◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Jeremiah Harmsen

7 papers hereh-index 87.1k citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author7

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG2
  • cs.DC1

identity via Semantic Scholar / OpenAlex

activity
20162025
most citedWide & Deep Learning for Recommender Systems

263 citations · 532 across the 7 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2021★ 3 cited

RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning

Sabela Ramos, Sertan Girgin, Léonard Hussenot +9

We introduce RLDS (Reinforcement Learning Datasets), an ecosystem for recording, replaying, manipulating, annotating and sharing data in the context of Sequential Decision Making (…

cs.LG2016★ 263 cited

Wide & Deep Learning for Recommender Systems

Heng-Tze Cheng, Levent Koc, Jeremiah Harmsen +13

Generalized linear models with nonlinear feature transformations are widely used for large-scale regression and classification problems with sparse inputs. Memorization of feature…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.