25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Anchorage 2019
217 Videos · Aug 4, 2019
About
KDD 2019, a premier interdisciplinary conference, brings together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data.
Videos
Opening Ceremony
KDD 2019 Opening Session
Feb 18, 2024
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Keynote Talks
Plenary Keynote Panel
Feb 18, 2024
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The Unreasonable Effectiveness and Difficulty of Data in Healthcare
Feb 18, 2024
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Do Simpler Models Exist and How Can We Find Them?
Feb 18, 2024
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Applied Data Science Invited Speakers
Earth Observations from a New Generation of Geostationary Satellites
Mar 2, 2020
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KDD Project Showcase
X5GON: Connecting OER Repositories
Feb 18, 2024
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enviroLENS – An innovative Earth Observation Platform for Environmental law enfo...
Feb 18, 2024
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Multi-Modal Context Aware Monitoring System for Smart Classrooms
Feb 18, 2024
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Urban-Net: A System to Understand and Analyze Critical Infrastructure Networks f...
Feb 18, 2024
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TopicMine: User-Guided Topic Mining by Category-Oriented Embedding
Feb 18, 2024
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SILKNOW – Multilingual Text Analysis for Silk Heritage
Feb 18, 2024
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CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, ...
Feb 18, 2024
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Project showcase program, Demos
Introduction to Kubeflow Pipelines
Feb 18, 2024
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Hands-On Tutorials
Practice of Efficient Data Collection via Crowdsourcing at Large-Scale
Mar 2, 2020
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Put Deep Learning to Work: A Practical Introduction to using Amazon Web Services
Feb 18, 2024
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Democratizing & Accelerating AI through Machine Learning
Feb 18, 2024
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Declarative Text Understanding with SystemT
Feb 18, 2024
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Learning Graph Neural Networks with Deep Graph Library
Feb 18, 2024
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Deep Learning at Scale on Databricks
Feb 18, 2024
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Concept to Code: Deep Neural Conversational System
Feb 18, 2024
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From Shallow to Deep Language Representations: Pre-training, Fine-tuning, and Be...
Feb 18, 2024
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Cloud Based Data Science at the Speed of Thought Using RAPIDS: the open GPU Dat...
Feb 18, 2024
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Introduction to Computer Vision and Realtime Deep Learning-Based Object Detecti...
Feb 18, 2024
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Deep Learning for NLP with TensorFlow
Feb 18, 2024
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Deep Learning for Time Series Forecasting
Feb 18, 2024
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Building production-ready recommendation systems at scale
Feb 18, 2024
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From Graph to Knowledge Graph: Mining Large-scale Heterogeneous Networks Using S...
Feb 18, 2024
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Applied Data Science Invited Talks
From Code to Data: AI at Scale for Developer Productivity
Mar 2, 2020
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Individualized Indicator for All: Stock-wise Technical Indicator Optimization wi...
Feb 18, 2024
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Facebook Disaster Maps: Aggregate Insights for Crisis Response & Recovery
Mar 2, 2020
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Exploiting High Dimensionality in Big Data
Mar 2, 2020
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Analytics Journey Map: An approach enable to ML at scale
Mar 2, 2020
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Product Ecosystem Optimization at LinkedIn
Mar 2, 2020
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Friends Don’t Let Friends Deploy Black-Box Models: The Importance of Intelligibi...
Mar 2, 2020
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78 views
Research Track Oral Presentations: RT10
Efficient Global String Kernel with Random Features: Beyond Counting Substructur...
Feb 18, 2024
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TUBE: Embedding Behavior Outcomes for Predicting Success
Feb 18, 2024
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Multi-Relational Classification via Bayesian Ranked Non-Linear Embeddings
Feb 18, 2024
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HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embe...
Feb 18, 2024
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Learning Network-to-Network Model for Content-rich Network Embedding
Feb 18, 2024
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Research Track Oral Presentations: RT11 Clustering and Visualization
A Multiscale Scan Statistic for Adaptive Submatrix Localization
Feb 18, 2024
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Scalable Hierarchical Clustering with Tree Grafting
Feb 18, 2024
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Robust Task Grouping with Representative Tasks for Clustered Multi-Task Learning
Feb 18, 2024
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AtSNE: Efficient and Robust Visualization on GPU through Hierarchical Optimizati...
