Improving Training Stability for Multitask Ranking Models in Recommender
Systems

Improving Training Stability for Multitask Ranking Models in Recommender Systems

17 February 2023

M. Sathiamoorthy

Justin Gilmer

Papers citing "Improving Training Stability for Multitask Ranking Models in Recommender Systems"

8 / 8 papers shown

Title
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems Jun Yuan Guohao Cai Zhenhua Dong 18 0 0 08 Oct 2024
Mixed Supervised Graph Contrastive Learning for Recommendation Weizhi Zhang Liangwei Yang Zihe Song Henry Peng Zou Ke Xu Yuanjie Zhu Philip S. Yu 24 2 0 24 Apr 2024
Wukong: Towards a Scaling Law for Large-Scale Recommendation Buyun Zhang Liang Luo Yuxin Chen Jade Nie Xi Liu ... Guna Lakshminarayanan Ellie Wen Jongsoo Park Maxim Naumov Wenlin Chen ALM 19 18 0 04 Mar 2024
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations Filippo Betello F. Siciliano Pushkar Mishra Fabrizio Silvestri AAML 21 6 0 24 Jul 2023
Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations Anima Singh Trung Vu Nikhil Mehta Raghunandan H. Keshavan M. Sathiamoorthy ... Lukasz Heldt Li Wei Devansh Tandon Ed H. Chi Xinyang Yi 11 19 0 13 Jun 2023
Robust Reinforcement Learning Objectives for Sequential Recommender Systems Melissa Mozifian Tristan Sylvain David E. Evans Li Meng OffRL 13 0 0 30 May 2023
Primer: Searching for Efficient Transformers for Language Modeling David R. So Wojciech Mañke Hanxiao Liu Zihang Dai Noam M. Shazeer Quoc V. Le VLM 83 151 0 17 Sep 2021
High-Performance Large-Scale Image Recognition Without Normalization Andrew Brock Soham De Samuel L. Smith Karen Simonyan VLM 220 512 0 11 Feb 2021