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What’s coming up at #NeurIPS2023?

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07 December 2023



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The thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023) is due to kick-off on Sunday 10 December and run until Saturday 16 December. There is a bumper programme of events, including invited talks, orals, posters, tutorials, workshops, and socials, not to mention AIhub’s session on science communication.

Invited talks

There are seven invited talks this year.

Björn Ommer – NextGenAI: The Delusion of Scaling and the Future of Generative AI
Lora Aroyo – The Many Faces of Responsible AI
Linda Smith – Coherence statistics, self-generated experience and why young humans are much smarter than current AI
Jelani Nelson – Sketching: core tools, learning-augmentation, and adaptive robustness
Alexander Rush, Aakanksha Chowdhery, Angela Fan, Percy Liang, Jie Tang – Beyond Scaling (panel discussion)
Christopher Ré – Systems for Foundation Models, and Foundation Models for Systems
Susan Murphy – Online Reinforcement Learning in Digital Health Interventions

Affinity group workshops

The following affinity group workshops will take place on Monday 11 December:

Tutorials

For this year’s conference, there will be a total of 14 tutorials. These will be held on Monday 11 December, in person only.

  • How to Work With Real Humans in Human-AI Systems, Elizabeth Bondi-Kelly, Krishnamurthy Dvijotham, Matthew Taylor
  • Governance & Accountability for ML: Existing Tools, Ongoing Efforts, & Future Directions, Emily Black, Hoda Heidari, Dan Ho
  • Latent Diffusion Models: Is the Generative AI Revolution Happening in Latent Space?, Karsten Kreis, Ruiqi Gao, Arash Vahdat
  • Data Contribution Estimation for Machine Learning, Stephanie Schoch, Ruoxi Jia, Yangfeng Ji
  • Contributing to an Efficient and Democratized Large Model Era, James Demmel, Yang You
  • Recent and Upcoming Developments in Randomized Numerical Linear Algebra for ML, Michał Dereziński, Michael Mahoney
  • Language Models Meet World Models, Zhiting Hu, Tianmin Shu
  • Do You Prefer Learning with Preferences?, Aditya Gopalan, Aadirupa Saha
  • Data-Centric AI for reliable and responsible AI: from theory to practice, Mihaela van der Schaar, Isabelle Guyon, Nabeel Seedat
  • What can we do about NeurIPS Reviewer #2? Challenges, Solutions, Experiments and Open Problems in Peer Review, Nihar Shah
  • Reconsidering Overfitting in the Age of Overparameterized Models, Spencer Frei, Vidya Muthukumar, Fanny Yang
  • Exploring and Exploiting Data Heterogeneity for Prediction and Decision-Making, Peng Cui, Hongseok Namkoong, Jiashuo Liu, Tiffany Cai
  • Machine Learning for Theorem Proving, Emily First, Albert Q. Jiang, Kaiyu Yang
  • Application Development using Large Language Models, Andrew Ng, Isa Fulford

Find out more about the tutorials here.

Science communication for AI researchers – a quick introduction

We will be running a short course on science communication, on Monday 11 December. Find out more here.

Workshops

There will be a total of 58 workshops. These will be held on Friday 15 and Saturday 16 December:

Find out more about the workshops here.

Accepted papers and other events



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Lucy Smith , Managing Editor for AIhub.
Lucy Smith , Managing Editor for AIhub.




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