In their opening remarks, the conference chairs noted NeurIPS’ continuing growth.
This year’s conference hit another new record for registered participants, and submissions to the (relatively new) datasets & benchmarks track once again doubled year-on-year.
A new prize was announced: the Sejnowski-Hinton Prize, a $10k annual prize to an outstanding NeurIPS paper proposing a novel theory of how the brain works. The prize is funded by a donation from Geoffrey Hinton.
General Chair Lester Mackey announcing the Sejnowski-Hinton Prize
This year’s best paper awards:
- Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction by Keyu Tian, Yi Jiang, Zehuan Yuan, Bingyue Peng, and Liwei Wang.
- Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators by Zekun Shi, Zheyuan Hu, Min Lin, and Kenji Kawaguchi.
Runner-up awards:
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Not All Tokens Are What You Need for Pretraining by Zhenghao Lin, Zhibin Gou, Yeyun Gong, Xiao Liu, Yelong Shen, Ruochen Xu, Chen Lin, Yujiu Yang, Jian Jiao, Nan Duan, and Weizhu Chen.
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Guiding a Diffusion Model with a Bad Version of Itself by Tero Karras, Miika Aittala, Tuomas Kynkäänniemi, Jaakko Lehtinen, Timo Aila, and Samuli Laine.
Program Chair Chen Zhang announcing the best paper awards
This year’s datasets and benchmarks track best paper award goes to The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models by Hannah Rose Kirk, Alexander Whitefield, Paul Rottger, Andrew M. Bean, Katerina Margatina, Rafael Mosquera-Gomez, Juan Ciro, Max Bartolo, Adina Williams, He He, Bertie Vidgen, and Scott Hale.