Abstract. This paper introduces a generative model equivariant to Euclidean symmetries: E(n) Equivariant Normalizing Flows (E-NFs). To construct E ...
Missing: q= file/ pdf
In 2021, NeurIPS introduced a new track, Datasets and Benchmarks. The first year of that track, 2021, has its own proceedings, accessible by the link below.
Missing: q= 21b5680d80f75a616096f2e791affac6- Supplemental.
We show that diffusion models can achieve image sample quality superior to the current state-of-the-art generative models. We achieve this on unconditional ...
Missing: q= file/ 21b5680d80f75a616096f2e791affac6- pdf
This paper proposes a novel neural architecture to achieve both CF prevention and knowledge transfer, which also deals with the CF problem with BERT fine-tuning ...
We propose a new framework for estimating generative models via adversarial nets, in which we simultaneously train two models: a generative model G that ...
Missing: q= 2021/ file/ 21b5680d80f75a616096f2e791affac6- Supplemental.
We propose a novel, simple network architecture based solely onan attention mechanism, dispensing with recurrence and convolutions entirely.Experiments on two ...
Missing: q= 2021/ 21b5680d80f75a616096f2e791affac6- Supplemental.
Thirty-Fifth Conference on Neural Information Processing Systems. NeurIPS 2021. Online Dec 07 2021 https://neurips.cc neurips2021pcs@gmail.com.
In order to show you the most relevant results, we have omitted some entries very similar to the 7 already displayed.
If you like, you can repeat the search with the omitted results included. |