }, |
| { |
| "slug": "kuzushiji-recognition", |
| "title": "Kuzushiji Recognition" |
| }, |
| { |
| "slug": "benetech-making-graphs-accessible", |
| "title": "Benetech - Making Graphs Accessible" |
| }, |
| { |
| "slug": "quickdraw-doodle-recognition", |
| "title": "Quick, Draw! Doodle Recognition Challenge" |
| }, |
| { |
| "slug": "drawing-with-llms", |
| "title": "Drawing with LLMs" |
| } |
| ] |
| }, |
| { |
| "id": "adversarial-robustness", |
| "name": "Adversarial Robustness & Defense", |
| "description": "Adversarial attack and defense mechanisms, testing model robustness against perturbations.", |
| "competitions": [ |
| { |
| "slug": "nips-2017-defense-against-adversarial-attack", |
| "title": "NIPS 2017: Defense Against Adversarial Attack" |
| }, |
| { |
| "slug": "nips-2017-non-targeted-adversarial-attack", |
| "title": "NIPS 2017: Non-targeted Adversarial Attack" |
| }, |
| { |
| "slug": "nips-2017-targeted-adversarial-attack", |
| "title": "NIPS 2017: Targeted Adversarial Attack" |
| } |
| ] |
| } |
| ] |
| }, |
| { |
| "name": "Natural Language Processing", |
| "subcategories": [ |
| { |
| "id": "entity-extraction-linguistic-analysis", |
| "name": "Entity Extraction & Linguistic Analysis", |
| "description": "Extract named entities, resolve pronouns, identify misconceptions, or analyze linguistic patterns.", |
| "competitions": [ |
| { |
| "slug": "gendered-pronoun-resolution", |
| "title": "Gendered Pronoun Resolution" |
| }, |
| { |
| "slug": "eedi-mining-misconceptions-in-mathematics", |
| "title": "Eedi - Mining Misconceptions in Mathematics" |
| }, |
| { |
| "slug": "facebook-recruiting-iv-human-or-bot", |
| "title": "Facebook Recruiting IV: Human or Robot?" |
| }, |
| { |
| "slug": "spooky-author-identification", |
| "title": "Spooky Author Identification" |
| }, |
| { |
| "slug": "twitter-personality-prediction", |
| "title": "Personality Prediction Based on Twitter Stream" |
| }, |
| { |
| "slug": "twitter-psychopathy-prediction", |
| "title": "Psychopathy Prediction Based on Twitter Usage" |
| }, |
| { |
| "slug": "donorschoose-application-screening", |
| "title": "DonorsChoose.org Application Screening" |
| }, |
| { |
| "slug": "kdd-cup-2014-predicting-excitement-at-donors-choose", |
| "title": "KDD Cup 2014 - Predicting Excitement at DonorsChoose.org" |
| }, |
| { |
| "slug": "make-data-count-finding-data-references", |
| "title": "Make Data Count - Finding Data References" |
| }, |
| { |
| "slug": "pii-detection-removal-from-educational-data", |
| "title": "The Learning Agency Lab - PII Data Detection" |
| }, |
| { |
| "slug": "uet-hackathon-2022-data-science", |
| "title": "UET Hackathon 2022 - Data Science" |
| }, |
| { |
| "slug": "whats-cooking", |
| "title": "What's Cooking?" |
| }, |
| { |
| "slug": "whats-cooking-kernels-only", |
| "title": "What's Cooking? (Kernels Only)" |
| }, |
| { |
| "slug": "ykc-2nd", |
| "title": "YKC-2nd" |
| } |
| ] |
| }, |
| { |
| "id": "text-normalization-generation", |
| "name": "Text Normalization & Generation", |
| "description": "Transform text through normalization, translation, essay scoring, or caption generation.", |
| "competitions": [ |
| { |
| "slug": "text-normalization-challenge-english-language", |
| "title": "Text Normalization Challenge - English Language" |
| }, |
| { |
| "slug": "text-normalization-challenge-russian-language", |
| "title": "Text Normalization Challenge - Russian Language" |
| }, |
| { |
| "slug": "commonlit-evaluate-student-summaries", |
| "title": "CommonLit - Evaluate Student Summaries" |
| }, |
| { |
| "slug": "commonlitreadabilityprize", |
| "title": "CommonLit Readability Prize" |
| }, |
| { |
| "slug": "feedback-prize-2021", |
| "title": "Feedback Prize - Evaluating Student Writing" |
| }, |
| { |
| "slug": "feedback-prize-effectiveness", |
| "title": "Feedback Prize - Predicting Effective Arguments" |
| }, |
| { |
| "slug": "feedback-prize-english-language-learning", |
| "title": "Feedback Prize - English Language Learning" |
| }, |
| { |
| "slug": "learning-agency-lab-automated-essay-scoring-2", |
| "title": "Learning Agency Lab - Automated Essay Scoring 2.0" |
| }, |
| { |
| "slug": "linking-writing-processes-to-writing-quality", |
| "title": "Linking Writing Processes to Writing Quality" |
| }, |
| { |
| "slug": "bms-molecular-translation", |
| "title": "Bristol-Myers Squibb \u2013 Molecular Translation" |
| }, |
| { |
| "slug": "stable-diffusion-image-to-prompts", |
| "title": "Stable Diffusion - Image to Prompts" |
| }, |
| { |
| "slug": "nbme-score-clinical-patient-notes", |
| "title": "NBME - Score Clinical Patient Notes" |
| }, |
| { |
| "slug": "random-acts-of-pizza", |
| "title": "Random Acts of Pizza" |
| } |
| ] |
| }, |
| { |
| "id": "text-classification", |
| "name": "Text Classification", |
| "description": "Classify documents or texts into predefined categories or classes.", |
| "competitions": [ |
| { |
| "slug": "cl-cv2020", |
| "title": "Classify This Movie" |
| }, |
| { |
| "slug": "dlinnlp-spring-2019-clf", |
| "title": "DL in NLP Spring 2019. Classification" |
| }, |
| { |
| "slug": "dmia-surnames-classification", |
| "title": "DMIA sport intro: Surnames classification" |
| }, |
| { |
| "slug": "lshtc", |
| "title": "Large Scale Hierarchical Text Classification" |
| }, |
| { |
| "slug": "tradeshift-text-classification", |
| "title": "Tradeshift Text Classification" |
| }, |
| { |
| "slug": "transfer-learning-on-stack-exchange-tags", |
| "title": "Transfer Learning on Stack Exchange Tags" |
| }, |
| { |
| "slug": "wise-2014", |
| "title": "Greek Media Monitoring Multilabel Classification (WISE 2014)" |
| }, |
| { |
| "slug": "stumbleupon", |
| "title": "StumbleUpon Evergreen Classification Challenge" |
| }, |
| { |
| "slug": "word2vec-nlp-tutorial", |
| "title": "Bag of Words Meets Bags of Popcorn" |
| }, |
| { |
| "slug": "congessional-tweet-competition-spring2022", |
| "title": "congessional-tweet-competition-spring2022" |
| }, |
| { |
| "slug": "morse-learning-machine-challenge-v2", |
| "title": "Morse Learning Machine Challenge - v2" |
| } |
| ] |
| }, |
| { |
| "id": "toxic-harmful-content-detection", |
| "name": "Toxic & Harmful Content Detection", |
| "description": "Identify and classify toxic, hateful, abusive, spam, or otherwise harmful content in text.", |
| "competitions": [ |
| { |
| "slug": "detecting-insults-in-social-commentary", |
| "title": "Detecting Insults in Social Commentary" |
| }, |
| { |
| "slug": "jigsaw-agile-community-rules", |
| "title": "Jigsaw - Agile Community Rules Classification" |
| }, |
| { |
| "slug": "jigsaw-multilingual-toxic-comment-classification", |
| "title": "Jigsaw Multilingual Toxic Comment Classification" |
| }, |
| { |
| "slug": "jigsaw-toxic-comment-classification-challenge", |
| "title": "Toxic Comment Classification Challenge" |
| }, |
| { |
