Media Summary: This video is the presentation of the full research paper A Method for Pool of Experts: Realtime Querying Specialized Knowledge in Massive Neural Networks Presented by Hakbin Kim (MS graduated ... PACE: Learning Effective Task Decomposition for Human-in-the-loop Healthcare Delivery.

Sigmod 2021 Instance Optimized Data - Detailed Analysis & Overview

This video is the presentation of the full research paper A Method for Pool of Experts: Realtime Querying Specialized Knowledge in Massive Neural Networks Presented by Hakbin Kim (MS graduated ... PACE: Learning Effective Task Decomposition for Human-in-the-loop Healthcare Delivery. Machine Learning (ML) is increasingly used to automate impactful decisions, and the risks arising from this wide-spread use are ... Abstract: Recently, there has been a lot of excitement around ML-enhanced (or learned) algorithms and

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[SIGMOD 2021] Instance-Optimized Data Layouts for Cloud Analytics Workloads
[SIGMOD 2021] Instance-Optimized Data Layouts for Cloud Analytics Workloads (Short Talk)
SIGMOD PODS 2021 Whova User Guide
[SIGMOD 2020] A Method for Optimizing Opaque Filter Queries
[SIGMOD 2021]Query by Sketch  Scaling Shortest Path Graph Queries on Very Large Networks
SIGMOD 2021 Pool of Experts: Realtime Querying Specialized Knowledge in Massive Neural Networks
[SIGMOD 2021]P2H  Efficient Distance Querying on Road Networks by Projected Vertex Separa
SIGMOD’20: Auto-Suggest: Learning-to-Recommend Data Preparation Steps
SIGMOD 2021 - PACE presentation (5min)
SIGMOD 2020 Active Learning for ML Enhanced Database Systems
SIGMOD 2021 - PACE presentation (20min)
mlinspect: a Data Distribution Debuggerfor Machine Learning Pipelines (SIGMOD Demo 2021)
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[SIGMOD 2021] Instance-Optimized Data Layouts for Cloud Analytics Workloads

[SIGMOD 2021] Instance-Optimized Data Layouts for Cloud Analytics Workloads

Paper: https://www.microsoft.com/en-us/research/uploads/prod/

[SIGMOD 2021] Instance-Optimized Data Layouts for Cloud Analytics Workloads (Short Talk)

[SIGMOD 2021] Instance-Optimized Data Layouts for Cloud Analytics Workloads (Short Talk)

Long talk (20 min): https://youtu.be/XrugPIU1J3E Paper: ...

SIGMOD PODS 2021 Whova User Guide

SIGMOD PODS 2021 Whova User Guide

Hello welcome to acm

[SIGMOD 2020] A Method for Optimizing Opaque Filter Queries

[SIGMOD 2020] A Method for Optimizing Opaque Filter Queries

This video is the presentation of the full research paper A Method for

[SIGMOD 2021]Query by Sketch  Scaling Shortest Path Graph Queries on Very Large Networks

[SIGMOD 2021]Query by Sketch Scaling Shortest Path Graph Queries on Very Large Networks

SIGMOD 2021

SIGMOD 2021 Pool of Experts: Realtime Querying Specialized Knowledge in Massive Neural Networks

SIGMOD 2021 Pool of Experts: Realtime Querying Specialized Knowledge in Massive Neural Networks

Pool of Experts: Realtime Querying Specialized Knowledge in Massive Neural Networks Presented by Hakbin Kim (MS graduated ...

[SIGMOD 2021]P2H  Efficient Distance Querying on Road Networks by Projected Vertex Separa

[SIGMOD 2021]P2H Efficient Distance Querying on Road Networks by Projected Vertex Separa

SIGMOD 2021

SIGMOD’20: Auto-Suggest: Learning-to-Recommend Data Preparation Steps

SIGMOD’20: Auto-Suggest: Learning-to-Recommend Data Preparation Steps

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SIGMOD 2021 - PACE presentation (5min)

SIGMOD 2021 - PACE presentation (5min)

PACE: Learning Effective Task Decomposition for Human-in-the-loop Healthcare Delivery.

SIGMOD 2020 Active Learning for ML Enhanced Database Systems

SIGMOD 2020 Active Learning for ML Enhanced Database Systems

Talk for Active Learning for ML Enhanced

SIGMOD 2021 - PACE presentation (20min)

SIGMOD 2021 - PACE presentation (20min)

PACE: Learning Effective Task Decomposition for Human-in-the-loop Healthcare Delivery.

mlinspect: a Data Distribution Debuggerfor Machine Learning Pipelines (SIGMOD Demo 2021)

mlinspect: a Data Distribution Debuggerfor Machine Learning Pipelines (SIGMOD Demo 2021)

Machine Learning (ML) is increasingly used to automate impactful decisions, and the risks arising from this wide-spread use are ...

NWDS Talk - Towards instance-optimized data systems

NWDS Talk - Towards instance-optimized data systems

Abstract: Recently, there has been a lot of excitement around ML-enhanced (or learned) algorithms and