Data Science

NVIDIA Research at NeurIPS 2020

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  • NVIDIA Research presents groundbreaking papers at the 2020 Neural Information Processing Systems conference, covering topics such as Tetrahedral Meshes for 3D Reconstruction and Deep Hierarchical Variational Autoencoders.
  • An AI training breakthrough using limited datasets is among the highlighted research.
  • NVIDIA announces the upcoming availability of the Omniverse Kaolin App for high fidelity rendering and interactive visualization of 3D data and training results.

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Researchers, developers, and engineers from all over the world are gathering virtually this year for the 2020 Neural Information Processing Systems (NeurlPS). NVIDIA Research will present its research through spotlight and posters.

NVIDIA’s accepted papers at this year’s online NeurIPS feature a range of groundbreaking research in the field of neural information processing systems.

From Tetrahedral Meshes for 3D Reconstruction, Deep Hierarchical Variational Autoencoders, to an AI training breakthrough using limited datasets.

At the conference NVIDIA announced the upcoming availability of the Omniverse Kaolin App that allows high fidelity rendering and interactive visualization of 3D data and training results.

Explore the work NVIDIA is bringing to the NeurIPS community. You can find the full event overview of NVIDIA’s activities here.

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