公开(公告)号：US20220383070A1

公开(公告)日：2022-12-01

申请号：US17353691

申请日：2021-06-21

Applicant: salesforce.com, inc.

Inventor： Ali Madani ,  Alvin Guo Wei Chan

IPC: G06N3/04 ,  G06N3/08

Abstract: Embodiments described herein provide methods and systems for generating data samples with enhanced attribute values. Some embodiments of the disclosure disclose a deep neural network framework with an encoder, a decoder, and a latent space therebetween, that is configured to extrapolate beyond the attributes of samples in a training distribution to generate data samples with enhanced attribute values by learning the latent space using a combination of contrastive objective, smoothing objective, cycle consistency objective, and a reconstruction loss.