| "slug": "jigsaw-toxic-severity-rating", |
| "title": "Jigsaw Rate Severity of Toxic Comments" |
| }, |
| { |
| "slug": "jigsaw-unintended-bias-in-toxicity-classification", |
| "title": "Jigsaw Unintended Bias in Toxicity Classification" |
| }, |
| { |
| "slug": "quora-insincere-questions-classification", |
| "title": "Quora Insincere Questions Classification" |
| }, |
| { |
| "slug": "sms-spam-classification", |
| "title": "SMS spam classification" |
| }, |
| { |
| "slug": "predict-potential-spammers-on-fiverr", |
| "title": "Predict Potential Spammers on Fiverr" |
| }, |
| { |
| "slug": "avito-prohibited-content", |
| "title": "The Hunt for Prohibited Content" |
| }, |
| { |
| "slug": "predict-closed-questions-on-stack-overflow", |
| "title": "Predict Closed Questions on Stack Overflow" |
| } |
| ] |
| }, |
| { |
| "id": "qa-relevance-ranking", |
| "name": "Question Answering & Search Relevance", |
| "description": "Answer questions, rank search results by relevance, or match queries to documents.", |
| "competitions": [ |
| { |
| "slug": "chaii-hindi-and-tamil-question-answering", |
| "title": "chaii - Hindi and Tamil Question Answering" |
| }, |
| { |
| "slug": "coleridgeinitiative-show-us-the-data", |
| "title": "Coleridge Initiative - Show US the Data" |
| }, |
| { |
| "slug": "crowdflower-search-relevance", |
| "title": "Crowdflower Search Results Relevance" |
| }, |
| { |
| "slug": "google-quest-challenge", |
| "title": "Google QUEST Q&A Labeling" |
| }, |
| { |
| "slug": "home-depot-product-search-relevance", |
| "title": "Home Depot Product Search Relevance" |
| }, |
| { |
| "slug": "tensorflow2-question-answering", |
| "title": "TensorFlow 2.0 Question Answering" |
| }, |
| { |
| "slug": "the-allen-ai-science-challenge", |
| "title": "The Allen AI Science Challenge" |
| }, |
| { |
| "slug": "kaggle-llm-science-exam", |
| "title": "Kaggle - LLM Science Exam" |
| }, |
| { |
| "slug": "llm-20-questions", |
| "title": "LLM 20 Questions" |
| }, |
| { |
| "slug": "llm-prompt-recovery", |
| "title": "LLM Prompt Recovery" |
| } |
| ] |
| }, |
| { |
| "id": "llm-evaluation-safety", |
| "name": "LLM Evaluation, Safety & Red-Teaming", |
| "description": "Evaluate LLM outputs, detect AI-generated content, assess bias, or conduct adversarial testing.", |
| "competitions": [ |
| { |
| "slug": "llm-detect-ai-generated-text", |
| "title": "LLM - Detect AI Generated Text" |
| }, |
| { |
| "slug": "llms-you-cant-please-them-all", |
| "title": "LLMs - You Can't Please Them All" |
| }, |
| { |
| "slug": "lmsys-chatbot-arena", |
| "title": "LMSYS - Chatbot Arena Human Preference Predictions" |
| }, |
| { |
| "slug": "openai-gpt-oss-20b-red-teaming", |
| "title": "Red\u2011Teaming Challenge - OpenAI gpt-oss-20b" |
| }, |
| { |
| "slug": "uspto-explainable-ai", |
| "title": "USPTO - Explainable AI for Patent Professionals" |
| }, |
| { |
| "slug": "20-newsgroups-ciphertext-challenge", |
| "title": "20 Newsgroups Ciphertext Challenge" |
| }, |
| { |
| "slug": "ciphertext-challenge-ii", |
| "title": "Ciphertext Challenge II" |
| }, |
| { |
| "slug": "ciphertext-challenge-iii", |
| "title": "Ciphertext Challenge III" |
| } |
| ] |
| }, |
| { |
| "id": "text-similarity-matching", |
| "name": "Text Similarity & Semantic Matching", |
| "description": "Identify duplicate, similar, or semantically equivalent text pairs and match phrases.", |
| "competitions": [ |
| { |
| "slug": "avito-duplicate-ads-detection", |
| "title": "Avito Duplicate Ads Detection" |
| }, |
| { |
| "slug": "quora-question-pairs", |
| "title": "Quora Question Pairs" |
| }, |
| { |
| "slug": "us-patent-phrase-to-phrase-matching", |
| "title": "U.S. Patent Phrase to Phrase Matching" |
| }, |
| { |
| "slug": "facebook-recruiting-iii-keyword-extraction", |
| "title": "Facebook Recruiting III - Keyword Extraction" |
| }, |
| { |
| "slug": "shopee-product-matching", |
| "title": "Shopee - Price Match Guarantee" |
| }, |
| { |
| "slug": "wikipedia-image-caption", |
| "title": "Wikipedia - Image/Caption Matching" |
| }, |
| { |
| "slug": "yelp-recruiting-iii-keyword-extraction", |
| "title": "yelp-recruiting-iii-keyword-extraction" |
| }, |
| { |
| "slug": "wsdm-cup-multilingual-chatbot-arena", |
| "title": "WSDM Cup - Multilingual Chatbot Arena" |
| } |
| ] |
| }, |
| { |
| "id": "sentiment-opinion-mining", |
| "name": "Sentiment Analysis & Opinion Mining", |
| "description": "Extract sentiment, emotions, or opinions from text content across various domains and languages.", |
| "competitions": [ |
| { |
| "slug": "aiquest-bangla-sentiment-analysis-competition", |
| "title": "aiquest - Bangla Sentiment Analysis Competition" |
| }, |
| { |
| "slug": "movie-review-sentiment-analysis-kernels-only", |
| "title": "Movie Review Sentiment Analysis (Kernels Only)" |
| }, |
| { |
| "slug": "sentiment-analysis-on-movie-reviews", |
| "title": "Sentiment Analysis on Movie Reviews" |
| }, |
| { |
| "slug": "simplesentiment", |
| "title": "\u0421\u0435\u043d\u0442\u0438\u043c\u0435\u043d\u0442-\u0430\u043d\u0430\u043b\u0438\u0437 \u043e\u0442\u0437\u044b\u0432\u043e\u0432 (\u043f\u0440\u043e\u0441\u0442\u0430\u044f \u0432\u0435\u0440\u0441\u0438\u044f)" |
| }, |
| { |
| "slug": "tweet-sentiment-extraction", |
| "title": "Tweet Sentiment Extraction" |
| }, |
| { |
| "slug": "goodreads-books-reviews-290312", |
| "title": "Goodreads Books Reviews" |
| }, |
| { |
| "slug": "poetii-in-limba-romana", |
| "title": "poetii-in-limba-romana" |
| } |
| ] |
| } |
| ] |
| }, |
| { |
| "name": "Time Series", |
| "subcategories": [ |
| { |
| "id": "weather-environmental-epidemiological-forecasting", |
| "name": "Weather, Environmental & Epidemiological Forecasting", |
| "description": "Forecast weather conditions, environmental metrics, disease spread, and public health trends.", |
| "competitions": [ |
| { |
| "slug": "covid19-global-forecasting-week-2", |
| "title": "COVID19 Global Forecasting (Week 2)" |
| }, |
| { |
| "slug": "covid19-global-forecasting-week-5", |
| "title": "COVID19 Global Forecasting (Week 5)" |
| }, |
| { |
| "slug": "covid19-local-us-ca-forecasting-week-1", |
| "title": "COVID19 Local US-CA Forecasting (Week 1)" |
| }, |
| { |
| "slug": "how-much-did-it-rain", |
| "title": "How Much Did It Rain?" |
| }, |
| { |
| "slug": "how-much-did-it-rain-ii", |
| "title": "How Much Did It Rain? II" |
| }, |
| { |
| "slug": "rainyseason", |
| "title": "2020.Spring.AI.Termproject_\uc7a5\ub9c8 \uc608\uce21\ud558\uae30" |
| }, |
| { |
| "slug": "aiseaweather", |
| "title": "SejongAI.\ud140\ud504\ub85c\uc81d\ud2b8.[\ud574\uc591\uae30\uc0c1\ubd80\uc774 \ubc14\ub2e4 \ub0a0\uc528 \uc608\uce21]" |
| }, |
| { |
| "slug": "crowdflower-weather-twitter", |
| "title": "Partly Sunny with a Chance of Hashtags" |
| }, |
| { |
| "slug": "tourism2", |
| "title": "Tourism Forecasting Part Two" |
| }, |
