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Keynote Talk

Announcing ICLR 2023 Keynote Speakers

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By ICLR 2023 Senior Program Chair Been Kim and Program Chairs Maximilian Nickel, Mengdi Wang, Nancy F Chen, Vukosi Marivate

We are thrilled to host the following keynote speakers at ICLR 2023:

  • Elaine O. Nsoesie (Boston University School of Public Health and Center for Antiracist Research)
  • Sofia Crespo
  • Masashi Sugiyama (RIKEN / The University of Tokyo) 
  • Girmaw Abebe Tadesse (IBM Research)
  • Jascha Sohl-Dickstein (Google Brain)
  • Dilek Hakkani-Tur (stealth AI startup)

The keynote talks will cover a diverse set of research topics, ranging from generative models,

ML in health care and health equity, Statistical ML/theory, to Conversational AI and AI for creativity. All invited talks will be in-person, 60 min talk including a live Q&A. We hope that the talks will provoke us into thinking deeply about both the technical foundations of deep learning and its increasing impact on society.

We solicited keynote speaker nominations from area chairs and senior area chairs of ICLR 2022 as well as the public. Among more than 70+ nominations, we prioritized candidates who not only have conducted exciting research but also have contributed to diversity in the community. We would like to thank all ACs/SACs who submitted nominations of excellent speaker candidates.

We cannot wait to see the invited talks in-person and participate in the live Q&A at Rwanda.

Announcing ICLR 2022 Keynote Speakers

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By ICLR 2022 Senior Program Chair Yan Liu and Program Chairs  Chelsea Finn, Yejin Choi, Marc Deisenroth

We are thrilled to host the following keynote speakers at ICLR 2022:

  • John H. Amuasi (Kwame Nkrumah University of Science and Technology)
  • Jenny L. Davis (The Australian National University)
  • Been Kim (Google Brain)
  • Pushmeet Kohli (DeepMind)
  • Kunle Olukotun (Stanford University)
  • Doina Precup (McGill University & Mila; DeepMind Montreal) 
  • Cordelia Schmid (Inria; Google)
  • H. Sebastian Seung (Princeton University; Samsung Research)

The keynote talks will cover a diverse set of research topics, ranging from fundamental research in deep learning, such as deep reinforcement learning, interpretability, computer vision, AI ethics, and ML systems, to breakthroughs of deep learning in scientific domains, such as protein structure prediction, neuroscience, and global health and infectious diseases.  At ICLR 2022, each invited speaker will give a 30-min talk, followed by a live Q&A. We hope that the talks will provoke us into thinking deeply about both the technical foundations of deep learning and its increasing impact on society.

We solicited keynote speaker nominations from area chairs and senior area chairs of ICLR 2022 as well as the public. Among more than 60 nominations, we prioritized candidates who not only have conducted exciting research but also have contributed to diversity in the community. We would like to thank all ACs/SACs who submitted nominations of excellent speaker candidates and the Diversity Equity & Inclusion Chairs, Krystal Maughan and Rosanne Liu for their valuable input. 

We cannot wait to see the invited talks and participate in the live Q&A for all speakers at ICLR 2022.