Feb 18, 2024
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K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters
Feb 18, 2024
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Research Track Oral Presentations: RT12 Recommender Systems I
State-Sharing Sparse Hidden Markov Models for Personalized Sequences
Feb 18, 2024
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Environment Reconstruction with Hidden Confounders for Reinforcement Learning ba...
Feb 18, 2024
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Empowering A* Search Algorithms with Neural Networks for Personalized Route Reco...
Feb 18, 2024
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Effective and Efficient Reuse of Past Travel Behavior for Route Recommendation
Feb 18, 2024
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Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
Feb 18, 2024
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Applied Data Science Oral Presentations: ADS5 Scalability and Novel Applications
DeepRoof: A Data-driven Approach For Solar Potential Estimation Using Rooftop Im...
Mar 2, 2020
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Large-Scale Training Framework for Video Annotation
Mar 2, 2020
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Actions Speak Louder than Goals: Valuing Player Actions in Soccer
Mar 2, 2020
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A Data-Driven Approach for Multi-level Packing Problems in Manufacturing Industr...
Mar 2, 2020
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Enabling Onboard Detection of Events of Scientific Interest for the Europa Clipp...
Feb 18, 2024
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Research Track Oral Presentations: RT13 Learning
Learning from Incomplete and Inaccurate Supervision
Feb 18, 2024
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Learning Class-Conditional GANs with Active Sampling
Feb 18, 2024
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Identifiability of Cause and Effect using Regularized Regression
Feb 18, 2024
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Adaptive Unsupervised Feature Selection on Attributed Networks
Feb 18, 2024
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Task-Adversarial Co-Generative Nets
Feb 18, 2024
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Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning
Feb 18, 2024
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Research Track Oral Presentations: RT14 Anomaly Detection
EdMot: An Edge Enhancement Approach for Motif-aware Community Detection
Feb 18, 2024
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Deep Anomaly Detection with Deviation Networks
Feb 18, 2024
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Sequential Anomaly Detection using Inverse Reinforcement Learning
Feb 18, 2024
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Discovering Unexpected Local Nonlinear Interactions in Scientific Black-box Mode...
Feb 18, 2024
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AI Efforts in India
Feb 18, 2024
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Research Track Oral Presentations: RT1 Neural Networks
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks
Feb 18, 2024
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CoSTCo: A Neural Tensor Completion Model for Sparse Tensors
Feb 18, 2024
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Certifiable Robustness and Robust Training for Graph Convolutional Networks
Feb 18, 2024
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Effective and Efficient Sports Play Retrieval with Deep Representation Learning
Mar 2, 2020
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The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Co...
Feb 18, 2024
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Research Track Session RT15: Mining in Emerging Applications II
Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning
Feb 18, 2024
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Optimizing Impression Counts for Outdoor Advertising
Feb 18, 2024
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Hidden POI Ranking with Spatial Crowdsourcing
Feb 18, 2024
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Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal N...
Feb 18, 2024
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Hidden Markov Contour Tree: A Spatial Structured Model for Hydrological Applicat...
Feb 18, 2024
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Applied Data Science Track Session ADS6: Environment and Sustainability
Towards Sustainable Dairy Management - A Machine Learning Enhanced Method for Es...
Mar 2, 2020
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Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecas...
Mar 2, 2020
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Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data -- An Applic...
Mar 2, 2020
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AccuAir: Winning Solution to Air Quality Prediction for KDD Cup 2018
Mar 2, 2020
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Precipitation Nowcasting with Satellite Imagery
Mar 2, 2020
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APPLIED DATA SCIENCE INVITED TALKS
Towards ML Engineering with TensorFlow Extended (TFX)
Mar 2, 2020
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Welfare Maximization in Online Two-sided Marketplaces
Mar 2, 2020
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Role of Unified Graph Analysis Platforms for Smart Cities
Mar 2, 2020
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Applications of AI/ML in Established and New Industries
Mar 2, 2020
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Aligraph: A Comprehensive Graph Neural Network Platform
Mar 2, 2020
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Addressing Challenges in Data Science: Scale, Skill Sets and Complexity
Mar 2, 2020
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Research Track Session RT16: Machine Learning Themes I
Dynamical Origins of Distribution Functions
Feb 18, 2024
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A Minimax Game for Instance based Selective Transfer Learning
Feb 18, 2024
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Graph-based Semi-Supervised & Active Learning for Edge Flows
Feb 18, 2024
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AutoNRL: Hyperparameter Optimization for Massive Network Representation Learning
Feb 18, 2024
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Research Track Session RT17: Interpretability
Improving the Quality of Explanations with Local Embedding Perturbations
Feb 18, 2024
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Interpretable and Steerable Sequence Learning via Prototypes
Feb 18, 2024
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Learning Interpretable Metric between Graphs: Convex Formulation and Computation...
