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Association for Computing Machinery

United States

434 papers here4.1k citations across 434
fields
  • cs.CV60
  • cs.IR53
  • cs.LG51
  • cs.SE29
  • cs.CL27
  • cs.HC24
  • cs.DC22
  • cs.DB18
ROR 03wsadn68OpenAlex

affiliations via OpenAlex

output
19982023
most citedDynamic Graph CNN for Learning on Point Clouds

287 citations

researchers with a paper here
  • F. Nielsen13 · h 44
  • H. Proper10 · h 38
  • Yizhou Yu7 · h 72
  • Maurice H. T. Ling6 · h 8
  • F. Murtagh5 · h 37
  • Gabriel Istrate5 · h 11
  • C. Bonchis4 · h 8
  • Dawei Yin4 · h 51
  • Jaydip Sen4 · h 31
  • R. Nock4 · h 36
  • Alice Baird3 · h 29
  • Björn Schuller3 · h 105
collaborating institutions
  • University of Science and Technology of ChinaCN10 papers
  • Chinese Academy of SciencesCN8 papers
  • Institute of Computing TechnologyCN8 papers
  • Stanford UniversityUS8 papers
  • Zhejiang UniversityCN8 papers
  • Alibaba Group (China)CN7 papers
  • Microsoft Research (United Kingdom)GB7 papers
  • Peking UniversityCN7 papers
  • University of Hong KongHK7 papers
  • Carnegie Mellon UniversityUS6 papers
  • Google (United States)US6 papers
  • Jingdong (China)CN6 papers
Showing 2016 · cs.LGShow all

1 paper · 2 filters

cs.LG2016★ 39 cited

Adaptive Skills, Adaptive Partitions (ASAP)

Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor

We introduce the Adaptive Skills, Adaptive Partitions (ASAP) framework that (1) learns skills (i.e., temporally extended actions or options) as well as (2) where to apply them. We…

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