Multi-Task Learning with Neural Networks for Voice Query Understanding on an Entertainment Platform
KDD2018 video
Multi-Task Learning with Neural Networks for Voice Query Understanding on an Entertainment Platform
1:56
How LinkedIn Economic Graph Bonds Information and Product: Applications in LinkedIn Salary
KDD2018 video
How LinkedIn Economic Graph Bonds Information and Product: Applications in LinkedIn Salary
2:54
Leveraging Meta-path based Context for Top-N Recommendation with A Neural Co-Attention Model
KDD2018 video
Leveraging Meta-path based Context for Top-N Recommendation with A Neural Co-Attention Model
3:08
BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data
KDD2018 video
BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data
3:18
RapidScorer: Fast Tree Ensemble Evaluation by Maximizing Compactness in Data Level Parallelization
KDD2018 video
RapidScorer: Fast Tree Ensemble Evaluation by Maximizing Compactness in Data Level Parallelization
2:38
A Treatment Engine by Predicting Next-Period Prescriptions
KDD2018 video
A Treatment Engine by Predicting Next-Period Prescriptions
2:21
Towards station-level demand prediction for effective rebalancing in bike-sharing systems
KDD2018 video
Towards station-level demand prediction for effective rebalancing in bike-sharing systems
2:59
Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions
KDD2018 video
Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions
1:26
xStream: Outlier Detection in Feature-Evolving Data Streams
KDD2018 video
xStream: Outlier Detection in Feature-Evolving Data Streams
1:06
A Unified Approach to Quantifying Algorithmic Unfairness
KDD2018 video
A Unified Approach to Quantifying Algorithmic Unfairness
3:43
Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases
KDD2018 video
Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases
2:42
Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property
KDD2018 video
Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property
3:44
Butterfly Counting in Bipartite Networks
KDD2018 video
Butterfly Counting in Bipartite Networks
3:09
Accelerating Prototype-Based Drug Discovery using Conditional Diversity Networks
KDD2018 video
Accelerating Prototype-Based Drug Discovery using Conditional Diversity Networks
1:53
Opinion Dynamics with Varying Susceptibility to Persuasion
KDD2018 video
Opinion Dynamics with Varying Susceptibility to Persuasion
2:55
Enhancing Predictive Modeling of Nested Spatial Data through Group-Level Feature Disaggregation
KDD2018 video
Enhancing Predictive Modeling of Nested Spatial Data through Group-Level Feature Disaggregation
2:55
PittGrub: A Frustration-Free System to Reduce Food Waste by Notifying Hungry College Students
KDD2018 video
PittGrub: A Frustration-Free System to Reduce Food Waste by Notifying Hungry College Students
2:59
Prediction-time Efficient Classification Using Computational Dependencies in Feature Generation
KDD2018 video
Prediction-time Efficient Classification Using Computational Dependencies in Feature Generation
3:09
NetLSD: Hearing the Shape of a Graph
KDD2018 video
NetLSD: Hearing the Shape of a Graph
3:43
Audience Size Forecasting: Fast and Smart Budget Planning for Media Buyers
KDD2018 video
Audience Size Forecasting: Fast and Smart Budget Planning for Media Buyers
3:22
Active Opinion Maximization in Social Networks
KDD2018 video
Active Opinion Maximization in Social Networks
2:37
TINET: Learning Invariant Networks via Knowledge Transfer
KDD2018 video
TINET: Learning Invariant Networks via Knowledge Transfer
3:25
Adaptive Paywall Mechanism for Digital News Media
KDD2018 video
Adaptive Paywall Mechanism for Digital News Media
3:01
Detection of Paroxysmal Atrial Fibrillation using Attention based Bidirectional Recurrent Neural Net
KDD2018 video
Detection of Paroxysmal Atrial Fibrillation using Attention based Bidirectional Recurrent Neural Net
1:39
Deep Censored Learning of the Winning Price in the Real Time Bidding
KDD2018 video
Deep Censored Learning of the Winning Price in the Real Time Bidding
2:16
Dynamic Recommendations for Sequential Hiring Decisions in Online Labor Markets
KDD2018 video
Dynamic Recommendations for Sequential Hiring Decisions in Online Labor Markets
2:30
Multi-Pointer Co-Attention Networks for Recommendatio
KDD2018 video
Multi-Pointer Co-Attention Networks for Recommendatio
2:46
Classifying and Counting with Recurrent Contexts
KDD2018 video
Classifying and Counting with Recurrent Contexts
2:08
PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction
KDD2018 video
PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction
2:54
Using RNNs to Analyse Visual Scanning Behaviour to Detect Apathy in Alzheimer Patients
KDD2018 video
Using RNNs to Analyse Visual Scanning Behaviour to Detect Apathy in Alzheimer Patients
3:41
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba
KDD2018 video
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba
3:07
TATC: Predicting Alzheimer’s Disease with Actigraphy Data
