Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales

Terms and Conditions

Twitter GitHub LinkedIn Bluesky Youtube

© 2026 ResearchTrend.AI, All rights reserved.

Home
Papers
2308.08500
Cited By

InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep
Recommendation Models

InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models

ACM Conference on Recommender Systems (RecSys), 2023

13 August 2023

Prasanna Padmanabhan

ArXiv (abs)PDF HTML

Papers citing "InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models"

3 / 3 papers shown

PreSto: An In-Storage Data Preprocessing System for Training
Recommendation Models

PreSto: An In-Storage Data Preprocessing System for Training Recommendation Models

170

7

0

11 Jun 2024

Towards a Systems Theory of Algorithms

Towards a Systems Theory of AlgorithmsIEEE Control Systems Letters (L-CSS), 2024

Florian Dorfler

Giuseppe Belgioioso

Michael Muehlebach

279

24

0

25 Jan 2024

Saturn: An Optimized Data System for Large Model Deep Learning Workloads

Saturn: An Optimized Data System for Large Model Deep Learning WorkloadsProceedings of the VLDB Endowment (PVLDB), 2023

333

8

0

03 Sep 2023