Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2204.04903
Cited By
PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems
11 April 2022
Yuanxing Zhang
Langshi Chen
Siran Yang
Man Yuan
Hui-juan Yi
Jie M. Zhang
Jiamang Wang
Jianbo Dong
Yunlong Xu
Yue Song
Yong Li
Dingyang Zhang
Wei Lin
Lin Qu
Bo Zheng
Re-assign community
ArXiv
PDF
HTML
Papers citing
"PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems"
6 / 6 papers shown
Title
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation
Qi Liu
Zhilong Zhou
Gangwei Jiang
T. Ge
Defu Lian
13
12
0
11 Aug 2023
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao
Jingyue Gao
Shuguang Han
Han Zhu
Siran Yang
Yuning Jiang
Jian Xu
Bo Zheng
33
11
0
06 Jun 2023
AdaptDHM: Adaptive Distribution Hierarchical Model for Multi-Domain CTR Prediction
Jinyun Li
Huiwen Zheng
Yuan-Cheng Liu
Minfang Lu
Lixia Wu
Haoyuan Hu
36
7
0
22 Nov 2022
Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation
Rihan Chen
Bin Liu
Han Zhu
Yao Wang
Qi Li
...
Q. hua
Junliang Jiang
Yunlong Xu
Hongbo Deng
Bo Zheng
23
20
0
14 Feb 2022
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems
Weijie Zhao
Deping Xie
Ronglai Jia
Yulei Qian
Rui Ding
Mingming Sun
P. Li
MoE
57
150
0
12 Mar 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
245
1,817
0
17 Sep 2019
1