KDD2018 video
TATC: Predicting Alzheimer’s Disease with Actigraphy Data
1:58
Arbitrary-Order Proximity Preserved Network Embedding
KDD2018 video
Arbitrary-Order Proximity Preserved Network Embedding
2:51
Multimodal Sentiment Analysis To Explore the Structure of Emotions
KDD2018 video
Multimodal Sentiment Analysis To Explore the Structure of Emotions
1:46
TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data
KDD2018 video
TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data
4:02
Safe Triplet Screening for Distance Metric Learning
KDD2018 video
Safe Triplet Screening for Distance Metric Learning
2:21
Automatic Discovery of Tactics in Spatio-Temporal Soccer Match Data
KDD2018 video
Automatic Discovery of Tactics in Spatio-Temporal Soccer Match Data
3:07
Large-Scale Order Dispatch in On-Demand Ride-Sharing Platforms: A Learning and Planning Approach
KDD2018 video
Large-Scale Order Dispatch in On-Demand Ride-Sharing Platforms: A Learning and Planning Approach
1:29
Learning Tree based Deep Model for Recommender Systems
KDD2018 video
Learning Tree based Deep Model for Recommender Systems
2:26
Q&R: A Two-Stage Approach Toward Interactive Recommendation
KDD2018 video
Q&R: A Two-Stage Approach Toward Interactive Recommendation
2:32
Active Deep Learning to Tune Down the Noise in Labels
KDD2018 video
Active Deep Learning to Tune Down the Noise in Labels
3:03
Optimization of a SSP’s Header Bidding Strategy using Thompson Sampling
KDD2018 video
Optimization of a SSP’s Header Bidding Strategy using Thompson Sampling
3:02
Predicting Estimated Time of Arrival for Commercial Flights
KDD2018 video
Predicting Estimated Time of Arrival for Commercial Flights
2:41
Accelerated Equivalence Structure Extraction via Pairwise Incremental Search
KDD2018 video
Accelerated Equivalence Structure Extraction via Pairwise Incremental Search
3:00
Count-Min: Optimal Estimation and Tight Error Bounds using Empirical Error Distributions
KDD2018 video
Count-Min: Optimal Estimation and Tight Error Bounds using Empirical Error Distributions
1:12
Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time
KDD2018 video
Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time
3:55
Customized Regression Model for Airbnb Dynamic Pricing
KDD2018 video
Customized Regression Model for Airbnb Dynamic Pricing
3:50
Multi-Cast Attention Networks
KDD2018 video
Multi-Cast Attention Networks
2:27
Corpus Conversion Service: A machine learning platform to ingest documents at scale
KDD2018 video
Corpus Conversion Service: A machine learning platform to ingest documents at scale
3:20
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts
KDD2018 video
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts
3:30
Next-item Recommendation via Discriminatively Exploiting User Behaviour
KDD2018 video
Next-item Recommendation via Discriminatively Exploiting User Behaviour
3:16
Finding Similar Exercises with a Unified Semantic Representation
KDD2018 video
Finding Similar Exercises with a Unified Semantic Representation
3:00
Dynamic Pricing under Competition on Online Marketplaces: A Data-Driven Approach
KDD2018 video
Dynamic Pricing under Competition on Online Marketplaces: A Data-Driven Approach
2:52
Dynamic Bike Reposition: A Spatio-Temporal Reinforcement Learning Approach
KDD2018 video
Dynamic Bike Reposition: A Spatio-Temporal Reinforcement Learning Approach
2:45
Explanation Mining: Post Hoc Interpretability of Latent Factor Models for Recommendation Systems
KDD2018 video
Explanation Mining: Post Hoc Interpretability of Latent Factor Models for Recommendation Systems
3:09
Interpretable New User Clustering and Churn Prediction on a Mobile Social Application
KDD2018 video
Interpretable New User Clustering and Churn Prediction on a Mobile Social Application
2:14
On the Generative Discovery of Structured Medical Knowledge
KDD2018 video
On the Generative Discovery of Structured Medical Knowledge
2:49
Distributed Collaborative Hashing and Its Applications in Ant Financial
KDD2018 video
Distributed Collaborative Hashing and Its Applications in Ant Financial
2:52
Large Scale Learnable Graph Convolutional Networks
KDD2018 video
Large Scale Learnable Graph Convolutional Networks
2:03
You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis
KDD2018 video
You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis
2:20
Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy Budget
KDD2018 video
Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy Budget
2:56
Deep Adversarial Learning for Multi-Modality Missing Data Completion
KDD2018 video
Deep Adversarial Learning for Multi-Modality Missing Data Completion
2:15
Context-aware Academic Collaborator Recommendation
KDD2018 video
Context-aware Academic Collaborator Recommendation
3:38
Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning
KDD2018 video
Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning
1:58
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding
KDD2018 video
