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In-Q-Tel

United States

12 papers here386 citations across 12
fields
  • cs.CV5
  • q-bio.QM2
  • cond-mat.stat-mech1
  • cs.AI1
  • cs.DL1
  • cs.SD1
  • q-bio.OT1
ROR 02qp5k481OpenAlex

affiliations via OpenAlex

output
20182021
most citedSpaceNet MVOI: a Multi-View Overhead Imagery Dataset

90 citations

researchers with a paper here
  • A. Titus3 · h 18
  • A. V. Etten3 · h 26
  • Jacob Shermeyer3 · h 10
  • Karl S. Ni2 · h 11
  • Paul Gamble2 · h 4
  • Stephanie M. Rogers2 · h 4
  • Todd Stavish2 · h 2
  • A. Bastidas1 · h 8
  • Adam Van Etten1
  • A. Flower1 · h 4
  • A. Lawson1 · h 16
  • Alexandra J. Lee1 · h 14
collaborating institutions
  • Dartmouth CollegeUS2 papers
  • Accenture (United States)US1 paper
  • Brigham and Women's HospitalUS1 paper
  • Carnegie Mellon UniversityUS1 paper
  • ConvergenceUS1 paper
  • Dalhousie UniversityCA1 paper
  • Georgetown UniversityUS1 paper
  • Georgetown University Medical CenterUS1 paper
  • Harvard UniversityUS1 paper
  • Heidelberg UniversityDE1 paper
  • Intel (United States)US1 paper
  • Johns Hopkins UniversityUS1 paper
Showing 2021Show all

2 papers · 1 filter

cs.AI2021★ 12 cited

Extending Environments To Measure Self-Reflection In Reinforcement Learning

Samuel Allen Alexander, Michael Castaneda, Kevin Compher +1

We consider an extended notion of reinforcement learning in which the environment can simulate the agent and base its outputs on the agent's hypothetical behavior. Since good perfo…

q-bio.OT2021★ 47 cited

Ten Quick Tips for Deep Learning in Biology

Benjamin D. Lee, Anthony Gitter, Casey S. Greene +17

Machine learning is a modern approach to problem-solving and task automation. In particular, machine learning is concerned with the development and applications of algorithms that…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.