WSDM-23 Industry day: Learning to Infer Product Attribute Values From Descriptive Texts and Images

(25:9)

WSDM-23 Tutorials: Knowledge-Augmented Methods for Natural Language Processing

(2:43:2)

WSDM-23 Workshops: Cross-Correlated Graph Neural Networks - Theory and Applications

(37:6)

WSDM-23 Workshops: DeepFake Detection: Technology, Methods, and Challenges

(44:49)

WSDM-23 Keynote: Learning to Understand Audio and Multimodal Content

(29:48)

WSDM-23 Tutorials: Next-generation Challenges of Responsible Data Integration

(2:32:34)

WSDM-23 Workshops: Deep Graph Learning: Data, Methods, and Applications

(35:23)

SM23 - Interview with Wasifuddin Dagar

(38:58)

Expert ISWMS™ (Version 3) Demo

(3:55)

DynamoDB Deep Dive w/ a Ex-Meta Staff Engineer

(23:5)

Unbiased Learning to Rank: On Recent Advances in the Foundations and Applications - SIGIR23 / WSDM24

(3:3:30)

Recent Advances in Domain Adaptation and Domain Generalization

(3:21:37)

[KDD 2023 Tutorial] Data-centric AI: Techniques and Future Perspectives

(3:19:25)

Stanford CS330 Deep Multi-Task \u0026 Meta Learning - Domain Generalization l 2022 I Lecture 14

(1:12:16)

[wsdm] - (various tracks)

(20:1econd)

Stanford CS330 Deep Multi-Task \u0026 Meta Learning - Domain Adaptation l 2022 I Lecture 13

(1:15:41)

Isolation Forests: Identify Outliers in Data

(4:41)

WSDM-23 Workshops: Efficient Graph Learning for Anomaly Detection Systems

(11:59)

WSDM-23 Tutorials: Trustworthy Algorithmic Ranking Systems

(3:4:53)

WSDM-23 Paper: S2TUL: A Semi-Supervised Framework for Trajectory-User Linking

(11:15)

WSDM-23 Tutorials: Natural and Artificial Dynamics in GNNs: A Tutorial

(2:58:9)

WSDM-23 Tutorials: AutoML for Deep Recommender Systems: Fundamentals and Advances

(2:46:51)

WSDM-23 Workshops: Trustworthy Natural Language Processing with Knowledge Guidance

(42:53)

WSDM-23 Tutorials: Hate Speech: Detection, Mitigation and Beyond

(2:22:55)

WSDM-23 Workshops: Counterfactual Explanations for Visual Recommender Systems

(12:15)

WSDM-23 Industry day: Simulating Humans at Scale to Evaluate Voice Interfaces for TVs

(26:1econd)

WSDM-23 Paper:Graph Explicit Neural Networks

(11:46)

WSDM-23 Tutorials: Data Democratisation with Deep Learning

(2:13:2)

WSDM-23 Paper: Learning to Distill Graph Neural Networks

(13:35)

WSDM-23 Paper:Minimum Entropy Principle Guided Graph Neural Networks

(10:3)