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding
2:26
A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data
KDD2018 video
A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data
2:52
A Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport
KDD2018 video
A Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport
2:58
BagMinHash - Minwise Hashing Algorithm for Weighted Sets
KDD2018 video
BagMinHash - Minwise Hashing Algorithm for Weighted Sets
3:13
Detecting Illegal Vehicle Parking Events using Sharing Bikes’ Trajectories
KDD2018 video
Detecting Illegal Vehicle Parking Events using Sharing Bikes’ Trajectories
1:12
Interactive Paths Embedding for Semantic Proximity Search on Heterogeneous Graphs
KDD2018 video
Interactive Paths Embedding for Semantic Proximity Search on Heterogeneous Graphs
3:32
FireGuru: A real-time pipeline for spatio-temporal fire risk prediction
KDD2018 video
FireGuru: A real-time pipeline for spatio-temporal fire risk prediction
3:06
Extremely Fast Decision Tree
KDD2018 video
Extremely Fast Decision Tree
2:07
Hyperparameter Importance Across Datasets
KDD2018 video
Hyperparameter Importance Across Datasets
2:33
Network Connectivity Optimization: Fundamental Limits and Effective Algorithms
KDD2018 video
Network Connectivity Optimization: Fundamental Limits and Effective Algorithms
2:45
Deep Interest Network for Click-Through Rate Prediction
KDD2018 video
Deep Interest Network for Click-Through Rate Prediction
3:54
Risk Prediction on Electronic Healthcare Records with Prior Medical Knowledge
KDD2018 video
Risk Prediction on Electronic Healthcare Records with Prior Medical Knowledge
2:48
FASTEN: Fast Sylvester Equation Solver for Graph Mining
KDD2018 video
FASTEN: Fast Sylvester Equation Solver for Graph Mining
3:11
Automated Audience Segmentation Using Reputation Signals
KDD2018 video
Automated Audience Segmentation Using Reputation Signals
2:58
STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation
KDD2018 video
STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation
2:57
Hierarchical Taxonomy Aware Network Embedding
KDD2018 video
Hierarchical Taxonomy Aware Network Embedding
2:23
DILOF: Effective and Memory Efficient Local Outlier Detection in Data Streams
KDD2018 video
DILOF: Effective and Memory Efficient Local Outlier Detection in Data Streams
2:55
False Discovery Rate Controlled Heterogeneous Treatment Effect Detection
KDD2018 video
False Discovery Rate Controlled Heterogeneous Treatment Effect Detection
2:55
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
KDD2018 video
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
2:57
Efficient Similar Region Search with Deep Metric Learning
KDD2018 video
Efficient Similar Region Search with Deep Metric Learning
2:12
Name Disambiguation in AMiner: Clustering, Maintenance, and Human in the Loop
KDD2018 video
Name Disambiguation in AMiner: Clustering, Maintenance, and Human in the Loop
2:40
Adversarial Attacks on Neural Networks for Graph Data
KDD2018 video
Adversarial Attacks on Neural Networks for Graph Data
3:07
Releasing eHealth Analytics into the Wild: Lessons Learnt from the SPHERE Project
KDD2018 video
Releasing eHealth Analytics into the Wild: Lessons Learnt from the SPHERE Project
2:24
Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories
KDD2018 video
Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories
2:53
Multi-Round Influence Maximization
KDD2018 video
Multi-Round Influence Maximization
2:48
A Dual Markov Chain Topic Model for Dynamic Environments
KDD2018 video
A Dual Markov Chain Topic Model for Dynamic Environments
2:01
A real-time framework for detecting efficiency regressions in a globally distributed codebase
KDD2018 video
A real-time framework for detecting efficiency regressions in a globally distributed codebase
2:23
Geographical Hidden Markov Tree for Flood Extent Mapping (With Proof Appendix)
KDD2018 video
Geographical Hidden Markov Tree for Flood Extent Mapping (With Proof Appendix)
4:02
Career Transitions and Trajectories: A Case Study in Computing
KDD2018 video
Career Transitions and Trajectories: A Case Study in Computing
3:01
Learning to Estimate the Travel Time
KDD2018 video
Learning to Estimate the Travel Time
2:33
Transfer Learning via Feature Isomorphism Discovery
KDD2018 video
Transfer Learning via Feature Isomorphism Discovery
2:15
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering
KDD2018 video
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering
3:00
Learning and Transferring IDs Representation in E commerce
KDD2018 video
Learning and Transferring IDs Representation in E commerce
2:14
Feedback-Guided Anomaly Discovery via Online Optimization
KDD2018 video
Feedback-Guided Anomaly Discovery via Online Optimization
3:24
SpotLight: Detecting Anomalies in Streaming Graphs
KDD2018 video
SpotLight: Detecting Anomalies in Streaming Graphs
3:01
PCA by Determinant Optimization has no Spurious Local Optima
KDD2018 video
PCA by Determinant Optimization has no Spurious Local Optima
2:56