| { |
| "slug": "web-traffic-time-series-forecasting", |
| "title": "Web Traffic Time Series Forecasting" |
| }, |
| { |
| "slug": "mlb-player-digital-engagement-forecasting", |
| "title": "MLB Player Digital Engagement Forecasting" |
| }, |
| { |
| "slug": "unemployment-rate", |
| "title": "SejongAI.\ud140\ud504\ub85c\uc81d\ud2b8.[\uace0\uc6a9\uc9c0\ud45c\uc5d0 \ub530\ub978 \uc2e4\uc5c5\ub960 \uc608\uce21]" |
| }, |
| { |
| "slug": "kddbr-2020", |
| "title": "KDD BR Competition 2020" |
| }, |
| { |
| "slug": "kddbr-2021", |
| "title": "KDD BR Competition 2021" |
| }, |
| { |
| "slug": "godaddy-microbusiness-density-forecasting", |
| "title": "GoDaddy - Microbusiness Density Forecasting" |
| }, |
| { |
| "slug": "ubaar-competition", |
| "title": "Ubaar Competition" |
| }, |
| { |
| "slug": "battlefin-s-big-data-combine-forecasting-challenge", |
| "title": "The Big Data Combine Engineered by BattleFin" |
| }, |
| { |
| "slug": "nfl-big-data-bowl-2020", |
| "title": "NFL Big Data Bowl" |
| }, |
| { |
| "slug": "nfl-big-data-bowl-2026-prediction", |
| "title": "NFL Big Data Bowl 2026 - Prediction" |
| }, |
| { |
| "slug": "academy-ts-assignment-202003", |
| "title": "202003 AI Academy Time Series Assignment" |
| } |
| ] |
| }, |
| { |
| "id": "retail-demand-forecasting", |
| "name": "Retail & Inventory Demand Forecasting", |
| "description": "Predict store sales, inventory levels, and customer demand across retail chains and platforms.", |
| "competitions": [ |
| { |
| "slug": "rossmann-store-sales", |
| "title": "Rossmann Store Sales" |
| }, |
| { |
| "slug": "walmart-recruiting-store-sales-forecasting", |
| "title": "Walmart Recruiting - Store Sales Forecasting" |
| }, |
| { |
| "slug": "walmart-recruiting-sales-in-stormy-weather", |
| "title": "Walmart Recruiting II: Sales in Stormy Weather" |
| }, |
| { |
| "slug": "favorita-grocery-sales-forecasting", |
| "title": "Corporaci\u00f3n Favorita Grocery Sales Forecasting" |
| }, |
| { |
| "slug": "grupo-bimbo-inventory-demand", |
| "title": "Grupo Bimbo Inventory Demand" |
| }, |
| { |
| "slug": "demand-forecasting-kernels-only", |
| "title": "Store Item Demand Forecasting Challenge" |
| }, |
| { |
| "slug": "m5-forecasting-accuracy", |
| "title": "M5 Forecasting - Accuracy" |
| }, |
| { |
| "slug": "m5-forecasting-uncertainty", |
| "title": "M5 Forecasting - Uncertainty" |
| }, |
| { |
| "slug": "restaurant-revenue-prediction", |
| "title": "Restaurant Revenue Prediction" |
| }, |
| { |
| "slug": "recruit-restaurant-visitor-forecasting", |
| "title": "Recruit Restaurant Visitor Forecasting" |
| }, |
| { |
| "slug": "playground-series-s3e19", |
| "title": "Forecasting Mini-Course Sales" |
| }, |
| { |
| "slug": "playground-series-s5e1", |
| "title": "Forecasting Sticker Sales" |
| }, |
| { |
| "slug": "playground-series-s5e4", |
| "title": "Predict Podcast Listening Time" |
| } |
| ] |
| }, |
| { |
| "id": "financial-market-forecasting", |
| "name": "Financial Market & Asset Price Forecasting", |
| "description": "Predict stock prices, cryptocurrency values, trading volumes, and financial market movements.", |
| "competitions": [ |
| { |
| "slug": "the-winton-stock-market-challenge", |
| "title": "The Winton Stock Market Challenge" |
| }, |
| { |
| "slug": "two-sigma-financial-news", |
| "title": "Two Sigma: Using News to Predict Stock Movements" |
| }, |
| { |
| "slug": "jpx-tokyo-stock-exchange-prediction", |
| "title": "JPX Tokyo Stock Exchange Prediction" |
| }, |
| { |
| "slug": "netflix-stock-prediction", |
| "title": "\ub137\ud50c\ub9ad\uc2a4 \uc8fc\uac00 \uc608\uce21" |
| }, |
| { |
| "slug": "stock-market-prediction", |
| "title": "Viet Nam Stock Market Prediction" |
| }, |
| { |
| "slug": "jane-street-real-time-market-data-forecasting", |
| "title": "Jane Street Real-Time Market Data Forecasting" |
| }, |
| { |
| "slug": "optiver-realized-volatility-prediction", |
| "title": "Optiver Realized Volatility Prediction" |
| }, |
| { |
| "slug": "optiver-trading-at-the-close", |
| "title": "Optiver - Trading at the Close" |
| }, |
| { |
| "slug": "g-research-crypto-forecasting", |
| "title": "G-Research Crypto Forecasting" |
| }, |
| { |
| "slug": "ubiquant-market-prediction", |
| "title": "Ubiquant Market Prediction" |
| }, |
| { |
| "slug": "benchmark-bond-trade-price-challenge", |
| "title": "Benchmark Bond Trade Price Challenge" |
| }, |
| { |
| "slug": "mitsui-commodity-prediction-challenge", |
| "title": "MITSUI&CO. Commodity Prediction Challenge" |
| } |
| ] |
| }, |
| { |
| "id": "transportation-mobility-forecasting", |
| "name": "Transportation & Mobility Forecasting", |
| "description": "Predict transportation metrics including taxi fares, flight delays, transit demand, and traffic patterns.", |
| "competitions": [ |
| { |
| "slug": "nyc-taxi-trip-duration", |
| "title": "New York City Taxi Trip Duration" |
| }, |
| { |
| "slug": "new-york-city-taxi-fare-prediction", |
| "title": "New York City Taxi Fare Prediction" |
| }, |
| { |
| "slug": "pkdd-15-taxi-trip-time-prediction-ii", |
| "title": "ECML/PKDD 15: Taxi Trip Time Prediction (II)" |
| }, |
| { |
| "slug": "taxi-fare-prediction-challenge-epia-2017", |
| "title": "Taxi Fare Prediction Challenge @ EPIA 2017" |
| }, |
| { |
| "slug": "bike-sharing-demand", |
| "title": "Bike Sharing Demand" |
| }, |
| { |
| "slug": "flight-delays-fall-2018", |
| "title": "mlcourse.ai: Flight delays" |
| }, |
| { |
| "slug": "flight", |
| "title": "GE Flight Quest" |
| }, |
| { |
| "slug": "RTA", |
| "title": "RTA Freeway Travel Time Prediction" |
| }, |
| { |
| "slug": "bigquery-geotab-intersection-congestion", |
| "title": "BigQuery-Geotab Intersection Congestion" |
| }, |
| { |
| "slug": "traffic-accident", |
| "title": "SejongAI.\ud140\ud504\ub85c\uc81d\ud2b8.[\uad50\ud1b5\uc0ac\uace0 \ubc1c\uc0dd\ub7c9 \uc608\uce21]" |
| }, |
| { |
| "slug": "metro", |
| "title": "SejongAI.\ud140\ud504\ub85c\uc81d\ud2b8.[\uc11c\uc6b8\uad50\ud1b5\uacf5\uc0ac \ud6c4\ubd88 \uc2b9\ucc28\uc778\uc6d0 \uc608\uce21\ud558\uae30]" |
| }, |
| { |
| "slug": "2020-ai-termproject-18011793", |
| "title": "SejongAI.\ud140\ud504\ub85c\uc81d\ud2b8.[\ud574\uc6b4\ub300\uc5ed \ub0a0\uc9dc\ubcc4 \uc2b9\ud558\ucc28 \ud569\uacc4 \uc608\uce21 ]" |
| } |
| ] |
| }, |
| { |
| "id": "energy-utility-forecasting", |
| "name": "Energy & Utility Consumption Forecasting", |
| "description": "Forecast energy consumption, power generation, solar output, and wind energy production.", |
| "competitions": [ |
| { |
| "slug": "global-energy-forecasting-competition-2012-load-forecasting", |
| "title": "Global Energy Forecasting Competition 2012 - Load Forecasting" |
| }, |
| { |
| "slug": "GEF2012-wind-forecasting", |
| "title": "Global Energy Forecasting Competition 2012 - Wind Forecasting" |
| }, |
| { |
| "slug": "ams-2014-solar-energy-prediction-contest", |
