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2305.12102
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Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems
20 May 2023
Benjamin Coleman
Wang-Cheng Kang
Matthew Fahrbach
Ruoxi Wang
Lichan Hong
Ed H. Chi
D. Cheng
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Papers citing
"Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems"
6 / 6 papers shown
Title
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems
Hung Vinh Tran
Tong Chen
Quoc Viet Hung Nguyen
Zi-Rui Huang
Lizhen Cui
Hongzhi Yin
39
1
0
25 Jun 2024
Learning Rate Schedules in the Presence of Distribution Shift
Matthew Fahrbach
Adel Javanmard
Vahab Mirrokni
Pratik Worah
11
6
0
27 Mar 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
239
2,232
0
22 Mar 2023
Clustering the Sketch: A Novel Approach to Embedding Table Compression
Henry Ling-Hei Tsang
Thomas Dybdahl Ahle
22
1
0
12 Oct 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,402
0
28 Jan 2022
Learning to Embed Categorical Features without Embedding Tables for Recommendation
Wang-Cheng Kang
D. Cheng
Tiansheng Yao
Xinyang Yi
Ting-Li Chen
Lichan Hong
Ed H. Chi
LMTD
CML
DML
41
68
0
21 Oct 2020
1