Media Summary: Zilong Wang, University of California, San Diego - Presentation video (short version) for Bo Chen, Tsinghua University Name disambiguation?a fundamental problem in online academic systems?is now facing greater ... Yunjia Xi, Shanghai Jiao Tong University.

Kdd 2023 Vrdu A Benchmark - Detailed Analysis & Overview

Zilong Wang, University of California, San Diego - Presentation video (short version) for Bo Chen, Tsinghua University Name disambiguation?a fundamental problem in online academic systems?is now facing greater ... Yunjia Xi, Shanghai Jiao Tong University. Chengliang Chai, Beijing Institute of Technology. Jiacheng Li, University of California, San Diego. Yiqiao Jin - Code & Data: Arxiv: Lab: ...

Federico Tomasi, Spotify We present our paper on automatic music playlist generation using RL. This methodology overcomes ... Sean Gahagan, Meta This video shares how the Variance Reduction System (VRS) uses new machine learning technology in ads ... Kunal Dahiya, IIT Delhi Large language models or encoders are widely used in real-world search and recommendation ... Jaejun Lee, KAIST In a hyper-relational knowledge graph, a triplet can have qualifiers, providing auxiliary information for the triplet ... Recorded at the Qt Developer Days in Berlin in 2014. Tsuyoshi "Ide-san" Ide, IBM Research, T. J. Watson Research Center.

Yue Xu, Alibaba Group Multi-factor Sequential Re-ranking with Perception-Aware Diversification.

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KDD 2023 - VRDU: A Benchmark for Visually-rich Document Understanding
KDD 2023 - Web-Scale Academic Name Disambiguation: the WholsWho BenchMark, Leaderboard, and Toolkit
KDD 2023 - How to robustly detect failures with 3 types of telemetry data?
KDD 2023 - On-device Integrated Re-ranking with Heterogeneous Behavior Modeling
KDD 2023 - Efficient Coreset Selection with Cluster-based Methods
KDD 2023 - Text Is All You Need: Learning Language Representations for Sequential Recommendation
KDD 2023 Predicting Information Pathways Across Online Communities
KDD 2023 - Automatic Music Playlist Generation via Simulation-based Reinforcement Learning
KDD 2023 - Variance Reduction System (VRS)
KDD 2023 - Deep Encoders with Auxiliary Parameters for Extreme Classification
KDD 2023 - Precursor-of-Anomaly Detection for Irregular Time Series
KDD 2023 -Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers
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