| "title": "AMS 2013-2014 Solar Energy Prediction Contest" |
| }, |
| { |
| "slug": "ashrae-energy-prediction", |
| "title": "ASHRAE - Great Energy Predictor III" |
| }, |
| { |
| "slug": "predict-energy-behavior-of-prosumers", |
| "title": "Enefit - Predict Energy Behavior of Prosumers" |
| }, |
| { |
| "slug": "sejongyjelectricpowerprediction", |
| "title": "Sejong.YJ.ElectricPowerPrediction" |
| }, |
| { |
| "slug": "solarenergy-meteorologicalphenomenon2", |
| "title": "SejongAI.\ud140\ud504\ub85c\uc81d\ud2b8.[\uae30\uc0c1\ud604\uc0c1\uc5d0 \ub530\ub978 \ud0dc\uc591\uad11\ubc1c\uc804\ub7c9 \uc608\uce21]" |
| }, |
| { |
| "slug": "smart-homes-temperature-time-series-forecasting", |
| "title": "Smart Home's Temperature - Time Series Forecasting" |
| }, |
| { |
| "slug": "widsdatathon2022", |
| "title": "WiDS Datathon 2022" |
| }, |
| { |
| "slug": "widsdatathon2023", |
| "title": "WiDS Datathon 2023" |
| } |
| ] |
| } |
| ] |
| }, |
| { |
| "name": "Medical", |
| "subcategories": [ |
| { |
| "id": "medical-image-classification", |
| "name": "Medical Image Classification", |
| "description": "Classify medical images (X-rays, CT scans, histopathology slides) to detect diseases or abnormalities.", |
| "competitions": [ |
| { |
| "slug": "aptos2019-blindness-detection", |
| "title": "APTOS 2019 Blindness Detection" |
| }, |
| { |
| "slug": "diabetic-retinopathy-detection", |
| "title": "Diabetic Retinopathy Detection" |
| }, |
| { |
| "slug": "histopathologic-cancer-detection", |
| "title": "Histopathologic Cancer Detection" |
| }, |
| { |
| "slug": "hpa-single-cell-image-classification", |
| "title": "Human Protein Atlas - Single Cell Classification" |
| }, |
| { |
| "slug": "human-protein-atlas-image-classification", |
| "title": "Human Protein Atlas Image Classification" |
| }, |
| { |
| "slug": "intel-mobileodt-cervical-cancer-screening", |
| "title": "Intel & MobileODT Cervical Cancer Screening" |
| }, |
| { |
| "slug": "isic-2024-challenge", |
| "title": "ISIC 2024 - Skin Cancer Detection with 3D-TBP" |
| }, |
| { |
| "slug": "mayo-clinic-strip-ai", |
| "title": "Mayo Clinic - STRIP AI" |
| }, |
| { |
| "slug": "prostate-cancer-grade-assessment", |
| "title": "Prostate cANcer graDe Assessment (PANDA) Challenge" |
| }, |
| { |
| "slug": "ranzcr-clip-catheter-line-classification", |
| "title": "RANZCR CLiP - Catheter and Line Position Challenge" |
| }, |
| { |
| "slug": "rsna-breast-cancer-detection", |
| "title": "RSNA Screening Mammography Breast Cancer Detection" |
| }, |
| { |
| "slug": "rsna-intracranial-aneurysm-detection", |
| "title": "RSNA Intracranial Aneurysm Detection" |
| }, |
| { |
| "slug": "rsna-intracranial-hemorrhage-detection", |
| "title": "RSNA Intracranial Hemorrhage Detection" |
| }, |
| { |
| "slug": "rsna-miccai-brain-tumor-radiogenomic-classification", |
| "title": "RSNA-MICCAI Brain Tumor Radiogenomic Classification" |
| }, |
| { |
| "slug": "rsna-pneumonia-detection-challenge", |
| "title": "RSNA Pneumonia Detection Challenge" |
| }, |
| { |
| "slug": "rsna-str-pulmonary-embolism-detection", |
| "title": "RSNA STR Pulmonary Embolism Detection" |
| }, |
| { |
| "slug": "siim-covid19-detection", |
| "title": "SIIM-FISABIO-RSNA COVID-19 Detection" |
| }, |
| { |
| "slug": "siim-isic-melanoma-classification", |
| "title": "SIIM-ISIC Melanoma Classification" |
| }, |
| { |
| "slug": "unifesp-x-ray-body-part-classifier", |
| "title": "UNIFESP X-ray Body Part Classifier Competition" |
| }, |
| { |
| "slug": "vinbigdata-chest-xray-abnormalities-detection", |
| "title": "VinBigData Chest X-ray Abnormalities Detection" |
| } |
| ] |
| }, |
| { |
| "id": "brain-signal-analysis", |
| "name": "Brain Signal and EEG Analysis", |
| "description": "Analyze EEG and brain imaging signals to detect neurological conditions or predict brain activity states.", |
| "competitions": [ |
| { |
| "slug": "decoding-the-human-brain", |
| "title": "DecMeg2014 - Decoding the Human Brain" |
| }, |
| { |
| "slug": "grasp-and-lift-eeg-detection", |
| "title": "Grasp-and-Lift EEG Detection" |
| }, |
| { |
| "slug": "hms-harmful-brain-activity-classification", |
| "title": "HMS - Harmful Brain Activity Classification" |
| }, |
| { |
| "slug": "inria-bci-challenge", |
| "title": "BCI Challenge @ NER 2015" |
| }, |
| { |
| "slug": "mlsp-2014-mri", |
| "title": "MLSP 2014 Schizophrenia Classification Challenge" |
| }, |
| { |
| "slug": "seizure-detection", |
| "title": "UPenn and Mayo Clinic's Seizure Detection Challenge" |
| }, |
| { |
| "slug": "seizure-prediction", |
| "title": "American Epilepsy Society Seizure Prediction Challenge" |
| }, |
| { |
| "slug": "melbourne-university-seizure-prediction", |
| "title": "Melbourne University AES/MathWorks/NIH Seizure Prediction" |
| }, |
| { |
| "slug": "child-mind-institute-detect-sleep-states", |
| "title": "Child Mind Institute - Detect Sleep States" |
| }, |
| { |
| "slug": "trends-assessment-prediction", |
| "title": "TReNDS Neuroimaging" |
| }, |
| { |
| "slug": "connectomics", |
| "title": "CONNECTOMICS" |
| } |
| ] |
| }, |
| { |
| "id": "clinical-risk-prediction", |
| "name": "Clinical Risk and Outcome Prediction", |
| "description": "Predict patient health risks, disease presence, or clinical outcomes from tabular clinical and demographic data.", |
| "competitions": [ |
| { |
| "slug": "autism-prediction", |
| "title": "ML Olympiad - Autism Prediction Challenge" |
| }, |
| { |
| "slug": "autismdiagnosis", |
| "title": "Autism Prediction" |
| }, |
| { |
| "slug": "body-morphometry-for-sarcopenia", |
| "title": "Body morphometry for sarcopenia" |
| }, |
| { |
| "slug": "child-mind-institute-problematic-internet-use", |
| "title": "Child Mind Institute \u2014 Problematic Internet Use" |
| }, |
| { |
| "slug": "icr-identify-age-related-conditions", |
| "title": "ICR - Identifying Age-Related Conditions" |
| }, |
| { |
| "slug": "msk-redefining-cancer-treatment", |
| "title": "Personalized Medicine: Redefining Cancer Treatment" |
| }, |
| { |
| "slug": "physionet-ecg-image-digitization", |
| "title": "PhysioNet - Digitization of ECG Images" |
| }, |
| { |
| "slug": "playground-series-s5e12", |
| "title": "Diabetes Prediction Challenge" |
| }, |
| { |
| "slug": "playground-series-s6e2", |
| "title": "Predicting Heart Disease" |
| }, |
| { |
| "slug": "UBC-OCEAN", |
| "title": "UBC Ovarian Cancer Subtype Classification and Outlier Detection (UBC-OCEAN)" |
| }, |
| { |
| "slug": "mlrw-biomedicalhackathon", |
| "title": "MLRW 2022 : AI Driven Biomedical Hackathon" |
| } |
| ] |
| }, |
| { |
| "id": "medical-image-segmentation", |
| "name": "Medical Image Segmentation", |
| "description": "Segment anatomical structures or abnormalities from medical images at the pixel or voxel level.", |
| "competitions": [ |
| { |
| "slug": "blood-vessel-segmentation", |
