Amii Presentations & Papers at ICLR 2021

The ninth annual International Conference on Learning Representations (ICLR) is taking place May 3-7 online this year! We are proud to share that the work of our researchers are being included in the proceedings.

ICLR is the premier gathering of professionals dedicated to the advancement of the branch of AI called representation learning -- also known as deep learning -- as well as its application areas. Out of the nearly 3000 submissions, only 860 were accepted for presentation at the conference; and of those accepted, only 114 submissions were selected for Spotlight presentations.

Amii Fellows and Canada CIFAR AI Chairs – professors at the University of Alberta and the University of British Columbia – are included in the proceedings, as well as other Amii researchers and alums (* indicates Amii researcher or alum):

Accepted Submissions

Poster Presentations

Fuzzy Tiling Activations: A Simple Approach to Learning Sparse Representations Online

Spotlight Presentations

PMI-Masking: Principled masking of correlated spans

  • Yoav Levine, Barak Lenz, Opher Lieber, Omri Abend, Kevin Leyton-Brown, Moshe Tennenholtz, Yoav Shoham

Workshop Papers

Model-Invariant State Abstractions for Model-Based Reinforcement Learning featured at the Self-supervision for Reinforcement Learning (SSL-RL) workshop:

Towards Reinforcement Learning in the Continuing Setting featured at the Never-Ending Reinforcement Learning (NERL) workshop:

Improved object recognition using neural networks trained to mimic the brain's statistical properties presented at the How Can Findings About The Brain Improve AI Systems? workshop:

  • Callie Federer, Haoyan Xu*, Alona Fyshe, Joel Zylberberg


Amii Fellows & Canada CIFAR AI Chairs have also served in the organization of the conference:

Area Chairs

  • Matthew E. Taylor
  • Adam White

Outstanding Paper Award Committee

  • Adam White

As well, Amii researchers and alum have received accolades for being outstanding reviewers! Congratulations to Eric Graves, Kris De Asis, Nadia Ady, Mike Johanson and Amii Fellow & Canada CIFAR AI Chair Martha White.

Learn how Amii advances world-leading artificial intelligence and machine learning research: visit our Research page.

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