Announcing ICLR 2021 Outstanding Paper Awards

  • based on paper reviews, we constructed a shortlist of candidate papers;
  • the shortlisted papers were sent to the Outstanding Paper Committee for further review;
  • the experts were asked to assess not only technical quality but also the potential for impact, including bringing in a new perspective, opening up an exciting direction, and making a strong contribution to addressing an important problem;
  • the highest-ranking papers were selected for the awards.
  • Adam White, University of Alberta
  • Aditya Krishna Menon, Australian National University
  • Adriana Romero, Facebook
  • Amir Globerson, Tel Aviv University
  • André Martins, Instituto Superior Técnico / Unbabel
  • Franziska Meier, Facebook
  • Irina Higgins, DeepMind
  • Michael S Ryoo, Stony Brook State University of New York
  • Mingyuan Zhou, The University of Texas at Austin
  • Natalia Neverova, Facebook
  • Panayotis Mertikopoulos, French National Center for Scientific Research
  • Piotr Koniusz, Australian National University
  • Rémi Flamary, Ecole Polytechnique
  • Tengyu Ma, Stanford University
  • Tie-Yan Liu, Microsoft
  • Yale Song, Microsoft

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ICLR

ICLR

International Conference on Learning Representations