| "title": "SenNet + HOA - Hacking the Human Vasculature in 3D" |
| }, |
| { |
| "slug": "hubmap-hacking-the-human-vasculature", |
| "title": "HuBMAP - Hacking the Human Vasculature" |
| }, |
| { |
| "slug": "hubmap-kidney-segmentation", |
| "title": "HuBMAP - Hacking the Kidney" |
| }, |
| { |
| "slug": "hubmap-organ-segmentation", |
| "title": "HuBMAP + HPA - Hacking the Human Body" |
| }, |
| { |
| "slug": "sartorius-cell-instance-segmentation", |
| "title": "Sartorius - Cell Instance Segmentation" |
| }, |
| { |
| "slug": "siim-acr-pneumothorax-segmentation", |
| "title": "SIIM-ACR Pneumothorax Segmentation" |
| }, |
| { |
| "slug": "ultrasound-nerve-segmentation", |
| "title": "Ultrasound Nerve Segmentation" |
| }, |
| { |
| "slug": "uw-madison-gi-tract-image-segmentation", |
| "title": "UW-Madison GI Tract Image Segmentation" |
| }, |
| { |
| "slug": "rsna-2022-cervical-spine-fracture-detection", |
| "title": "RSNA 2022 Cervical Spine Fracture Detection" |
| }, |
| { |
| "slug": "rsna-2023-abdominal-trauma-detection", |
| "title": "RSNA 2023 Abdominal Trauma Detection" |
| }, |
| { |
| "slug": "rsna-2024-lumbar-spine-degenerative-classification", |
| "title": "RSNA 2024 Lumbar Spine Degenerative Classification" |
| } |
| ] |
| }, |
| { |
| "id": "disease-progression-prediction", |
| "name": "Disease Progression and Longitudinal Prediction", |
| "description": "Predict disease progression or clinical outcomes from time-series or longitudinal patient data.", |
| "competitions": [ |
| { |
| "slug": "amp-parkinsons-disease-progression-prediction", |
| "title": "AMP\u00ae-Parkinson's Disease Progression Prediction" |
| }, |
| { |
| "slug": "osic-pulmonary-fibrosis-progression", |
| "title": "OSIC Pulmonary Fibrosis Progression" |
| }, |
| { |
| "slug": "tlvmc-parkinsons-freezing-gait-prediction", |
| "title": "Parkinson's Freezing of Gait Prediction" |
| }, |
| { |
| "slug": "equity-post-HCT-survival-predictions", |
| "title": "CIBMTR - Equity in post-HCT Survival Predictions" |
| }, |
| { |
| "slug": "hivprogression", |
| "title": "Predict HIV Progression" |
| }, |
| { |
| "slug": "hhp", |
| "title": "Heritage Health Prize" |
| } |
| ] |
| } |
| ] |
| }, |
| { |
| "name": "Science / Physics", |
| "subcategories": [ |
| { |
| "id": "astronomy-space-signal-detection", |
| "name": "Astronomy & Space Signal Detection", |
| "description": "Classification and detection of astronomical objects and signals from telescope/sensor data including gravitational waves, cosmic rays, and optical surveys.", |
| "competitions": [ |
| { |
| "slug": "DarkWorlds", |
| "title": "Observing Dark Worlds" |
| }, |
| { |
| "slug": "PLAsTiCC-2018", |
| "title": "PLAsTiCC Astronomical Classification" |
| }, |
| { |
| "slug": "ariel-data-challenge-2024", |
| "title": "NeurIPS - Ariel Data Challenge 2024" |
| }, |
| { |
| "slug": "ariel-data-challenge-2025", |
| "title": "NeurIPS - Ariel Data Challenge 2025" |
| }, |
| { |
| "slug": "dark-matter-signal-search-episode-1", |
| "title": "Dark Matter signal search. Episode 1." |
| }, |
| { |
| "slug": "g2net-detecting-continuous-gravitational-waves", |
| "title": "G2Net Detecting Continuous Gravitational Waves" |
| }, |
| { |
| "slug": "g2net-gravitational-wave-detection", |
| "title": "G2Net Gravitational Wave Detection" |
| }, |
| { |
| "slug": "galaxy-zoo-the-galaxy-challenge", |
| "title": "Galaxy Zoo - The Galaxy Challenge" |
| }, |
| { |
| "slug": "icecube-neutrinos-in-deep-ice", |
| "title": "IceCube - Neutrinos in Deep Ice" |
| }, |
| { |
| "slug": "seti-breakthrough-listen", |
| "title": "SETI Breakthrough Listen - E.T. Signal Search" |
| }, |
| { |
| "slug": "mdm", |
| "title": "Mapping Dark Matter" |
| } |
| ] |
| }, |
| { |
| "id": "molecular-biochemical-prediction", |
| "name": "Molecular & Biochemical Property Prediction", |
| "description": "Prediction of molecular properties, biochemical structures, stability, and mechanisms of action from sequence or structural data.", |
| "competitions": [ |
| { |
| "slug": "czii-cryo-et-object-identification", |
| "title": "CZII - CryoET Object Identification" |
| }, |
| { |
| "slug": "leash-BELKA", |
| "title": "NeurIPS 2024 - Predict New Medicines with BELKA" |
| }, |
| { |
| "slug": "lish-moa", |
| "title": "Mechanisms of Action (MoA) Prediction" |
| }, |
| { |
| "slug": "novozymes-enzyme-stability-prediction", |
| "title": "Novozymes Enzyme Stability Prediction" |
| }, |
| { |
| "slug": "stanford-covid-vaccine", |
| "title": "OpenVaccine: COVID-19 mRNA Vaccine Degradation Prediction" |
| }, |
| { |
| "slug": "stanford-ribonanza-rna-folding", |
| "title": "Stanford Ribonanza RNA Folding" |
| }, |
| { |
| "slug": "stanford-rna-3d-folding", |
| "title": "Stanford RNA 3D Folding" |
| }, |
| { |
| "slug": "open-problems-single-cell-perturbations", |
| "title": "Open Problems \u2013 Single-Cell Perturbations" |
| }, |
| { |
| "slug": "champs-scalar-coupling", |
| "title": "Predicting Molecular Properties" |
| }, |
| { |
| "slug": "neurips-open-polymer-prediction-2025", |
| "title": "NeurIPS - Open Polymer Prediction 2025" |
| }, |
| { |
| "slug": "nomad2018-predict-transparent-conductors", |
| "title": "Nomad2018 Predicting Transparent Conductors" |
| } |
| ] |
| }, |
| { |
| "id": "natural-disaster-geophysics-prediction", |
| "name": "Natural Disaster & Geophysics Prediction", |
| "description": "Prediction of seismic, volcanic, solar, and meteorological events along with particle trajectory identification and wave analysis.", |
| "competitions": [ |
| { |
| "slug": "LANL-Earthquake-Prediction", |
| "title": "LANL Earthquake Prediction" |
| }, |
| { |
| "slug": "bigdata2019-flare-prediction", |
| "title": "BigData Cup Challenge 2019: Flare Prediction" |
| }, |
| { |
| "slug": "predict-volcanic-eruptions-ingv-oe", |
| "title": "INGV - Volcanic Eruption Prediction" |
| }, |
| { |
| "slug": "waveform-inversion", |
| "title": "Yale/UNC-CH - Geophysical Waveform Inversion" |
| }, |
| { |
| "slug": "can-i-make-a-wish-detecting-shooting-stars", |
| "title": "Can I make a wish? Detecting shooting stars" |
| }, |
| { |
| "slug": "higgs-boson", |
| "title": "Higgs Boson Machine Learning Challenge" |
| }, |
| { |
| "slug": "flavours-of-physics", |
| "title": "Flavours of Physics: Finding \u03c4 \u2192 \u03bc\u03bc\u03bc" |
| }, |
| { |
| "slug": "trackml-particle-identification", |
| "title": "TrackML Particle Tracking Challenge" |
| }, |
| { |
| "slug": "leap-atmospheric-physics-ai-climsim", |
| "title": "LEAP - Atmospheric Physics using AI (ClimSim)" |
| }, |
| { |
| "slug": "byu-locating-bacterial-flagellar-motors-2025", |
| "title": "BYU - Locating Bacterial Flagellar Motors 2025" |
| } |
| ] |
| } |
| ] |
| }, |
| { |
| "name": "Recommender Systems", |
| "subcategories": [ |
| { |
| "id": "content-click-engagement-prediction", |
| "name": "Content, Click & Engagement Prediction", |