Feb 18, 2024
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Incorporating Interpretability into Latent Factor Models via Fast Influence Anal...
Feb 18, 2024
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Axiomatic Interpretability for Multiclass Additive Models
Feb 18, 2024
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Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory U...
Feb 18, 2024
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Research Track Session RT2: Analyzing Sequential and Temporal Data
Pairwise Comparisons with Flexible Time-Dynamics
Feb 18, 2024
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Modeling Extreme Events in Time Series Prediction
Feb 18, 2024
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Predicting Path Failure In Time-Evolving Graphs
Feb 18, 2024
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Deep Landscape Forecasting for Real-time Bidding Advertising
Feb 18, 2024
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Adversarial Substructured Representation Learning for Mobile User Profiling
Feb 18, 2024
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Research Track Session RT18: Recommender Systems II
Enhancing Collaborative Filtering with Generative Augmentation
Feb 18, 2024
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OBOE: Collaborative Filtering for AutoML Model Selection
Feb 18, 2024
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MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation
Feb 18, 2024
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Exact-K Recommendation via Maximal Clique Optimization
Feb 18, 2024
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DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recomm...
Feb 18, 2024
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Opt: Learn to Regularize Recommender Models in Finer Levels
Feb 18, 2024
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Applied Data Science Track Session ADS7: Entity Extraction, Linking, and Search
A Collaborative Learning Framework to Tag Refinement for Points of Interest
Mar 2, 2020
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Fairness-Aware Ranking in Search & Recommendation Systems with Application to Li...
Mar 2, 2020
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How to Invest my Time: Lessons from Human-in-the-Loop Entity Extraction
Mar 2, 2020
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OAG: Toward Linking Large-scale Heterogeneous Entity Graphs
Mar 2, 2020
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Combining Decision Trees and Neural Networks forLearning-to-Rank in Personal Sea...
Mar 2, 2020
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Applied Data Science Track Session ADS8: Sensor and Consumer Services
Sequence Multi-task Learning to Forecast Mental Wellbeing from Sparse Self-repor...
Mar 2, 2020
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Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography wi...
Mar 2, 2020
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Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adhe...
Mar 2, 2020
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Towards Identifying Impacted Users in Cellular Services
Mar 2, 2020
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Developing Measures of Cognitive Impairment in the Real World from Consumer-Grad...
Feb 18, 2024
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Research Track Session RT19: Machine Learning Themes II
Isolation Set-Kernel and Its Application to Multi-Instance Learning
Feb 18, 2024
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ET-Lasso: A New Efficient Tuning of Lasso-type Regularization for High-Dimension...
Feb 18, 2024
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Separated Trust Regions Policy Optimization Method
Mar 2, 2020
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Disambiguation Enabled Linear Discriminant Analysis for Partial Label Dimensiona...
Feb 18, 2024
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QuesNet: A Unified Representation for Heterogeneous Test Questions
Feb 18, 2024
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Research Track Session RT20: Online and Incremental Algorithms
Factorization Bandits for Online Influence Maximization
Feb 18, 2024
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Scaling Multi-Armed Bandit Algorithms
Feb 18, 2024
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Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units
Feb 18, 2024
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Dual Averaging Method for Online Graph-structured Sparsity
Feb 18, 2024
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Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability ...
Feb 18, 2024
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Applied Data Science Track Session ADS9: E-commerce and Advertising
Reserve Price Failure Rate Prediction with Header Bidding in Display Advertising
Mar 2, 2020
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Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequen...
Mar 2, 2020
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The Identification and Estimation of Direct and Indirect Effects in Online A/B T...