| "description": "Predicting user clicks, engagement, and interest in web content, ads, jobs, events, and personalized search results.", |
| "competitions": [ |
| { |
| "slug": "FacebookRecruiting", |
| "title": "Facebook Recruiting Competition" |
| }, |
| { |
| "slug": "coupon-purchase-prediction", |
| "title": "Coupon Purchase Prediction" |
| }, |
| { |
| "slug": "outbrain-click-prediction", |
| "title": "Outbrain Click Prediction" |
| }, |
| { |
| "slug": "job-recommendation", |
| "title": "Job Recommendation Challenge" |
| }, |
| { |
| "slug": "event-recommendation-engine-challenge", |
| "title": "Event Recommendation Engine Challenge" |
| }, |
| { |
| "slug": "yandex-personalized-web-search-challenge", |
| "title": "Personalized Web Search Challenge" |
| }, |
| { |
| "slug": "predict-wordpress-likes", |
| "title": "GigaOM WordPress Challenge: Splunk Innovation Prospect" |
| }, |
| { |
| "slug": "learning-equality-curriculum-recommendations", |
| "title": "Learning Equality - Curriculum Recommendations" |
| } |
| ] |
| }, |
| { |
| "id": "ecommerce-booking-recommendations", |
| "name": "E-Commerce & Service Booking Recommendations", |
| "description": "Recommendations for products, services, or bookings based on user preferences and transaction history in commercial platforms.", |
| "competitions": [ |
| { |
| "slug": "airbnb-recruiting-new-user-bookings", |
| "title": "Airbnb New User Bookings" |
| }, |
| { |
| "slug": "expedia-hotel-recommendations", |
| "title": "Expedia Hotel Recommendations" |
| }, |
| { |
| "slug": "expedia-personalized-sort", |
| "title": "Personalize Expedia Hotel Searches - ICDM 2013" |
| }, |
| { |
| "slug": "h-and-m-personalized-fashion-recommendations", |
| "title": "H&M Personalized Fashion Recommendations" |
| }, |
| { |
| "slug": "otto-recommender-system", |
| "title": "OTTO \u2013 Multi-Objective Recommender System" |
| }, |
| { |
| "slug": "santander-product-recommendation", |
| "title": "Santander Product Recommendation" |
| }, |
| { |
| "slug": "yelp-recsys-2013", |
| "title": "RecSys2013: Yelp Business Rating Prediction" |
| } |
| ] |
| }, |
| { |
| "id": "data-mining-hackathons-academic", |
| "name": "Data Mining Hackathons & Academic Challenges", |
| "description": "Academic and hackathon-style competitions focused on data mining and machine learning with smaller datasets or educational focus.", |
| "competitions": [ |
| { |
| "slug": "acm-sf-chapter-hackathon-big", |
| "title": "Data Mining Hackathon on BIG DATA (7GB) Best Buy mobile web site" |
| }, |
| { |
| "slug": "acm-sf-chapter-hackathon-small", |
| "title": "Data Mining Hackathon on (20 mb) Best Buy mobile web site - ACM SF Bay Area Chapter" |
| }, |
| { |
| "slug": "cs5785-fall-2021-final", |
| "title": "CS5785 Fall 2021 Final" |
| }, |
| { |
| "slug": "eci2017-2", |
| "title": "Competencia de Aprendizaje Autom\u00e1tico (ECI 2017) #2" |
| }, |
| { |
| "slug": "wec-ml-mentorship-contest", |
| "title": "WEC ML Mentorship Contest" |
| }, |
| { |
| "slug": "playground-series-s5e6", |
| "title": "Predicting Optimal Fertilizers" |
| } |
| ] |
| }, |
| { |
| "id": "music-media-recommendations", |
| "name": "Music & Media Content Recommendations", |
| "description": "Recommendations for music, songs, movies, and entertainment content based on user listening/viewing patterns and preferences.", |
| "competitions": [ |
| { |
| "slug": "kkbox-music-recommendation-challenge", |
| "title": "WSDM - KKBox's Music Recommendation Challenge" |
| }, |
| { |
| "slug": "msdchallenge", |
| "title": "Million Song Dataset Challenge" |
| }, |
| { |
| "slug": "netflix-appetency", |
| "title": "Netflix Appetency" |
| }, |
| { |
| "slug": "ee627a-2019fall", |
| "title": "Music Recommender System" |
| }, |
| { |
| "slug": "elo-merchant-category-recommendation", |
| "title": "Elo Merchant Category Recommendation" |
| } |
| ] |
| } |
| ] |
| }, |
| { |
| "name": "Miscellaneous", |
| "subcategories": [ |
| { |
| "id": "reasoning-and-problem-solving", |
| "name": "Reasoning, Abstraction, and Pattern Recognition", |
| "description": "Competitions focused on abstract reasoning, pattern recognition, sequence learning, and reverse-engineering problems.", |
| "competitions": [ |
| { |
| "slug": "abstraction-and-reasoning-challenge", |
| "title": "Abstraction and Reasoning Challenge" |
| }, |
| { |
| "slug": "arc-prize-2024", |
| "title": "ARC Prize 2024" |
| }, |
| { |
| "slug": "arc-prize-2025", |
| "title": "ARC Prize 2025" |
| }, |
| { |
| "slug": "conway-s-reverse-game-of-life", |
| "title": "Conway's Reverse Game of Life" |
| }, |
| { |
| "slug": "conways-reverse-game-of-life-2020", |
| "title": "Conway's Reverse Game of Life 2020" |
| }, |
| { |
| "slug": "integer-sequence-learning", |
| "title": "Integer Sequence Learning" |
| }, |
| { |
| "slug": "openai-to-z-challenge", |
| "title": "OpenAI to Z Challenge" |
| } |
| ] |
| }, |
| { |
| "id": "tabular-machine-learning", |
| "name": "Tabular Machine Learning Competitions", |
| "description": "Standard supervised learning competitions on tabular datasets with classification or regression objectives.", |
| "competitions": [ |
| { |
| "slug": "playground-series-s3e3", |
| "title": "Binary Classification with a Tabular Employee Attrition Dataset" |
| }, |
| { |
| "slug": "playground-series-s3e4", |
| "title": "Binary Classification with a Tabular Credit Card Fraud Dataset" |
| }, |
| { |
| "slug": "playground-series-s3e5", |
| "title": "Ordinal Regression with a Tabular Wine Quality Dataset" |
| }, |
| { |
| "slug": "playground-series-s3e6", |
| "title": "Regression with a Tabular Paris Housing Price Dataset" |
| }, |
| { |
| "slug": "playground-series-s3e7", |
| "title": "Binary Classification with a Tabular Reservation Cancellation Dataset" |
| }, |
| { |
| "slug": "playground-series-s3e8", |
| "title": "Regression with a Tabular Gemstone Price Dataset" |
| }, |
| { |
| "slug": "playground-series-s3e9", |
| "title": "Regression with a Tabular Concrete Strength Dataset" |
| } |
| ] |
| }, |
| { |
| "id": "ai-innovation-and-applications", |
| "name": "AI Innovation Hackathons and Research Challenges", |
| "description": "Hackathons and special challenges focused on building innovative AI solutions and advancing machine learning research.", |
| "competitions": [ |
| { |
| "slug": "bigquery-ai-hackathon", |
| "title": "BigQuery AI - Building the Future of Data" |
| }, |
| { |
| "slug": "google-gemma-3n-hackathon", |
| "title": "Google - The Gemma 3n Impact Challenge" |
| }, |
| { |
| "slug": "meta-kaggle-hackathon", |
| "title": "Meta Kaggle Hackathon" |
| }, |
| { |
| "slug": "neurips-2023-machine-unlearning", |
| "title": "NeurIPS 2023 - Machine Unlearning" |
| }, |
| { |
| "slug": "konwinski-prize", |
| "title": "Konwinski Prize" |
| } |
| ] |
| }, |
| { |
| "id": "domain-analytics", |