Mar 2, 2020
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SMOILE: A Shopper Marketing Optimization and Inverse Learning Engine
Mar 2, 2020
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Two-Sided Fairness for Repeated Matchings in Two-Sided Markets: A Case Study of ...
Mar 2, 2020
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KDD CUP DAY
“Research for Humanity” Reinforcement Learning Competition Track (Humanity RL Tr...
Feb 18, 2024
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How data science competitions changed in 20+ years
Feb 18, 2024
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Community of Competiting Teams & Members
Feb 18, 2024
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How will AutoML change the future of data science?
Feb 18, 2024
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How should companies use competition platforms (internally and/or externally)?
Feb 18, 2024
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Why reinforcement learning?
Feb 18, 2024
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Automated Machine Learning Competition Track (AutoML Track)
Feb 18, 2024
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Regular Machine Learning Competition Track (Regular ML Track)
Feb 18, 2024
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Research Track Session RT6: Network Science
Fates of Microscopic Social Ecosystems: Keep Alive or Dead?
Feb 18, 2024
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MCNE: An End-to-End Framework for Learning Multiple Conditional Network Represen...
Feb 18, 2024
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Learning Dynamic Context Graphs for Predicting Social Events
Feb 18, 2024
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Network Density of States
Feb 18, 2024
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Attribute-Driven Backbone Discovery
Feb 18, 2024
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Link Prediction with Signed Latent Factors in Signed Social Networks
Feb 18, 2024
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Research Track Session RT3: Algorithmic Techniques
Paper Matching with Local Fairness Constraints
Feb 18, 2024
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MinJoin: Efficient Edit Similarity Joins via Local Hash Minima
Feb 18, 2024
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Coresets for Minimum Enclosing Balls over Sliding Windows
Feb 18, 2024
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Adversarially Robust Submodular Maximization under Knapsack Constraints
Feb 18, 2024
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A Memory-Efficient Sketch Method for Estimating High Similarities in Streaming S...
Feb 18, 2024
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Revisiting kd-tree for Nearest Neighbor Search
Feb 18, 2024
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Applied Data Science Track Session ADS1: Auto-ML and Development Frameworks
Pythia: AI-assisted Code Completion System
Mar 2, 2020
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TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank
Mar 2, 2020
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34 views
Shrinkage Estimators in Online Experiments
Mar 2, 2020
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22 views
FDML: A Collaborative Machine Learning Framework for Distributed Features
Mar 2, 2020
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32 views
Auto-Keras: An Efficient Neural Architecture Search System
Mar 2, 2020
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21 views
Research Track Session RT4: Embeddings I
ProGAN: Network Embedding via Proximity Generative Adversarial Network
Feb 18, 2024
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Research Track Session RT5: Privacy and Policy Learning
Auditing Data Provenance in Text-Generation Models
Feb 18, 2024
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PrivPy: General and Scalable Privacy-Preserving Data Mining
Mar 2, 2020
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Off-policy Learning for Multiple Loggers
Feb 18, 2024
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Focused Context Balancing for Robust Offline Policy Evaluation
Feb 18, 2024
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Figuring out the User in a Few Steps: Bayesian Multifidelity Active Search with ...
Feb 18, 2024
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Applied Data Science Track Session ADS2: Language Models and Text Mining
Automatic Dialogue Summary Generation for Customer Service
Mar 2, 2020
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Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decompo...
Mar 2, 2020
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Naranjo Question Answering using End-to-End Multi-task Learning Model
Mar 2, 2020
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Unsupervised Clinical Language Translation
Mar 2, 2020
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14 views
Gmail Smart Compose: Real-Time Assisted Writing
Mar 2, 2020
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44 views
Applied Data Science Track Session ADS3: Urbanism and Mobility
A Deep Value-network Based Approach for Multi-Driver Order Dispatching
Mar 2, 2020
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Nostalgin: Extracting 3D City Models from Historical Image Data
Mar 2, 2020
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21 views
DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events
Mar 2, 2020
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57 views
Hard to Park? Estimating Parking Difficulty at Scale
Feb 18, 2024
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Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendatio...
Feb 18, 2024
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Research Track Session RT7: Graph Neural Networks
GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks ...
Feb 18, 2024
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Robust Graph Convolutional Networks Against Adversarial Attacks
Feb 18, 2024
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Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutio...
Feb 18, 2024
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Research Track Session RT8: Knowledge Extraction
Relation Extraction via Domain-aware Transfer Learning
Feb 18, 2024
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Adaptive Graph Guided Disambiguation for Partial Label Learning
Feb 18, 2024
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Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for R...
Feb 18, 2024
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Mining Algorithm Roadmap in Scientific Publications
Feb 18, 2024
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Universal Representation Learning of Knowledge Bases by Jointly Embedding Instan...
Feb 18, 2024
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Exploiting Cognitive Structure for Adaptive Learning
Feb 18, 2024
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Research Track Session RT9: Mining in Emerging Applications I
Retaining Privileged Information for Multi-Task Learning
Feb 18, 2024
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Hierarchical Multi-Task Word Embedding Learning for Synonym Prediction
Feb 18, 2024
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A Permutation Approach to Assess Confounding in Machine Learning Applications fo...
Feb 18, 2024
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GroupINN: Grouping-based Interpretable Neural Network for Classification of Limi...
Feb 18, 2024
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PerDREP: Personalized Drug Effectiveness Prediction from Longitudinal Observation...
Feb 18, 2024
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SurfCon: Synonym Discovery on Privacy-Aware Clinical Data
Feb 18, 2024
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Applied Data Science Track Session ADS4: Real-Time and Online
Time-Series Anomaly Detection Service at Microsoft
Mar 2, 2020
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38 views
Real-time On-Device Troubleshooting Recommendation for Smartphones
Mar 2, 2020
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17 views
Anomaly Detection for an E-commerce Pricing System
Mar 2, 2020
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41 views
Real-time Attention Based Look-alike Model for Recommender System
Mar 2, 2020
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12 views
Online Amnestic DTW to allow Real-Time Golden Batch Monitoring
Mar 2, 2020
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16 views
Social Impact Workshop
Keynote: Challenges of Innovative Research Projects
Feb 18, 2024
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Invited talk: Should You Open-Source Your Model? Ethical questions for open-sour...
Feb 18, 2024
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Machine Learning for Humanitarian Data: Tag Prediction using the HXL Standard.
Feb 18, 2024
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1 views
MLsploit: A Framework for Interactive Experimentation with Adversarial Machine L...
Feb 18, 2024
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1 views
Midas - An interactive data catalog for data science teams
Feb 18, 2024
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8 views
Scikid-Learn: An AI tool for customized education.
Feb 18, 2024
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6 views
AI-Guided Virtual Lab for Autonomous Vehicle Test: Self-Play Reinforcement Learn...
Feb 18, 2024
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1 views
Mitigating Demographic Biases in Social Media-Based Recommender Systems.
Feb 18, 2024
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14 views
Communicating Machine Learning Results About the Flint Water Crisis to City Resi...
Feb 18, 2024
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9 views
Mining large-scale news articles for predicting forced migration.
Feb 18, 2024
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Their Futures Matter Family Investment Model.
Feb 18, 2024
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Invited talk: From intentions to impact: Articulating and embracing social compl...
Feb 18, 2024
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Invited talk: Women in Data Science
Feb 18, 2024
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PROJECT SHOWCASE PROGRAM
AI, Big Data, and the UN Sustainable Development Agenda
Feb 18, 2024
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5 views
KDD Women's Lunch
KDD Women's Lunch
Feb 18, 2024
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Dissertation award
Dissertation award
Feb 18, 2024
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10 views
Data Science in India
Data, Decisions, and Inclusive Social Impact
Feb 18, 2024
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8 views
What does Quantified Self tell us about Qualified Self?
Feb 18, 2024
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20 views
The Science in Data Science : Stories from the Indian Internet Industry
Feb 18, 2024
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7 views
AI for Fashion Supply/Value Chain
Feb 18, 2024
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8 views
Ranking from Pairwise Comparisons - Tale of the Preference Matrix
Feb 18, 2024
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6 views
Data to Decisions
Feb 18, 2024
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2 views
KDD 2019 Closing Session
KDD 2019 Closing Session
Feb 18, 2024
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Data Science in China
Feb 18, 2024
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20 views