| "name": "Domain-Specific Analytics Challenges", |
| "description": "Analytics competitions focused on specific domains like sports and education with actionable insights as primary objective.", |
| "competitions": [ |
| { |
| "slug": "nfl-big-data-bowl-2026-analytics", |
| "title": "NFL Big Data Bowl 2026 - Analytics" |
| }, |
| { |
| "slug": "map-charting-student-math-misunderstandings", |
| "title": "MAP - Charting Student Math Misunderstandings" |
| }, |
| { |
| "slug": "2023-kaggle-ai-report", |
| "title": "2023 Kaggle AI Report" |
| } |
| ] |
| } |
| ] |
| }, |
| { |
| "name": "Optimization / Operations Research", |
| "subcategories": [ |
| { |
| "id": "scheduling-sequencing-permutation", |
| "name": "Scheduling, Sequencing & Permutation Optimization", |
| "description": "Problems requiring optimal ordering, scheduling, or arrangement of items/tasks with various constraints.", |
| "competitions": [ |
| { |
| "slug": "santa-2019-revenge-of-the-accountants", |
| "title": "Santa 2019 - Revenge of the Accountants" |
| }, |
| { |
| "slug": "santa-2020", |
| "title": "Santa 2020 - The Candy Cane Contest" |
| }, |
| { |
| "slug": "santa-2021", |
| "title": "Santa 2021 - The Merry Movie Montage" |
| }, |
| { |
| "slug": "santa-2022", |
| "title": "Santa 2022 - The Christmas Card Conundrum" |
| }, |
| { |
| "slug": "santa-2023", |
| "title": "Santa 2023 - The Polytope Permutation Puzzle" |
| }, |
| { |
| "slug": "santa-2024", |
| "title": "Santa 2024 - The Perplexity Permutation Puzzle" |
| }, |
| { |
| "slug": "santa-2025", |
| "title": "Santa 2025 - Christmas Tree Packing Challenge" |
| }, |
| { |
| "slug": "helping-santas-helpers", |
| "title": "Helping Santa's Helpers" |
| }, |
| { |
| "slug": "santa-gift-matching", |
| "title": "Santa Gift Matching Challenge" |
| } |
| ] |
| }, |
| { |
| "id": "packing-allocation-logistics", |
| "name": "Packing, Allocation & Logistics Optimization", |
| "description": "Problems focused on resource allocation, packing, delivery planning, and constraint-based distribution.", |
| "competitions": [ |
| { |
| "slug": "packing-santas-sleigh", |
| "title": "Packing Santa's Sleigh" |
| }, |
| { |
| "slug": "santas-uncertain-bags", |
| "title": "Santa's Uncertain Bags" |
| }, |
| { |
| "slug": "flight2-milestone", |
| "title": "Flight Quest 2: Flight Optimization, Milestone Phase" |
| }, |
| { |
| "slug": "hashcode-drone-delivery", |
| "title": "Hash Code Archive - Drone Delivery" |
| }, |
| { |
| "slug": "hashcode-photo-slideshow", |
| "title": "Hash Code Archive - Photo Slideshow Optimization" |
| } |
| ] |
| }, |
| { |
| "id": "traveling-salesman-routing", |
| "name": "Traveling Salesman & Route Optimization", |
| "description": "Problems focused on finding optimal routes and paths through locations, minimizing distance or time.", |
| "competitions": [ |
| { |
| "slug": "traveling-santa-2018-prime-paths", |
| "title": "Traveling Santa 2018 - Prime Paths" |
| }, |
| { |
| "slug": "traveling-santa-problem", |
| "title": "Traveling Santa Problem" |
| }, |
| { |
| "slug": "tsp-cv", |
| "title": "Traveling Salesmen Computer Vision" |
| }, |
| { |
| "slug": "santa-workshop-tour-2019", |
| "title": "Santa's Workshop Tour 2019" |
| }, |
| { |
| "slug": "santas-stolen-sleigh", |
| "title": "Santa's Stolen Sleigh" |
| } |
| ] |
| } |
| ] |
| }, |
| { |
| "name": "Geospatial", |
| "subcategories": [ |
| { |
| "id": "location-positioning-trajectory", |
| "name": "Location Positioning & Trajectory Prediction", |
| "description": "Competitions involving positioning accuracy, location matching, trajectory prediction, and check-in/movement pattern forecasting.", |
| "competitions": [ |
| { |
| "slug": "google-smartphone-decimeter-challenge", |
| "title": "Google Smartphone Decimeter Challenge" |
| }, |
| { |
| "slug": "smartphone-decimeter-2022", |
| "title": "Google Smartphone Decimeter Challenge 2022" |
| }, |
| { |
| "slug": "indoor-location-navigation", |
| "title": "Indoor Location & Navigation" |
| }, |
| { |
| "slug": "foursquare-location-matching", |
| "title": "Foursquare - Location Matching" |
| }, |
| { |
| "slug": "facebook-v-predicting-check-ins", |
| "title": "Facebook V: Predicting Check Ins" |
| }, |
| { |
| "slug": "facebook-ii", |
| "title": "Facebook II - Mapping the Internet" |
| }, |
| { |
| "slug": "pkdd-15-predict-taxi-service-trajectory-i", |
| "title": "ECML/PKDD 15: Taxi Trajectory Prediction (I)" |
| } |
| ] |
| }, |
| { |
| "id": "satellite-imagery-analysis", |
| "name": "Satellite Imagery Analysis", |
| "description": "Competitions focused on analyzing satellite imagery for object detection, feature identification, land use classification, and environmental monitoring.", |
| "competitions": [ |
| { |
| "slug": "draper-satellite-image-chronology", |
| "title": "Draper Satellite Image Chronology" |
| }, |
| { |
| "slug": "dstl-satellite-imagery-feature-detection", |
| "title": "Dstl Satellite Imagery Feature Detection" |
| }, |
| { |
| "slug": "planet-understanding-the-amazon-from-space", |
| "title": "Planet: Understanding the Amazon from Space" |
| }, |
| { |
| "slug": "understanding_cloud_organization", |
| "title": "Understanding Clouds from Satellite Images" |
| }, |
| { |
| "slug": "google-research-identify-contrails-reduce-global-warming", |
| "title": "Google Research - Identify Contrails to Reduce Global Warming" |
| } |
| ] |
| }, |
| { |
| "id": "species-distribution-environmental", |
| "name": "Species Distribution & Environmental Analysis", |
| "description": "Competitions centered on predicting species geographic distribution and environmental impact assessment from geospatial data.", |
| "competitions": [ |
| { |
| "slug": "geolifeclef-2022-lifeclef-2022-fgvc9", |
| "title": "GeoLifeCLEF 2022 - LifeCLEF 2022 x FGVC9" |
| }, |
| { |
| "slug": "geolifeclef-2024", |
| "title": "GeoLifeCLEF 2024 @ LifeCLEF & CVPR-FGVC" |
| }, |
| { |
| "slug": "predict-impact-of-air-quality-on-death-rates", |
| "title": "Predict impact of air quality on mortality rates" |
| }, |
| { |
| "slug": "playground-series-s3e20", |
| "title": "Predict CO2 Emissions in Rwanda" |
| } |
| ] |
| } |
| ] |
| }, |
| { |
| "name": "Reinforcement Learning / Games", |
| "subcategories": [ |
| { |
| "id": "game-playing-agents", |
| "name": "Game-Playing Agents", |
| "description": "Competitions focused on developing RL agents for complex multi-agent games with resource management, strategy, and competitive dynamics.", |
| "competitions": [ |
| { |
| "slug": "lux-ai-2021", |
| "title": "Lux AI" |
| }, |
| { |
| "slug": "lux-ai-season-2", |
| "title": "Lux AI Season 2" |
| }, |
| { |
| "slug": "lux-ai-season-2-neurips-stage-2", |
| "title": "Lux AI Season 2 - NeurIPS Stage 2" |
| }, |
| { |
| "slug": "lux-ai-season-3", |
| "title": "NeurIPS 2024 - Lux AI Season 3" |
| }, |
| { |
| "slug": "kore-2022", |
| "title": "Kore 2022" |
| }, |
| { |
| "slug": "kore-2022-beta", |
| "title": "Kore 2022 - Beta" |
| }, |
| { |
| "slug": "halite", |
| "title": "Halite by Two Sigma" |
| }, |
| { |
| "slug": "halite-iv-playground-edition", |
| "title": "Halite by Two Sigma - Playground Edition" |
| }, |
| { |
| "slug": "google-football", |
| "title": "Google Research Football with Manchester City F.C." |
| }, |
| { |
| "slug": "hungry-geese", |
| "title": "Hungry Geese" |
| }, |
| { |
| "slug": "aidefensegame18011862", |
| "title": "AIDefenseGame18011862" |
| } |
| ] |
| }, |
| { |
| "id": "rl-research-applications", |
| "name": "RL Research and Specialized Applications", |
| "description": "Competitions and research projects exploring RL applications in specialized domains, algorithm variants, and agent development frameworks.", |
| "competitions": [ |
| { |
| "slug": "iasdm2drl2022", |
| "title": "DRL for Finance" |
| }, |
| { |
| "slug": "rock-paper-scissors", |
| "title": "Rock, Paper, Scissors" |
| }, |
| { |
| "slug": "um-game-playing-strength-of-mcts-variants", |
| "title": "UM - Game-Playing Strength of MCTS Variants" |
| }, |
| { |
| "slug": "agents-intensive-capstone-project", |
| "title": "Agents Intensive - Capstone Project" |
| } |
| ] |
| } |
| ] |
| }, |
| { |
| "name": "Audio", |
| "subcategories": [ |
| { |
| "id": "species-sound-identification", |
| "name": "Species Sound Identification", |
| "description": "Identify and classify specific species (primarily birds) from audio recordings using bioacoustic analysis.", |
| "competitions": [ |
| { |
| "slug": "birdclef-2021", |
| "title": "BirdCLEF 2021 - Birdcall Identification" |
| }, |
| { |
| "slug": "birdclef-2022", |
| "title": "BirdCLEF 2022" |
| }, |
| { |
| "slug": "birdclef-2023", |
| "title": "BirdCLEF 2023" |
| }, |
| { |
| "slug": "birdclef-2024", |
| "title": "BirdCLEF 2024" |
| }, |
| { |
| "slug": "birdclef-2025", |
| "title": "BirdCLEF+ 2025" |
| }, |
| { |
| "slug": "birdsong-recognition", |
| "title": "Cornell Birdcall Identification" |
| }, |
| { |
| "slug": "rfcx-species-audio-detection", |
| "title": "Rainforest Connection Species Audio Detection" |
| } |
| ] |
| }, |
| { |
| "id": "general-audio-tagging-classification", |
| "name": "General Audio Tagging & Classification", |
| "description": "Classify and tag diverse audio content including music genres, sound types, and general audio events.", |
| "competitions": [ |
| { |
| "slug": "2019-pr-midterm-musicclassification", |
| "title": "2019-PR-Midterm-MusicClassification" |
| }, |
| { |
| "slug": "dcase2019-task1a-leaderboard", |
| "title": "DCASE2019 Challenge - Task1A Leaderboard" |
| }, |
| { |
| "slug": "freesound-audio-tagging", |
| "title": "Freesound General-Purpose Audio Tagging Challenge" |
| }, |
| { |
| "slug": "freesound-audio-tagging-2019", |
| "title": "Freesound Audio Tagging 2019" |
| }, |
| { |
| "slug": "kaggle-pog-series-s01e02", |
| "title": "Music Classification" |
| } |
| ] |
| } |
| ] |
| }, |
| { |
| "name": "Code / Programming", |
| "subcategories": [ |
| { |
| "id": "mathematical-optimization-and-security", |
| "name": "Mathematical Problem Solving, Optimization & Cybersecurity", |
| "description": "Competitions combining mathematical problem solving, code optimization challenges, and security-focused capture-the-flag exercises.", |
| "competitions": [ |
| { |
| "slug": "ai-mathematical-olympiad-prize", |
| "title": "AI Mathematical Olympiad - Progress Prize 1" |
| }, |
| { |
| "slug": "ai-mathematical-olympiad-progress-prize-2", |
| "title": "AI Mathematical Olympiad - Progress Prize 2" |
| }, |
| { |
| "slug": "google-code-golf-2025", |
| "title": "NeurIPS 2025 - Google Code Golf Championship" |
| }, |
| { |
| "slug": "ai-village-capture-the-flag-defcon31", |
| "title": "AI Village Capture the Flag @ DEFCON31" |
| }, |
| { |
| "slug": "ai-village-ctf", |
| "title": "AI Village Capture the Flag @ DEFCON" |
| } |
| ] |
| }, |
| { |
| "id": "code-analysis-and-prediction", |
| "name": "Code & System Analysis and Prediction", |
| "description": "Competitions involving analyzing code, binaries, or AI systems to understand characteristics, classify content, or predict performance metrics.", |
| "competitions": [ |
| { |
| "slug": "AI4Code", |
| "title": "Google AI4Code \u2013 Understand Code in Python Notebooks" |
| }, |
| { |
| "slug": "malware-classification", |
| "title": "Microsoft Malware Classification Challenge (BIG 2015)" |
| }, |
| { |
| "slug": "fide-google-efficiency-chess-ai-challenge", |
| "title": "FIDE & Google Efficient Chess AI Challenge" |
| }, |
| { |
| "slug": "predict-ai-model-runtime", |
| "title": "Google - Fast or Slow? Predict AI Model Runtime" |
| } |
| ] |
| } |
| ] |
| }, |
| { |
| "name": "Graphs / Networks", |
| "subcategories": [ |
| { |
| "id": "entity-resolution-community-detection", |
| "name": "Entity Resolution & Community Detection", |
| "description": "Identify and disambiguate entities in networks while discovering community structures and relationships.", |
| "competitions": [ |
| { |
| "slug": "kdd-cup-2013-author-disambiguation", |
| "title": "KDD Cup 2013 - Author Disambiguation Challenge (Track 2)" |
| }, |
| { |
| "slug": "kdd-cup-2013-author-paper-identification-challenge", |
| "title": "KDD Cup 2013 - Author-Paper Identification Challenge (Track 1)" |
| }, |
| { |
| "slug": "learning-social-circles", |
| "title": "Learning Social Circles in Networks" |
| }, |
| { |
| "slug": "socialNetwork", |
| "title": "IJCNN Social Network Challenge" |
| } |
| ] |
| }, |
| { |
| "id": "link-prediction", |
| "name": "Link Prediction", |
| "description": "Predict missing or future connections and edges in networks using graph structure and node features.", |
| "competitions": [ |
| { |
| "slug": "icdm-2015-drawbridge-cross-device-connections", |
| "title": "ICDM 2015: Drawbridge Cross-Device Connections" |
| }, |
| { |
| "slug": "msuedges", |
| "title": "\u041f\u0440\u043e\u0433\u043d\u043e\u0437 \u043f\u043e\u044f\u0432\u043b\u0435\u043d\u0438\u044f \u0440\u0451\u0431\u0435\u0440 (\u041c\u041c\u041f, \u0412\u041c\u041a, \u041c\u0413\u0423)" |
| }, |
| { |
| "slug": "obj2vec", |
| "title": "\u0420\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044f \u0441\u0445\u043e\u0434\u0441\u0442\u0432 \u0433\u0440\u0430\u0444\u043e\u043c" |
| }, |
| { |
| "slug": "whoisafriend", |
| "title": "Who is a Friend?" |
| } |
| ] |
| } |
| ] |
| }, |
| { |
| "name": "Speech", |
| "subcategories": [ |
| { |
| "id": "speech", |
| "name": "Speech", |
| "description": "Miscellaneous speech competitions", |
| "competitions": [ |
| { |
| "slug": "bengaliai-speech", |
| "title": "Bengali.AI Speech Recognition" |
| }, |
| { |
| "slug": "tensorflow-speech-recognition-challenge", |
| "title": "TensorFlow Speech Recognition Challenge" |
| } |
| ] |
| } |
| ] |
| } |
| ] |
| } |
